Results 51 to 60 of about 3,477,793 (285)

Evaluating Urban Building Damage of 2023 Kahramanmaras, Turkey Earthquake Sequence Using SAR Change Detection

open access: yesSensors, 2023
On February 6, 2023 (local time), two earthquakes (Mw7.8 and Mw7.7) struck central and southern Turkey, causing extensive damage to several cities and claiming a toll of 40,000 lives.
Xiuhua Wang   +10 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz   +12 more
wiley   +1 more source

Automated Road Damage Recognition based on the Sparse Coding Analysis of Vehicle Vibrations [PDF]

open access: yesMATEC Web of Conferences, 2019
Road pavement damage inspection is a critical yet challenging task. At present, road pavement damage inspection is usually done by DOTs using a manual process.
Du Jing, Li Zishuo, Wang Chao
doaj   +1 more source

A Deep Learning-Based Framework for Damage Detection With Time Series

open access: yesIEEE Access, 2021
Natural hazards have caused damages to buildings and infrastructures and economic losses in many countries. Immediate emergency response requires accurate damage detection.
Qun Yang   +3 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Damage Resistance of an fMRI-Spiking Neural Network Based on Speech Recognition Against Stochastic Attack

open access: yesBiomimetics
Brain-like models are commonly used for pattern recognition, but they face significant performance degradation in neuromorphic hardware when exposed to complex electromagnetic environments.
Lei Guo   +3 more
doaj   +1 more source

Damage Identification for Transmission Tower Structure Using Information Fusion Methods

open access: yesChemical Engineering Transactions, 2013
Structural damage identification can realize pre-warning, identify the location of the damage and improve reliability and safety of the structure. In this paper, at first, the damage identification of a simple steel framework model was presented by the ...
L. Zhang, X. Liu, B. Zhang, J. Wang
doaj   +1 more source

Civil Engineering Structural Damage Identification by Integrating Benchmark Numerical Model and PCNN Network

open access: yesIEEE Access, 2023
Strengthening the real-time and accurate identification of civil structures is of great significance for ensuring the safety and service life of civil engineering projects.
Yu Qiu, Zhifeng Zhang
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data

open access: yesAdvances in Civil Engineering, 2010
Damage pattern recognition research represents one of the most challenging tasks in structural health monitoring (SHM). The vagueness in defining damage and the significant overlap between damage states contribute to the challenges associated with proper
Mahmoud M. Reda Taha
doaj   +1 more source

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