Results 51 to 60 of about 62,695 (264)

The engagement of people with lived experiences in substance use research

Frontiers in Public Health
BackgroundPeople with lived experiences (PWLE) are underrepresented in research engagement, however their involvement can significantly boost the relevance and impact of research.
Catherine Kim
doaj   +1 more source

Disclosure and Hiding Online. Pleading for Prevention of Online Violence among Teenagers

Social Change Review, 2011
The present paper discusses disclosure, hiding and self protection in the current online interactions among teenagers. It focuses on disclosure of inner feelings and attitudes, and hiding as a form of self protection online.
Diaconescu Maria
doaj   +1 more source

Application of Trust in Recommender Systems—Utilizing Naive Bayes Classifier

Computation, 2022
Receiving a recommendation for a certain item or a place to visit is now a common experience. However, the issue of trustworthiness regarding the recommended items/places remains one of the main concerns.
Korab Rrmoku, Besnik Selimi, Lule Ahmedi
doaj   +1 more source

Trustworthy scientific computing [PDF]

Communications of the ACM, 2021
Addressing the trust issues underlying the current limits on data sharing.
openaire   +4 more sources

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH Framework

IEEE Access
Artificial intelligence is revolutionizing healthcare. However, its adoption is hindered by the technical-proficiency gap, the disconnect between AI complexity and clinical interpretability.
Shatha Alghamdi, Rashid Mehmood, Fahad A. Alqurashi, Ali Alzahrani   +3 more
doaj   +1 more source

Rheumatoid Arthritis Diagnosis: Deep Learning vs. Humane

Applied Sciences, 2021
Rheumatoid arthritis (RA) is a systemic autoimmune disease that preferably affects small joints. As the well-timed diagnosis of the disease is essential for the treatment of the patient, several works have been conducted in the field of deep learning to ...
George P. Avramidis, Maria P. Avramidou, George A. Papakostas   +2 more
doaj   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Conceptualizing and Validating the Trustworthiness of Maps through an Empirical Study on the Influence of Cultural Background on Map Design Perception

ISPRS International Journal of Geo-Information
Maps are the culmination of numerous choices, with many offering multiple alternatives. Not all of these choices are inherently guided by default, clarity, or universally accepted best practices, guidelines, or recommendations.
Georg Gartner, Olesia Ignateva, Bibigul Zhunis, Johanna Pühringer   +3 more
doaj   +1 more source

What Role for Law, Human Rights, and Bioethics in an Age of Big Data, Consortia Science, and Consortia Ethics? The Importance of Trustworthiness

Laws, 2015
The global bioeconomy is generating new paradigm-shifting practices of knowledge co-production, such as collective innovation; large-scale, data-driven global consortia science (Big Science); and consortia ethics (Big Ethics).
Edward S. Dove, Vural Özdemir
doaj   +1 more source