DEVELOPMENT OF DIE DRAWING DESIGN FACTOR PREDICTION MODELS FOR TRENCHLESS REHABILITATION OF WATER PIPES: A CASE STUDY

Development of die drawing design factor prediction models for trenchless rehabilitation of water pipes: a case study

Maintenance and replacement of aging water pipes are critical for urban development.To this end, trenchless rehabilitation methods that do not require excavation offer an efficient replacement for aging water pipes.Thus, this study developed a trenchless method using die drawing, which continuously inserts polyethylene (PE) liners into the reach po

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Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study

Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications.Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics.This study aims to explore the potential correlation betw

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Driving Interconnected Networks to Supercriticality

Networks in the real world do not exist as isolated entities, but they are grahams c+ eczema & dermatitis cream often part of more complicated structures composed of many interconnected network layers.Recent studies have shown that such mutual dependence makes real networked systems potentially exposed to atypical structural and dynamical behaviors

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Physically Explainable Intelligent Perception and Application of SAR Target Characteristics Based on Time-frequency Analysis

The current state of intelligent target recognition approaches for Synthetic Aperture Radar (SAR) continues to experience challenges owing to their limited robustness, generalizability, and interpretability.Currently, research focuses on comprehending the microwave properties of SAR targets and integrating them with advanced deep learning algorithm

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