Results 61 to 70 of about 1,522,764 (280)
How human drivers control their vehicle
, 2006 The data presented here show that human drivers apply a discrete noisy control mechanism to drive their vehicle. A car-following model built on these observations, together with some physical limitations (crash-freeness, acceleration), led to non ...
Wagner, Peter
core +2 more sources
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Analysis of Information Reliability on Dynamics of Connected Vehicles
IEEE Access, 2019 The emergence of connected and automated vehicles technology is beneficial in the enhancement of traffic flow performance, in particular, traffic stream stability and roadway capacity.
Tao Wang, Jing Zhang, Shubin Li
doaj +1 more source
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
Molecular Oncology, EarlyView.CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source
Physical enhanced residual learning (PERL) framework for vehicle trajectory prediction
Communications in Transportation ResearchWhile physics models for predicting system states can reveal fundamental insights owing to their parsimonious structure, they may not always yield the most accurate predictions, particularly for complex systems.
Keke Long +5 more
doaj +1 more source
An Attention-Based Car-Following Model Based on Fused Data
IEEE Access, 2023 Data-driven car-following models provide an alternative approach to explore the underlying and complex driving behavior, while they suffer from poor generalization ability that makes it difficult to be applied to traffic simulations.
Li-Zheng Wang +5 more
doaj +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
On Stability Analysis of Car-Following Models with Various Discrete Operators
Applied SciencesThis paper investigates a car-following model that incorporates both classical and fractional discrete operators. While classical models have been extensively studied, the influence of discrete fractional operators on the stability of such systems has ...
Katarzyna Topolewicz, Ewa Girejko
doaj +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Long-lived states in synchronized traffic flow. Empirical prompt and dynamical trap model
, 2002 The present paper proposes a novel interpretation of the widely scattered states (called synchronized traffic) stimulated by Kerner's hypotheses about the existence of a multitude of metastable states in the fundamental diagram. Using single vehicle data
A. Klar +45 more
core +1 more source