Results 91 to 100 of about 8,928,935 (332)

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

open access: yes, 2019
Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and labor-intensive.
Bocus, Mohammud Junaid   +7 more
core   +1 more source

Identifying Strong Connectivity in Urban Road Networks Considering Traffic Constraints: An Analysis of Road Networks With Different Patterns

open access: yesJournal of Advanced Transportation
Road network connectivity is an important indicator for measuring the operational efficiency and reliability of urban road networks, and it plays an important role in supporting traffic planning and management decisions.
Ruru Xing   +5 more
doaj   +1 more source

Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency

open access: yesISPRS International Journal of Geo-Information
Vector road networks are vital components of intelligent transportation systems and electronic navigation maps. There is a pressing need for efficient and rapid dynamic updates for road network data. In this paper, we propose a series of methods designed
Xiaodong Wang   +4 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Discrimination and Prediction of Traffic Congestion States of Urban Road Network Based on Spatio-Temporal Correlation

open access: yesIEEE Access, 2020
By analyzing and predicting the traffic states of urban road network, the formation of traffic congestion can be effectively alleviated, so as to improve the traffic capacity of urban road network.
Zhi Chen, Yuan Jiang, Dehui Sun
doaj   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

open access: yesMolecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis   +3 more
wiley   +1 more source

Distributed Short-Term Traffic Flow Prediction Based on Integrating Federated Learning and TCN

open access: yesIEEE Access
Existing short-term traffic flow prediction methods are based on centralized learning frameworks, which do not consider the diversity of data, leading to limited predictive performance. Additionally, these methods face challenges related to computational
Tongbin Liu   +4 more
doaj   +1 more source

Measuring the Benefits Gained by Industry from Road Network Improvements [PDF]

open access: yes, 1993
Over the last twenty years, physical distribution has gone through a revolution (McKinnon 1989). Changes in industrial structure, the power structure within the supply chain, service quality standards, marketing and production methods, heavy goods ...
Mackie, P.J., Tweddle, G.
core  

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

open access: yesFEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu   +10 more
wiley   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

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