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Research Article
The Pseudo-Second-Order Model in Adsorption Kinetics: Why a Good Fit Does Not Prove a Two-Site Chemisorption Mechanism
The pseudo-second-order (PSO) model, popularized by Ho and McKay's work on divalent metal sorption onto peat, is routinely misinterpreted as proof of a two-site chemisorption mechanism. This article provides a rigorous, multi-faceted refutation of that inference. It demonstrates that a PSO fit offer...
Research Article
A Multi-Scale Traffic-State Gated Attention Network for Bus Arrival Time Prediction
Accurate bus arrival time prediction supports passenger information services and transit dispatching, but irregular sampling and time-varying traffic conditions make the task strongly nonlinear. This paper proposes a Spatial Attention Multi-Scale Traffic-State Gated Long Short-Term Memory (SA-MS-TG-...
Research Article
Design and Verification of a Centralized Multi-Agent Visual SLAM System Based on Cloud Native Architecture
To alleviate the computational and memory pressure faced by resource-constrained edge platforms in large-scale homogeneous multi-agent visual SLAM tasks, this paper designs and validates a centralized homogeneous multi-agent visual SLAM system based on a cloud-native architecture. The system adopts...
Letter
Fixed-Time Stabilization for a Class of Dynamical Systems and Its Application to a Chaotic System
In this letter, the fixed-time stabilization of a class of dynamical systems is investigated. By using a fixed-time stability lemma and feedback control, new algebraic criteria ensuring the fixed-time stabilization of the dynamical systems under consideration are established. The obtained results ar...
Review Article
A Tri-Phasic View of the Microenvironment in Breast Cancer Brain Metastasis
Breast cancer brain metastasis (BCBM) is driven by microenvironmental remodeling across three interconnected phases: the primary tumor microenvironment (TME) licenses dissemination, the pre-metastatic niche (PMN) primes the brain, and the established metastatic niche sustains outgrowth through centr...
Research Article
A Taylor-Series-Based Computational Framework for Simulating Lung Tumor Regression During Radiotherapy: Toward Model-Informed Decision Support in Precision Oncology
Mechanistic tumor-response models that are transparent and updatable with patient data are important for model-informed precision radiotherapy. This study presents a reproducible computational framework integrating an explicit mathematical derivation, numerical solver, clinical protocol-derived para...
Editorial
Editorial: Trustworthy AI Governance, Secure Edge Computing, and Reliable Model Adaptation
This editorial introduces four papers in Volume 2, Issue 3 of the Journal of Reliable and Secure Computing, covering trustworthy AI governance, secure edge computing, federated fine-tuning, and outsourced LoRA adaptation.
Research Article
Non-Invasive Parkinson's Disease Screening from Vocal Biomarkers: A Subject-Level Machine Learning Framework with Bayesian Optimisation and Explainable AI
An estimated ten million people live with Parkinson's, yet timely diagnosis remains constrained by specialist assessment, costly imaging, and unequal care access. Phonation analysis offers a low-cost alternative: dopaminergic degeneration causes vocal impairments years before motor symptoms emerge,...
Research Article
Multi-Dimensional Visual Feature Fusion for UAV Maneuver Recognition in Power Transmission Line Protection
The increasing popularity of civilian unmanned aerial vehicles (UAVs) poses serious safety challenges to low-altitude airspace near power transmission and distribution lines. Existing monitoring technologies rely heavily on expensive radar or radio frequency devices that are susceptible to interfere...
Research Article
Text Localization and Recognition of Chinese Characters in Natural Scenes Based on Improved Faster Region-Based Convolutional Neural Network
To solve the problems faced by Chinese character recognition, such as complex shapes and diverse structures, this paper adopts the Visual Geometry Group 16 (VGG-16) model for feature extraction and introduces a two-layer bidirectional Long Short-Term Memory (LSTM) network. It improves the Faster Reg...