Results 271 to 280 of about 399,216 (332)

A Consensual Qualitative Research Study of School Counseling Site Supervisors' Group Work Supervision

open access: yesCounselor Education and Supervision, EarlyView.
ABSTRACT Group work is a critical tool for school counselors. In this Consensual Qualitative Research, we used semistructured interviews with 13 school counseling site supervisors to explore influences on their group work supervision. We found supervisors were informed by historical backgrounds, school contexts, approaches to group work, and approaches
Lauren Moss   +4 more
wiley   +1 more source

Founder smiles increase investor trust and funding. [PDF]

open access: yesSci Rep
Stefanidis D   +5 more
europepmc   +1 more source

An Interpretative Phenomenological Analysis of Counseling Interns’ Experiences Serving Older Adults

open access: yesCounselor Education and Supervision, EarlyView.
ABSTRACT Demographic shifts and recent changes to Medicare will result in more older adults utilizing counseling. Field experiences, including internships, are vital opportunities for graduate students to gain exposure to new populations, including older adults. We interviewed eight participants who completed internships in a continuing care retirement
Matthew C. Fullen   +2 more
wiley   +1 more source

Petra: Trustworthy and Confidential SBOM Exchange

open access: green
Abu Ishgair, Eman   +3 more
openalex   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil   +2 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

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