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Computer Modeling in Engineering & Sciences
REVIEW

Gait Planning, and Motion Control Methods for Quadruped Robots: Achieving High Environmental Adaptability: A Review

Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...

Computer Modeling in Engineering & Sciences
REVIEW

Optimization-Based Approaches to Uncertainty Analysis of Structures Using Non-Probabilistic Modeling: A Review

Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...

Computer Modeling in Engineering & Sciences
REVIEW

Smoothed Particle Hydrodynamics (SPH) Simulations of Drop Evaporation: A Comprehensive Overview of Methods and Applications

The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...

Computer Modeling in Engineering & Sciences
REVIEW

On Optimizing Resource Allocation: A Comparative Review of Resource Allocation Strategies in HetNets

Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...

Computer Modeling in Engineering & Sciences
ARTICLE

Medical Diagnosis Based on Multi-Attribute Group Decision-Making Using Extension Fuzzy Sets, Aggregation Operators and Basic Uncertainty Information Granule

Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...

Computer Modeling in Engineering & Sciences
ARTICLE

Multi-Step Clustering of Smart Meters Time Series: Application to Demand Flexibility Characterization of SME Customers

Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...

Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

Computer Modeling in Engineering & Sciences
REVIEW

Gait Planning, and Motion Control Methods for Quadruped Robots: Achieving High Environmental Adaptability: A Review

Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...

Computer Modeling in Engineering & Sciences
REVIEW

Optimization-Based Approaches to Uncertainty Analysis of Structures Using Non-Probabilistic Modeling: A Review

Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...

Computer Modeling in Engineering & Sciences
REVIEW

Smoothed Particle Hydrodynamics (SPH) Simulations of Drop Evaporation: A Comprehensive Overview of Methods and Applications

The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...

Computer Modeling in Engineering & Sciences
REVIEW

On Optimizing Resource Allocation: A Comparative Review of Resource Allocation Strategies in HetNets

Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...

Computer Modeling in Engineering & Sciences
ARTICLE

Medical Diagnosis Based on Multi-Attribute Group Decision-Making Using Extension Fuzzy Sets, Aggregation Operators and Basic Uncertainty Information Granule

Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...

Computer Modeling in Engineering & Sciences
ARTICLE

Multi-Step Clustering of Smart Meters Time Series: Application to Demand Flexibility Characterization of SME Customers

Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...

Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

The unsuspected nonpalpable testicular mass detected by ultrasound: a management problem – Page 1764

This article has no abstract.

Computers, Materials & Continua
Article

Dual-Perspective Evaluation of Knowledge Graphs for Graph-to-Text Generation

Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs (KGs) remains challenging. Prior research exhibits a narrow focus on structural statistics, such as the shortest path length, while the correctness of graphs in representing the associated text is rarely explored. To address this gap, we introduce a dual-perspective evaluation framework for KG-text data, based on the computation of structural adequacy and semantic alignment. From a…

Computers, Materials & Continua
Article

Schweizer-Sklar T-Norm Operators for Picture Fuzzy Hypersoft Sets: Advancing Suistainable Technology in Social Healthy Environments

Ensuring a sustainable and eco-friendly environment is essential for promoting a healthy and balanced social life. However, decision-making in such contexts often involves handling vague, imprecise, and uncertain information. To address this challenge, this study presents a novel multi-criteria decision-making (MCDM) approach based on picture fuzzy hypersoft sets (PFHSS), integrating the flexibility of Schweizer-Sklar triangular norm-based aggregation operators. The proposed aggregation mechanisms—weighted average and weighted geometric operators—are formulated using newly defined operational laws under the…

Computers, Materials & Continua
Article

Deep Learning-Based Glass Detection for Smart Glass Manufacturing Processes

This study proposes an advanced vision-based technology for detecting glass products and identifying defects in a smart glass factory production environment. Leveraging artificial intelligence (AI) and computer vision, the research aims to automate glass detection processes and maximize production efficiency. The primary focus is on developing a precise glass detection and quality management system tailored to smart manufacturing environments. The proposed system utilizes the various YOLO (You Only Look Once) models for glass detection, comparing…

Computers, Materials & Continua
Article

Hybrid Framework for Structural Analysis: Integrating Topology Optimization, Adjacent Element Temperature-Driven Pre-Stress, and Greedy Algorithms

This study presents a novel hybrid topology optimization and mold design framework that integrates process fitting, runner system optimization, and structural analysis to significantly enhance the performance of injection-molded parts. At its core, the framework employs a greedy algorithm that generates runner systems based on adjacency and shortest path principles, leading to improvements in both mechanical strength and material efficiency. The design optimization is validated through a series of rigorous experimental tests, including three-point bending…

Computers, Materials & Continua
Review

A Systematic Review of Deep Learning-Based Object Detection in Agriculture: Methods, Challenges, and Future Directions

Deep learning-based object detection has revolutionized various fields, including agriculture. This paper presents a systematic review based on the PRISMA 2020 approach for object detection techniques in agriculture by exploring the evolution of different methods and applications over the past three years, highlighting the shift from conventional computer vision to deep learning-based methodologies owing to their enhanced efficacy in real time. The review emphasizes the integration of advanced models, such as You Only Look Once…

Computers, Materials & Continua
Article

Harnessing Machine Learning for Superior Prediction of Uniaxial Compressive Strength in Reinforced Soilcrete

Soilcrete is a composite material of soil and cement that is highly valued in the construction industry. Accurate measurement of its mechanical properties is essential, but laboratory testing methods are expensive, time-consuming, and include inaccuracies. Machine learning (ML) algorithms provide a more efficient alternative for this purpose, so after assessment with a statistical extraction method, ML algorithms including back-propagation neural network (BPNN), K-nearest neighbor (KNN), radial basis function (RBF), feed-forward neural networks (FFNN), and support…

Computers, Materials & Continua
Article

Optimizing Feature Selection by Enhancing Particle Swarm Optimization with Orthogonal Initialization and Crossover Operator

Recent advancements in computational and database technologies have led to the exponential growth of large-scale medical datasets, significantly increasing data complexity and dimensionality in medical diagnostics. Efficient feature selection methods are critical for improving diagnostic accuracy, reducing computational costs, and enhancing the interpretability of predictive models. Particle Swarm Optimization (PSO), a widely used metaheuristic inspired by swarm intelligence, has shown considerable promise in feature selection tasks. However, conventional PSO often suffers from premature convergence and…

Computers, Materials & Continua
Article

Microscopic Modeling and Failure Mechanism Study of Fiber Reinforced Composites Embedded with Optical Fibers

Embedding optical fiber sensors into composite materials offers the advantage of real-time structural monitoring. However, there is an order-of-magnitude difference in diameter between optical fibers and reinforcing fibers, and the detailed mechanism of how embedded optical fibers affect the micromechanical behavior and damage failure processes within composite materials remains unclear. This paper presents a micromechanical simulation analysis of composite materials embedded with optical fibers. By constructing representative volume elements (RVEs) with randomly distributed reinforcing fibers,…

Computers, Materials & Continua
Article

AI-Driven Sentiment-Enhanced Secure IoT Communication Model Using Resilience Behavior Analysis

Wireless technologies and the Internet of Things (IoT) are being extensively utilized for advanced development in traditional communication systems. This evolution lowers the cost of the extensive use of sensors, changing the way devices interact and communicate in dynamic and uncertain situations. Such a constantly evolving environment presents enormous challenges to preserving a secure and lightweight IoT system. Therefore, it leads to the design of effective and trusted routing to support sustainable smart cities. This…

Computers, Materials & Continua
Article

Federated Learning and Blockchain Framework for Scalable and Secure IoT Access Control

The increasing deployment of Internet of Things (IoT) devices has introduced significant security challenges, including identity spoofing, unauthorized access, and data integrity breaches. Traditional security mechanisms rely on centralized frameworks that suffer from single points of failure, scalability issues, and inefficiencies in real-time security enforcement. To address these limitations, this study proposes the Blockchain-Enhanced Trust and Access Control for IoT Security (BETAC-IoT) model, which integrates blockchain technology, smart contracts, federated learning, and Merkle tree-based integrity…

Computers, Materials & Continua
Article

A Machine Learning-Based Framework for Heart Disease Diagnosis Using a Comprehensive Patient Cohort

Early and accurate detection of Heart Disease (HD) is critical for improving patient outcomes, as HD remains a leading cause of mortality worldwide. Timely and precise prediction can aid in preventive interventions, reducing fatal risks associated with misdiagnosis. Machine learning (ML) models have gained significant attention in healthcare for their ability to assist professionals in diagnosing diseases with high accuracy. This study utilizes 918 instances from publicly available UCI and Kaggle datasets to develop and…

Computers, Materials & Continua
Article

Relative-Density-Viewpoint-Based Weighted Kernel Fuzzy Clustering

Applying domain knowledge in fuzzy clustering algorithms continuously promotes the development of clustering technology. The combination of domain knowledge and fuzzy clustering algorithms has some problems, such as initialization sensitivity and information granule weight optimization. Therefore, we propose a weighted kernel fuzzy clustering algorithm based on a relative density view (RDVWKFC). Compared with the traditional density-based methods, RDVWKFC can capture the intrinsic structure of the data more accurately, thus improving the initial quality of the…

Computers, Materials & Continua
Article

Void Formation Analysis in the Molded Underfill Process for Flip-Chip Packaging

Flip-chip technology is widely used in integrated circuit (IC) packaging. Molded underfill transfer molding is the most common process for these products, as the chip and solder bumps must be protected by the encapsulating material to ensure good reliability. Flow-front merging usually occurs during the molding process, and air is then trapped under the chip, which can form voids in the molded product. The void under the chip may cause stability and reliability problems. However,…

Computers, Materials & Continua
Article

YOLO-LE: A Lightweight and Efficient UAV Aerial Image Target Detection Model

Unmanned aerial vehicle (UAV) imagery poses significant challenges for object detection due to extreme scale variations, high-density small targets (68% in VisDrone dataset), and complex backgrounds. While YOLO-series models achieve speed-accuracy trade-offs via fixed convolution kernels and manual feature fusion, their rigid architectures struggle with multi-scale adaptability, as exemplified by YOLOv8n’s 36.4% mAP and 13.9% small-object AP on VisDrone2019. This paper presents YOLO-LE, a lightweight framework addressing these limitations through three novel designs: (1) We…

Computers, Materials & Continua
Article

Multi-Firmware Comparison Based on Evolutionary Algorithm and Trusted Base Point

Multi-firmware comparison techniques can improve efficiency when auditing firmwares in bulk. However, the problem of matching functions between multiple firmwares has not been studied before. This paper proposes a multi-firmware comparison method based on evolutionary algorithms and trusted base points. We first model the multi-firmware comparison as a multi-sequence matching problem. Then, we propose an adaptation function and a population generation method based on trusted base points. Finally, we apply an evolutionary algorithm to find…

Call for papers

Special Issue

Computer Modeling in Engineering & Sciences

Advanced Computational Intelligence Techniques,...

Guest Editors: A. Dounis; I. Kalatzis Deadline: 28 February 2026

Special Issue

Computers, Materials & Continua

Advancements in Pattern Recognition through...

Guest Editors: Chih-Lung Lin Deadline: 31 December 2025

Special Issue

Frontiers in Heat and Mass Transfer

Advances in Computational Thermo-Fluids...

Guest Editors: Fateh Mebarek-Oudina; Ioannis E. Sarris Deadline: 31 December 2025

Special Issue

Computers, Materials & Continua

Integrating Computing Technology of Cloud-Fog-Edge...

Guest Editors: Hwa-Young Jeong; Jason C. Hung; Yen Neil Yuwen Deadline: 30 November 2025

Special Issue

Computers, Materials & Continua

Advanced Computational Modeling and Simulations...

Guest Editors: S. M. Anas; Rayeh Nasr Al-Dala'ien Deadline: 30 November 2025

Special Issue

Computers, Materials & Continua

Fuzzy Logic: Next-Generation Algorithms...

Guest Editors: Sukhjit Singh Sehra Deadline: 15 November 2025

Special Issue

Computers, Materials & Continua

Artificial Intelligence Methods and Techniques...

Guest Editors: José Braga de Vasconcelos; Hugo Barbosa Deadline: 10 November 2025

Special Issue

Computer Modeling in Engineering & Sciences

Computer Modeling of Fluid Seepage in Porous...

Guest Editors: Boyun Guo; Yin Feng Deadline: 01 November 2025

Special Issue

Computer Modeling in Engineering & Sciences

Selected Papers from the 26th International...

Guest Editors: Marcin Kamiński; Wojciech Sumelka Deadline: 01 October 2025

Special Issue

Computer Modeling in Engineering & Sciences

Multiscale, Multifield, and Continuum-Discontinuum...

Guest Editors: Haitao Yu; Eva Binder; Qiushi Chen; Hui Wang; Xizhuo Chen Deadline: 01 October 2025

Special Issue

Computer Modeling in Engineering & Sciences

Recent Advances in Design and Manufacturing...

Guest Editors: Leong Hien Poh; Jie Zhi; Qixun Li; Yifeng Zhong Deadline: 30 September 2025

Special Issue

Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and Machine...

Guest Editors: Wei-Chiang Hong; Yi Liang Deadline: 30 September 2025

Special Issue

Computer Modeling in Engineering & Sciences

The Evolution of Cybersecurity and AI:...

Guest Editors: Ilsun You; Gaurav Choudhary; Philip Virgil Astillo Deadline: 01 September 2025

Special Issue

Computers, Materials & Continua

Advancing Feature Engineering for Knowledge...

Guest Editors: Man-Fai Leung; Athanasios V. Vasilakos Deadline: 01 September 2025

Special Issue

Computer Modeling in Engineering & Sciences

Advanced Computational Methods for the...

Guest Editors: Viktor Gribniak; Zdeněk Kala; Constantin E. Chalioris Deadline: 31 August 2025

Special Issue

Computers, Materials & Continua

Multiscale and Multiphysics Computational...

Guest Editors: Zhiqiang Yang; Zifeng Yuan; Yuhang Jing; Xia Tian Deadline: 31 August 2025

Computer Modeling in Engineering & Sciences

Digital Engineering and Digital Twin

Revue Internationale de Géomatique

Frontiers in Heat and Mass Transfer

Journal of Polymer Materials

Canadian Journal of Urology

Journal of Psychology in Africa

Computers, Materials & Continua

Fluid Dynamics & Materials Processing

Structural Durability & Health Monitoring

Intelligent Automation & Soft Computing

Computer Systems Science and Engineering

BIOCELL

Phyton-International Journal of Experimental Botany

Energy Engineering

International Journal of Mental Health Promotion

Congenital Heart Disease

Journal of Renewable Materials

Oncology Research

Journal of Quantum Computing

Journal of New Media

Journal on Internet of Things

Journal of Information Hiding and Privacy Protection

Journal of Cyber Security

Journal on Artificial Intelligence

Journal on Big Data

Journal of Intelligent Medicine and Healthcare

Journal of Blockchain and Intelligent Computing

The International Conference on Computational & Experimental Engineering and Sciences

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