Results 121 to 130 of about 311,049 (304)

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

open access: yesNonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid   +2 more
wiley   +1 more source

Near visual function measured with a novel tablet application in patients with astigmatism

open access: yesClinical and Experimental Optometry, EarlyView., 2020
Clinical relevance While the clinical focus of performance metrics is traditionally based on visual acuity, research from the field of visual impairment has demonstrated that metrics such as reading speed and critical print size correlate much more strongly with subjective patient reported outcomes and assessed ability in real‐world tasks.
Ananya Datta   +8 more
wiley   +1 more source

Capitalisation d'une ressource en or : le dictionnaire

open access: yes, 2006
The goal of this paper is to explore extensions to electronic dictionaries. Adding certain functions could considerably extend the range of tasks for which they could provide support.
Zock, Michael
core   +1 more source

Thematic Annotation: extracting concepts out of documents [PDF]

open access: yes, 2004
Contrarily to standard approaches to topic annotation, the technique used in this work does not centrally rely on some sort of -- possibly statistical -- keyword extraction. In fact, the proposed annotation algorithm uses a large scale semantic database -
Andrews, Pierre, Rajman, Martin
core   +1 more source

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

open access: yesOrgan Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source

Information architecture for a federated health record server [PDF]

open access: yes, 2002
This paper describes the information models that have been used to implement a federated health record server and to deploy it in a live clinical setting.
Austin, T   +5 more
core  

Large‐language‐models for pediatric diagnosis: Performance evaluation using real‐world clinical notes from common and rare cases

open access: yesPediatric Investigation, EarlyView.
• Advanced large language models exhibited superior diagnostic accuracy compared to clinicians, particularly for rare diseases, with Claude‐3.5 Sonnet and o1‐preview demonstrating the highest consistency between query iterations. ABSTRACT Importance Rigorous evaluation of large language models (LLMs) in pediatric diagnosis using authentic clinical ...
Cristian Launes   +12 more
wiley   +1 more source

The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology

open access: yesSustainable Development, EarlyView.
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley   +1 more source

Ein Korpus als Garant zuverlässiger lexikografischer Informationen? Eine vergleichende Stichprobenuntersuchung [PDF]

open access: yes, 2015
Current working practice of established German dictionaries incorporates large corpora as the basis of most analyses, descriptions and presentations. It is, however, individual lexicological and/or different corpus-methodological approaches that play a ...
Schnörch, Ulrich, Storjohann, Petra
core  

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

open access: yesSustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione   +2 more
wiley   +1 more source

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