Results 51 to 60 of about 13,370 (299)

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

open access: yesFEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi   +6 more
wiley   +1 more source

Integrating micro and macro traffic control for mixed autonomy traffic

open access: yesCommunications in Transportation Research
During the transition to fully autonomous traffic systems, managing mixed traffic consisting of connected automated vehicles (CAVs) and human-driven vehicles (HDVs) is imperative.
Tingting Fan, Jieming Chen, Edward Chung
doaj   +1 more source

Nautical traffic simulation with multi-agent system

open access: yes, 2013
This paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships.
Coen van Gulijk   +16 more
core   +1 more source

Flood Impacts on Road Transportation Using Microscopic Traffic Modelling Techniques [PDF]

open access: yes, 2018
This is the author accepted manuscript. The final version is available from Springer via the DOI in this recordThis paper proposes a novel methodology for modelling the impacts of floods on traffic.
David Butler   +13 more
core   +1 more source

MICROSCOPIC TRAFFIC FLOW MODEL WITH INFLUENCE OF PASSENGER TRANSPORT

open access: yes, 2023
To analyze the influence of passenger transport on traffic flow, we develop a microscopic traffic flow model that incorporates various factors such as vehicle speed, acceleration, deceleration, lane-changing behavior, and interaction between different ...
Popov Stanislav, Polishchuk Volodymyr
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

PERFORMANCE EVALUATION OF ROUNDABOUTS USING A MICROSCOPIC SIMULATION MODEL [PDF]

open access: yesScientific Journal of Silesian University of Technology. Series Transport, 2019
Contemporary planning of the road network in cities assumes the use of transport models. The microscopic model allows provision of information and decision-making regarding, for example, emissions, traffic organisation, geometrics of the intersection and
Marcin Jacek KLOS, Aleksander SOBOTA
doaj   +1 more source

The use of micro-simulation for congested traffic load modelling of medium- and long-span bridges

open access: yes, 2011
This paper presents a new approach to the modelling of congested traffic loading events on long span bridges. Conventional traffic load models are based on weigh-in-motion data of non-congested traffic, or something similar to a Poisson Arrival process ...
O\u27Brien, Eugene J.   +3 more
core   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

A Traffic Flow Simulation Framework for Learning Driver Heterogeneity from Naturalistic Driving Data using Autoencoders

open access: yesInternational Journal of Automotive Engineering, 2019
This paper proposes a novel data-centric framework for microscopic traffic flow simulation with intra and inter driver heterogeneity. We utilized a naturalistic driving corpus of 46 different drivers to learn and model the behavior divergence of Japanese
Ekim Yurtsever   +2 more
doaj   +1 more source

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