Results 41 to 50 of about 18,788,717 (252)
Calibrating Car-Following Model Considering Measurement Errors
Car-following model has important applications in traffic and safety engineering. To enhance the accuracy of model in predicting behavior of individual driver, considerable studies strive to improve the model calibration technologies.
Chang-qiao Shao +2 more
doaj +1 more source
Liver organoids: modelling complexity in homeostasis and disease
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Subcritical Hopf bifurcations in a car-following model with reaction-time delay [PDF]
A nonlinear car-following model of highway traffic is considered, which includes the reaction-time delay of drivers. Linear stability analysis shows that the uniform flow equilibrium of the system loses its stability via Hopf bifurcations and thus ...
Orosz, G, Stepan, G
core
Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning
Building a human-like car-following model that can accurately simulate drivers’ car-following behaviors is helpful to the development of driving assistance systems and autonomous driving. Recent studies have shown the advantages of applying reinforcement
Yang Zhou +3 more
doaj +1 more source
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence
In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved
Da-wei Liu, Zhong-ke Shi, Wen-Huan Ai
doaj +1 more source
Virtual Vehicle Simulation Method Based on Car-following Model [PDF]
In the urban traffic simulation,vehicles start slowly with the existing Intelligent-driver Model(IDM).To solve this problem,this paper proposes an improved IDM,which considers how vehicle distance affects vehicle velocitiy,uses acceleration term based on
LU Tao,LIU Zhen,LIU Tingting,LIU Cuijuan,CHAI Yanjie,FANG Hao
doaj +1 more source
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Modeling and Simulating Urban Traffic Flow Mixed With Regular and Connected Vehicles
In the upcoming decades, connected vehicles will join regular vehicles on the road, and the characteristics of traffic flows will change accordingly. To better understand mixed traffic flow (regular vehicles and connected vehicles) characteristics, a ...
Zuping Cao, Lili Lu, Chen Chen, Xu Chen
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source

