Results 81 to 90 of about 536,964 (263)
The digital transformation of public services has led to a surge in the volume and complexity of informatics-related complaints, often marked by ambiguous language, inconsistent terminology, and fragmented reporting. Conventional keyword-based approaches
Marco Esperança +5 more
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Intelligent Data Analysis [PDF]
Michael R. Berthold, David I. Hand
openaire +1 more source
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
THE INTEGRATION OF EMERGING TECHNOLOGIES INTO INNOVATIVE SMART NATION PROJECTS AND SOLUTIONS [PDF]
In the current circumstances of accelerated technological and economic evolution, the success of nations depends on the level of education in their society, as well as its imminent consequences, such as the performance of human capital revealed by the ...
Laurențiu-Octavian MUTULEANU
doaj
Micro- and Nanoplastics as a Potential Risk Factor for Stroke: A Systematic Review
Environmental pollution with micro- and nanoplastics (MNPs) is an escalating global health concern. Despite growing evidence of MNPs’ presence in the human body, their impact on cerebrovascular diseases remains poorly understood.
Jakub Kufel +6 more
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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
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
What Do Large Language Models Know About Materials?
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
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Synaptic facilitation and learning of multiplexed neural signals
IntroductionIn this work, we introduce a novel approach to one of the historically fundamental questions in neural networks: how to encode information?
Nigel Crook +3 more
doaj +1 more source

