Results 81 to 90 of about 53,870 (265)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Integration of CFD Methods into Concurrent Design of Internal Combustion Engine

open access: yesActa Polytechnica, 2004
This paper describes patterns of algorithms for different innovative levels of design at parametric, configuration and conceptual levels. They can be applied to Computer-aided Engine Design (CED).
M. Polášek   +3 more
doaj  

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

ALGORITHMIC LITERACIES: IDENTIFYING EDUCATIONAL MODELS AND HEURISTICS FOR ENGAGING THE CHALLENGE OF ALGORITHMIC CULTURE

open access: yesDigital Culture & Education, 2023
Algorithms are interwoven in the fabric of digital culture. They increasingly mediate our experience of politics, culture, identity, and agency. Building on critical research in other fields, critical educational theorists are exploring the pervasive ...
Kurt Thumlert   +5 more
doaj  

Adaptive Observer for Coupled Wave PDE and Infinite ODE With Sampled Data and Unknown Input: Application to Brain Hemodynamics Estimation

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir   +2 more
wiley   +1 more source

The Role of Beliefs and Behavior on Facebook: A Semiotic Approach to Algorithms, Fake News, and Transmedia Journalism

open access: yesInternational Journal of Communication, 2019
This article discusses, from a Peircean semiotic perspective, (1) the logic of algorithms employed by Facebook to foster audience engagement as it relates to the spreadability of fake news in the context of transmedia journalism, and (2) how our own ...
Priscila Monteiro Borges   +1 more
doaj  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Algorithms as culture: Some tactics for the ethnography of algorithmic systems

open access: yesBig Data & Society, 2017
This article responds to recent debates in critical algorithm studies about the significance of the term “algorithm.” Where some have suggested that critical scholars should align their use of the term with its common definition in professional computer ...
Nick Seaver
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Learning Algorithms for Ophthalmologists: A Conceptual Primer

open access: yesJournal of Academic Ophthalmology, 2019
Ariana M. Levin   +2 more
doaj   +1 more source

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