Results 81 to 90 of about 187,858 (317)
Hybrid Data-Driven and Physics-Based Modeling for Gas Turbine Prescriptive Analytics
International Journal of Turbomachinery, Propulsion and Power, 2020 This paper presents a methodology for predictive and prescriptive analytics of a gas turbine. The methodology is based on a combination of physics-based and data-driven modeling using machine learning techniques.
Sergei Belov +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo +6 more
wiley +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Hybrid Modeling: New Answers to Old Challenges [PDF]
After nearly two decades of debate and fundamental disagreement, topdown and bottom-up energy-economy modelers, sometimes referred to as modeling ‘tribes', began to engage in productive dialogue in the mid-1990s (IPCC 2001).
Mark Jaccard +3 more
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New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
Hybrid modeling and optimization of biological processes
, 2013 Proß S. Hybrid modeling and optimization of biological processes.
Proß, Sabrina
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Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli +5 more
wiley +1 more source
Modelica Hybrid Modeling and Efficient Simulation
, 1999 Modelica is an object-oriented language for modeling of large and heterogeneous physical systems. Typical applications include mechatronic models in automo-tive and aerospace applications involving mechani-cal, electrical and hydraulic subsystems as well
Otter, Martin +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Object-Oriented and Hybrid Modeling in Modelica
, 2001 Modelica is an object-oriented language for modeling of large and heterogeneous physical systems. Typical applications include mechatronic models in robotics, automotive and aerospace applications involving mechanical, electrical, hydraulic and control ...
Otter, Martin +2 more
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