Results 41 to 50 of about 10,135,005 (257)

A Taxonomic Odyssey: Evolution, Criticisms, and Future Directions of Driving Automation Taxonomies – The Case of SAE J3016

Transportation Research Interdisciplinary Perspectives
While the Society of Automotive Engineers (SAE) International’s classification system (J3016) has provided a framework for categorising sustained driving automation systems, concerns have arisen about its clarity and ability to incorporate emerging ...
Soyeon Kim, Fjollë Novakazi, Elisabeth Shi, Ilse M. Harms, Oscar Oviedo-Trespalacios   +4 more
doaj   +1 more source

Drivers’ usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA

IET Intelligent Transport Systems, 2023
The purpose of the study was to investigate how drivers use assisted and automated driving systems (DAS), more specifically their usage of SAE Level 1 and Level 2 systems, in different situations.
MariAnne Karlsson, Fjollë Novakazi
doaj   +1 more source

The decline of user experience in transition from automated driving to manual driving [PDF]

, 2021
Automated driving technologies are rapidly being developed. However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system.
Annie Rydström, Novakazi, Fjolle,, Söderholm, Mattias Mullaart,, Mattias Mullaart Söderholm, Johansson, Mikael, Söderholm Mullaart, Mattias,, Fjollë Novakazi, Rydström, Annie,, S\uf6derholm, Mattias Mullaart, Rydstr\uf6m, Annie, Novakazi, Fjolle, Mikael Johansson, Johansson, Mikael,   +12 more
core   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

A study on identifying representative trips for mobility service design

IET Intelligent Transport Systems
Recently, with growing interest in urban mobility patterns, the demand for collecting and analysing origin‐destination (OD) data is increasing. Due to the large scale and dimensionality of OD data, there are two issues in analysing the data: big‐data ...
Jeongyun Kim, Sehyun Tak, Jinwon Yoon, Hwasoo Yeo   +3 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop

Information, 2020
Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human–machine interfaces (HMIs) for AVs ...
Nadja Schömig, Katharina Wiedemann, Sebastian Hergeth, Yannick Forster, Jeffrey Muttart, Alexander Eriksson, David Mitropoulos-Rundus, Kevin Grove, Josef Krems, Andreas Keinath, Alexandra Neukum, Frederik Naujoks   +11 more
doaj   +1 more source

Reliability Evaluation of Visualization Performance of Convolutional Neural Network Models for Automated Driving

International Journal of Automotive Engineering, 2021
As deep learning methods in image recognition have achieved excellent performance, researchers have begun to apply CNNs(convolutional neural networks) to automated driving.
Chenkai Zhang, Yuki Okafuji, Takahiro Wada   +2 more
doaj   +1 more source

An object model development for the UK automated compliance checking [PDF]

, 2013
Approving building designs against existing UK building regulations manually is a time consuming and tedious process. As the architecture engineering construction (AEC) industry moves from 2D CAD drawings to more semantically rich building information ...
Malsane, S., Lockley, Steve, Matthews, Jane, Lockley, S., Malsane, Sagar   +4 more
core  

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source