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Best Practice & Research Clinical Haematology, 2021
Chimeric antigen receptor (CAR) T cells have revolutionized the management of B cell malignancies. These synthetic molecules are composed of peptide fragments from several distinct immune cell proteins and link highly-specific antigen recognition with potent T cell activation.
Amanda Heard +3 more
openaire +2 more sources
Chimeric antigen receptor (CAR) T cells have revolutionized the management of B cell malignancies. These synthetic molecules are composed of peptide fragments from several distinct immune cell proteins and link highly-specific antigen recognition with potent T cell activation.
Amanda Heard +3 more
openaire +2 more sources
Prediction of Car Design Perception Using EEG and Gaze Patterns
IEEE Transactions on Affective Computing, 2019In this paper, we deal with the issue of implicit monitoring of perceptual responses to product design through electroencephalography (EEG) and eye tracking.
Seong-eun Moon +3 more
semanticscholar +1 more source
Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark
IEEE International Conference on Systems, Man and Cybernetics, 2019Evolutionary multitasking is currently under focus as a new application of evolutionary computation where a search population operates independent problems in parallel.
Heng Xiao, Gen Yokoya, T. Hatanaka
semanticscholar +1 more source
SAE Technical Paper Series, 1997
<div class="htmlview paragraph">The object of this paper is to describe in a compressed mode the steps that have been taken, to design a prototype of the <b>TRIPHIBIAN FLYING CAR</b>, which can one day be converted into the every-man's utility car of the future. The TRIPHIBIAN should be a comfortable high performance car and amphibian
Zsolt Eugenio Geza Follmann +1 more
openaire +2 more sources
<div class="htmlview paragraph">The object of this paper is to describe in a compressed mode the steps that have been taken, to design a prototype of the <b>TRIPHIBIAN FLYING CAR</b>, which can one day be converted into the every-man's utility car of the future. The TRIPHIBIAN should be a comfortable high performance car and amphibian
Zsolt Eugenio Geza Follmann +1 more
openaire +2 more sources
Car Interaction Design for Car-Sharing Systems
Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018The purpose of this project was to understand the difficulties encountered in the proper placement of secondary controls on an automotive instrument panel while driving a rented car on a short-term basis, such as provided through a service such as Zip Car.
Byungsoo Kim +3 more
openaire +1 more source
CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013
Interactive vehicle windows can enrich the commuting experience by being informative and engaging, strengthening the connection between passengers and the outside world. We propose a preliminary interaction paradigm to allow rich and un-distracting interaction experience on vehicle side windows.
Jiannan Li +3 more
openaire +1 more source
Interactive vehicle windows can enrich the commuting experience by being informative and engaging, strengthening the connection between passengers and the outside world. We propose a preliminary interaction paradigm to allow rich and un-distracting interaction experience on vehicle side windows.
Jiannan Li +3 more
openaire +1 more source
PM4Car: A Scriptable Parametric Modeling Interface for Conceptual Car Design Using PM4VR
2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)This paper introduces PM4Car, a novel scriptable parametric modeling interface tailored for conceptual car design, leveraging the power of PM4VR (Parametric Modeling for Virtual Reality).
Wanwan Li
semanticscholar +1 more source
Design Automation Conference
This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
Mohamed Elrefaie, Angela Dai, Faez Ahmed
semanticscholar +1 more source
This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
Mohamed Elrefaie, Angela Dai, Faez Ahmed
semanticscholar +1 more source