Results 71 to 80 of about 5,189,325 (247)

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

open access: yesAdvanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu   +7 more
wiley   +1 more source

Fusing Visual Quantified Features for Heterogeneous Traffic Flow Prediction [PDF]

open access: yes
This paper presents a novel traffic flow prediction method emphasising heterogeneous vehicle characteristics and visual density features. Traditional models often overlook the variety of vehicles, resulting in inaccuracies.
CHEN, Jing   +9 more
core   +1 more source

Prediction of pressure drop in multiphase horizontal pipe flow [PDF]

open access: yes, 2006
Empirical correlations were tested against reliable two phase pipe flow data for the prediction of pressure drop. Correlations are recommended for the prediction with stratified and annular type flows.
Spedding, P. L.   +2 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Driven traffic flow prediction in smart cities using hunter-prey optimization with hybrid deep learning models

open access: yesAlexandria Engineering Journal
Accurate and timely flow prediction is the most significant element for intelligent traffic management systems. However, developing a robust and potential prediction method is a challenge because of the nonlinear characteristics and inherent randomness ...
Arwa Alzughaibi   +2 more
doaj   +1 more source

Nuclear Pore Mechanotransduction in Oncology: A Structural Axis of Vulnerability for Targeted Intervention

open access: yesAdvanced Materials, EarlyView.
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello   +5 more
wiley   +1 more source

Evaluation of Impacts of Adaptive Cruise Control on Mixed Traffic Flow [PDF]

open access: yes
This paper addresses the impacts of Adaptive (Intelligent) Cruise Control (ACC) laws on traffic flow. Semi-automated vehicles, such as ACC Vehicles, with the capability to automatically follow each other in the same lane, will coexist with manually ...
Xi Zou, David Levinson
core  

Membrane‐Bound Multimodal Plasmonic Transducers for Noninvasive, In Situ Monitoring and Control of CAR T Cells Against Heterogeneous Solid Tumors

open access: yesAdvanced Materials, EarlyView.
Membrane‐bound multimodal transducers enable longitudinal ultrasound‐guided photoacoustic monitoring and in situ thermal control of CAR T cells in heterogeneous solid tumors. Imaging correlates T cell trafficking with tumor response, distinguishing responders from nonresponders.
Myeongsoo Kim   +14 more
wiley   +1 more source

Research on prediction method of expressway section traffic flow considering anomaly detection probability

open access: yesIET Intelligent Transport Systems
Real‐time and accurate short‐term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent.
Zhiyu Wang   +4 more
doaj   +1 more source

IWOA-RNN: An improved whale optimization algorithm with recurrent neural networks for traffic flow prediction

open access: yesAlexandria Engineering Journal
In order to improve the accuracy of traffic flow prediction and support the dynamic control of road management departments, this paper aims to minimize real-time traffic flow prediction errors.
Zhiyou Liu   +3 more
doaj   +1 more source

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