Results 91 to 100 of about 750,862 (291)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
As the Cursor Blinks: Electronic Scholarship and Undergraduates in the Library [PDF]
, 1995 published or submitted for ...
Blandy, Susan Griswold +1 more
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Advanced Science, EarlyView.Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Rotary Electromechanical System Integrating Non‐Reciprocal Memory and Combinational Logic
Advanced Science, EarlyView.Rotational bistability, interfaced through a conductive network with switchable contacts, unifies logic operations and mechanical memory within a rotary electromechanical system. The author demonstrates how serially coupled configurations of rotationally bistable modules enable reprogrammable sequential logic governed by mechanical state transition and
Shujia Chen, Don Straney, Damiano Pasini
wiley +1 more source
, 2009 The scholastic debate about use and interpretation of the phrase “faith-learning integration” has spanned over fifty years. Glanzer (2008) proposed that this phrase be discarded and that scholars adopt the terminology “the creation and redemption of ...
Hollabaugh, Jaliene +2 more
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Scholarly Communications Report on Activities 2017-18
, 2018 2017-18 annual report for Scholarly Communications work at Musselman Library, including Gettysburg College\u27s institutional repository, The Cupola: Scholarship at Gettysburg College.
Wertzberger, Janelle
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Advanced Science, EarlyView.Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély +5 more
wiley +1 more source
Designing the interface between research, learning and teaching. [PDF]
, 2007 : This paper’s central argument is that teaching and research need to be reshaped so that they connect in a productive way. This will require actions at a whole range of levels, from the individual teacher to the national system and include the ...
Drew, Linda
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How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?
Advanced Science, EarlyView.This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen +5 more
wiley +1 more source