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Measuring Domain-Specific Knowledge: From Bach to Fibonacci [PDF]
Along with crystallized intelligence (Gc), domain-specific knowledge (Gkn) is an important ability within the nomological net of acquired knowledge. Although Gkn has been shown to predict important life outcomes, only a few standardized tests measuring ...
Marianna Massimilla Rusche +1 more
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Collective rights to information. Lessons from the GKN case
The essay addresses the recent decision of the Labour Court of Florence on the anti-trade union behaviour of GKN, a company belonging to a financial fund based in UK, which has been ordered to revoke the collective redundancy procedure initiated on 9 ...
Giulia Frosecchi
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A GKN Theorem for symmetric operators
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aiping Wang
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Freeze Casting of Microporous Composite Beads Based on a Polymer of Intrinsic Microporosity for Gas Storage Applications [PDF]
Catherine Butler +6 more
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Resistance Switching Effect in Octahedral framework oxide
Resistive Random-Access Memories (ReRAM) are an alternative way to create new memory devices. This is physically possible due to the existence in the material, of two resistive states clearly discreditable, as a function of voltage value and polarity ...
Y. Gagou +3 more
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Chap. 26 - Resistance Switching Effect in Octahedral framework oxide
Resistive Random-Access Memories (ReRAM) are an alternative way to create new memory devices. This is physically possible due to the existence in the material, of two resistive states clearly discreditable, as a function of voltage value and polarity ...
Yaovi GAGOU +3 more
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PEROVSKITES AND OTHER FRAMEWORK STRUCTURE CRYSTALLINE MATERIALS (BOOK' FIRST PAGES AND PREFACE)
Perovskites are among the most famous materials due to their exceptional properties: they present nearly all existing types of interesting properties, in particular as ferroics or multiferroics, they may be insulators, (super)conductors, or ...
Saint-Grégoire P., Smirnov M.
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A radical shift in technology is necessary to enable future air transport solutions. Sustainability targets for aeroengine manufacturing mean more than reducing CO2 and NOX.
Sophie I. Hallstedt +4 more
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Feasibility Study of Wheel Torque Prediction with a Recurrent Neural Network Using Vehicle Data
In this paper, we present a feasibility study on predicting the torque signal of a passenger car with the help of a neural network. In addition, we analyze the possibility of using the proposed model structure for temperature prediction. This was carried
Miriam Weinkath +2 more
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Harmonic Forcing from Distortion in a Boundary Layer Ingesting Fan
Integrating a fan with a boundary layer ingestion (BLI) configuration into an aircraft fuselage can improve propulsion efficiency by utilizing the lower momentum airflow in the boundary layer developed due to the surface drag of the fuselage.
Hans Mårtensson
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