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Commentary
Comments on CSAP-IoD: A Chaotic Map-Based Secure Authentication Protocol for Internet of Drones
Recently, Zahednejad and Gao (2025 Journal of Information Security and Applications, Elsevier, https://doi.org/10.1016/j.jisa.2025.104083,) identified key compromise impersonation (KCI) in both, a two-factor, and a three-factor authentication protocols for IoT devices. They further proposed a lightw...
Research Article
A Machine Learning Framework for Artificial Lift Method Selection with Physics-Informed Data Balancing
The selection of optimal artificial lift methods using machine learning remains challenging due to complex interactions among reservoir characteristics, fluid properties, and operational constraints. Conventional approaches rely on engineering expertise and static screening criteria, often insuffici...
Research Article
A Multidimensional Mathematical Analysis of Dante’s Divina Commedia
Dante Alighieri’s Divina Commedia is the preeminent work of the Italian literature and one of the greatest of the world literature. The poem allegorically represents the soul’s journey toward God passing through Inferno, Purgatorio and Paradiso. At each stage of the journey, Dante adapts his languag...
Review Article
Application Patterns and Challenges of Smart Agriculture Technologies Across the Mango Value Chain
As a pivotal tropical fruit crop in China, the mango (Mangifera indica L.) industry plays a strategic role in advancing agricultural modernization and augmenting rural incomes. However, the traditional mango value chain faces bottlenecks such as resource inefficiency, information asymmetry, and weak...
Review Article
A Comprehensive Survey on Robustness and Privacy in Federated Learning Meets Large Language Model at Edge
Large Language Models (LLMs) have revolutionized natural language processing, yet their deployment is hindered by data, computation, and privacy constraints. Federated Learning (FL) offers a promising solution by enabling collaborative, privacy-preserving training across distributed devices, while t...
Research Article
Scalable Trust through Strategic Verification: A Game-Theoretic Framework for Multi-Agent Systems
These days, many eco-systems related to federated learning, blockchain, self-driving cars, and scientific computing have many agents working together, each doing its own part. Using a single central system to check if all the agents are doing their work correctly is slow and gets more expensive as m...
Research Article
Multiphysics CFD and Electrochemical Assessment of Silicon Carbide (SiC) Heat Exchangers for Corrosive Waste-heat Recovery in Process Industries
Corrosive waste-heat recovery systems suffer material degradation, performance loss and high maintenance when conventional metallic heat exchangers face chloride-, carbonate- and sulfur-bearing condensates. This study presents a multiphysics CFD-electrochemical assessment of silicon carbide (SiC) fo...
Research Article
Safety-Oriented Multi-Parameter Monitoring and Response Time Assessment of Battery Energy Storage Systems
The rapid integration of battery energy storage systems (BESS) into modern power grids necessitates robust safety architectures to prevent catastrophic failures such as thermal runaway. Current diagnostic frameworks are often reliant on isolated, single-parameter thresholds and lack direct linkage t...
Research Article
Sedimentary Evolution and Controlling Mechanisms of Fluvial–lacustrine Systems in the Triassic Halahatang Formation, Tahe Oilfield, Tarim Basin, China
The Triassic Halahatang Formation in the Tahe Oilfield, Tarim Basin, records a complex transition from fluvial to lacustrine depositional systems, yet its depositional architecture, evolutionary process, and controlling mechanisms remain insufficiently constrained. In this study, core observations,...
Perspective
Beyond Periodic Flapping: Adaptive Unsteady Aerodynamics in Bio-inspired Flying Robots
Flapping-wing flight has long inspired bio-inspired aerial robots because of its extraordinary aerodynamic efficiency and maneuverability. Although substantial progress has been achieved in understanding unsteady aerodynamic mechanisms, most existing frameworks remain centered on idealized periodic...