The Control–Entropy Paradox: Modeling the Thermodynamic Limits of Environmental Governance
ABSTRACT Environmental governance often seeks to reduce disorder, yet the energetic and material costs of control are overlooked. This article presents the Control–Entropy Paradox, developing a formal systems model and a conceptual extension of governance theory.
Sibongiseni B. Hlabisa
wiley +1 more source
Fitting of mechanical material behaviour of structural steel for numerical modelling
Abstract Numerical simulations are widely used in structural engineering research, and validated models enable the efficient expansion of datasets without costly additional testing. They allow the investigation of alternative geometries and loading scenarios beyond those covered by experiments.
Felix Eyben +2 more
wiley +1 more source
Velocity‐based stowage policy for a semiautomated fulfillment system
Abstract Online retail fulfillment is increasingly performed by semiautomated fulfillment systems in which inventory is stored in mobile pods that are moved by robotic drives. In this paper, we develop a model that explores the benefits of velocity‐based stowage policies for semiautomated fulfillment systems, also known as robotic mobile fulfillment ...
Tolga Cezik +2 more
wiley +1 more source
An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson +2 more
wiley +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source
Dusky grouse seasonal resource selection in the Great Basin isolated mountain ranges of Nevada, USA
Dusky grouse Dendragapus obscurus are a montane forest grouse species with a paucity of information regarding their temporal and spatial resource use during critical times of high mortality and reproductive output. This lack of vital data may leave dusky grouse at risk of sub‐optimal management in many areas of their distribution, especially in the ...
Stephanie Landry +4 more
wiley +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
From Distributed Noisy Data to Event‐Triggered Pinning Observer‐Based Control
ABSTRACT This paper presents an event‐triggered pinning observer‐based control of unknown large‐scale interconnected systems under false data injection attacks using distributed noisy data without any system identification step. An exogenous system is used to model the false data injection attack.
Xuan Jia +3 more
wiley +1 more source
Surface Flashover in 50 Years: III. Extreme Environments and Industrial Challenges
ABSTRACT Modern high‐voltage electrical equipment operates in complex environments where surface conditions are subjected to multifaceted influences from electric fields, thermal gradients, contaminants, irradiation and other extreme environmental factors.
Zhen Li +6 more
wiley +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source

