MACHINE LEARNING-BASED MEASUREMENT AND PREDICTION OF GROUND SETTLEMENT INDUCED BY SHIELD TUNNELING UNDERCROSSING EXISTING TUNNELS IN COMPOSITE STRATA

To address the issue of insufficient accuracy in traditional settlement prediction methods for shield tunneling undercrossing in composite strata in Hangzhou, this paper proposes a Windows particle swarm optimization (PSO)-based Bidirectional Long Short-Term Memory neural network (Bi-LSTM) prediction model for high-precision dynamic prediction of g

Purpose: Cognitive Adaptation Training (CAT) is a psychosocial intervention with demonstrated effectiveness.However, no validated fidelity instrument is available.In this study, a CAT Fidelity Scale was developed and its psychometric properties, including interrater reliability and internal consistency, were evaluated.Methods: The fidelity scale wa

With the enactment of Jatiluwih region as a World Cultural Heritage, is expected to increase public awareness to preserve the environment.This research aims to determine the distribution of archaeological remains around the hot springs, knowing the process and the impact of emerging and its effect on the local community.Observation, open interviews

The value of surface electromyograms (EMGs) lies in their potential to non-invasively probe the neuromuscular system.Whether muscle excitation may be accurately inferred from bipolar EMGs depends on how CYSTOFORCE much the detected signal is both sensitive and specific to the excitation of the target muscle.While both are known to be a function of

Abstract This research investigates how the avoidance of initial gemination in Maltese is motivated by conformity to the Obligatory Contour Principle (OCP) and the Strict Layer Hypothesis (SLH) in light of Optimality Theory (OT) as a framework.The data of this study were collected and analyzed qualitatively.The data in this study were harvested fro