Results 151 to 160 of about 476,073 (309)

Unveiling Bias: The Impact of Male Rape Myths and Stereotypes on Juror Verdicts in Male‐on‐Male Rape Trials

open access: yesBehavioral Sciences &the Law, EarlyView.
ABSTRACT This study examined how male rape myths, racial/ethnicity biases, and sexuality stereotypes influence verdicts in male‐on‐male rape trials—an area that is currently under‐researched. A sample of 463 participants read a mock rape trial, where both the defendant and complainant were male, with defendant ethnicity (White, Black, Asian) and ...
Lee J. Curley   +3 more
wiley   +1 more source

Procedure and Treatment Refusal in Pediatric Practice: A Single-Center Experience at a Children's Hospital in Saudi Arabia. [PDF]

open access: yesCureus
Alharbi ES   +6 more
europepmc   +1 more source

Management of severe bone loss in patients at risk of medication‐related osteonecrosis of the jaw with microsurgery and guided bone regeneration: A case study

open access: yesClinical Advances in Periodontics, EarlyView.
Abstract Background Medication‐related osteonecrosis of the jaw (MRONJ) is a challenging complication associated with antiresorptive medications. Its exact pathophysiology remains unclear, but dental extractions and infections are known triggers, complicating prevention, and treatment.
Pedro Franco Ferreira   +3 more
wiley   +1 more source

Framing Modern Slavery: Do Stakeholders Talk Past Each Other?

open access: yesCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, EarlyView.
ABSTRACT Modern slavery literature has thus far mostly adopted a downstream perspective, in the sense that researchers investigated corporate actors' responses after the enactment of transparency legislation. The common finding is that corporate disclosure is poor and ineffective, contributing to a failure to eradicate modern slavery.
Sylvain Durocher   +2 more
wiley   +1 more source

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

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