Results 81 to 90 of about 8,961 (241)

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source

Tracking Modal Parameters of Structures Online Using Recursive Stochastic Subspace Identification under Ambient Excitations

Buildings
Continuous and autonomous system identification is an alternative to regular inspection during operations, which is essential for structural integrity management (SIM) as well as structural health monitoring (SHM).
Shieh-Kung Huang, Jin-Quan Chen, Yuan-Tao Weng, Jae-Do Kang   +3 more
doaj   +1 more source

Thalamic connectivity mirrors spatial maps of network dysfunction in nonlesional focal epilepsy

Epilepsia, EarlyView.
Abstract Objective Focal epilepsy is increasingly conceptualized as a network disorder, yet the extent to which network dysfunction reflects a shared phenotype remains unknown. Spatially conserved patterns of network dysfunction may implicate a centralized mechanism underlying widespread impairment.
Joline M. Fan, Ehsan Tadayon, Kiwamu Kudo, Kamalini G. Ranasinghe, Anne M. Findlay, Robert C. Knowlton, Vikram R. Rao, Srikantan S. Nagarajan   +7 more
wiley   +1 more source

SSI improved algorithm based on zero phase filtering technology for structural parameter identification in civil engineering [PDF]

Archives of Civil Engineering
Early damage detection and reinforcement of civil engineering structures are crucial. To ensure timely maintenance in the later stage, the civil structure is subjected to modal parameter identification.
Kai Yang, Zhenwu Wang
doaj   +1 more source

Characterizing electroencephalogram dynamics during sedation withdrawal: Insights into cortical recovery following status epilepticus

Epilepsia Open, EarlyView.
Abstract Objective Characterize electroencephalogram (EEG) dynamics during propofol withdrawal in patients with generalized convulsive status epilepticus (GCSE) and explore their association with functional outcomes. Methods We conducted a retrospective cohort study of adult patients with GCSE who received continuous EEG monitoring and propofol ...
Mathieu Dhoisne, Philippe Derambure, Arnaud Delval, Saad Nseir, Nacim Betrouni, Romain Tortuyaux   +5 more
wiley   +1 more source

Modal–Physical Hybrid System Identification of High-rise Building via Subspace and Inverse-Mode Methods

Frontiers in Built Environment, 2017
A system identification (SI) problem of high-rise buildings is investigated under restricted data environments. The shear and bending stiffnesses of a shear-bending model (SB model) representing the high-rise buildings are identified via the smart ...
Kohei Fujita, Yuhei Fujimori, Izuru Takewaki   +2 more
doaj   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

Limnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak, Garrett Staines, Blerim Abdullai   +2 more
wiley   +1 more source

Modal Parameter Identification of the Improved Random Decrement Technique-Stochastic Subspace Identification Method Under Non-Stationary Excitation

Applied Sciences
Commonly used methods for identifying modal parameters under environmental excitations assume that the unknown environmental input is a stationary white noise sequence.
Jinzhi Wu, Jie Hu, Ming Ma, Chengfei Zhang, Zenan Ma, Chunjuan Zhou, Guojun Sun   +6 more
doaj   +1 more source