Results 21 to 30 of about 20,842 (266)

Fractal characteristics of urban surface transit and road networks: Case study of Strasbourg, France

open access: yesAdvances in Mechanical Engineering, 2017
The fractal characteristics of urban forms and road networks can provide extremely useful information for urban planning. Previous research, however, has hardly acknowledged the fractal nature of transit networks, although this topic is of vital ...
Hao Wang, Sida Luo, Tianming Luo
doaj   +1 more source

Interactions between tram passengers and road vehicles at tram stops - a pilot study

open access: yesTransactions on Transport Sciences, 2020
Modern urban and metropolitan areas face numerous problems associated with transport activity, such as pollution, congestion, noise or traffic incidents.
Piotr Soczówka, Renata Żochowska
doaj   +1 more source

Research Review on Traffic Safety for Expressway Maintenance Road Sections

open access: yesApplied Sciences
With the aging of China’s expressway network, the number of maintenance projects continues to increase, and issues such as construction safety, driving risk, and traffic efficiency have become increasingly prominent.
Jin Ran   +5 more
doaj   +1 more source

Airport typology for LCC policy changes: a European perspective

open access: yesAviation, 2020
This paper proposes a new airport typology that might arise from the expansion of airports with dominant low cost carrier traffic. In the first part of the paper, the typologies and different airport categorizations are reviewed with examples of current ...
Antonín Kazda   +2 more
doaj   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Leonurine Ameliorates Doxorubicin‐Induced Cardiotoxicity via STING/NF‐κB/NLRP3 Inflammasome Signaling Pathway

open access: yesAdvanced Science, EarlyView.
ABSTRACT Doxorubicin‐induced cardiomyopathy (DIC) remains a dose‐limiting clinical challenge. This study reveals that cardiac vascular endothelial cells (CVECs) act as initial sensors of doxorubicin cardiotoxicity: circulating doxorubicin activates the cGAS‑STING pathway in CVECs, triggering NLRP3 inflammasome‑mediated pyroptosis and release of ...
Wang Jun   +10 more
wiley   +1 more source

Some applications and prospects of cellular automata in traffic problems

open access: yes, 2006
In this paper we deal with mathematical modeling of participants' movement based on cellular automata (CA). We describe some improvements of CA models of pedestrian motion taking into account the real geometrical constraints induced by a specific ...
Alexander Makarenko   +8 more
core   +1 more source

Biodegradable Zn‐Based Implants: Progress, Challenges, and Pathways toward Clinical Translation

open access: yesAdvanced Science, EarlyView.
Exploring biodegradable Zn‐based implants offers a promising pathway to next‐generation biomedical devices with balanced degradation and biocompatibility. A comprehensive overview of biodegradable Zn‐based implants, covering their biological significance, material design principles, and advanced engineering strategies is provided.
Panfeng Zhao   +10 more
wiley   +1 more source

Optimizing Large-Scale Demand and Capacity Balancing in Air Traffic Flow Management Using Deep Neural Networks

open access: yesAerospace
Over the past forty years, air traffic flow management (ATFM) has garnered significant attention since the initial approach was introduced to address single-airport ground delay issues.
Yunxiang Chen   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy