Results 131 to 140 of about 34,460 (284)
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A VMD-LMS filtering approach for DAS noise suppression
Fiber-optic distributed acoustic sensing (DAS) has rapidly emerged as a groundbreaking technology, offering extensive coverage and exceptional sensitivity.
Juxiang Qiu +4 more
core +1 more source
Urbanization and food transition in the Brazilian Amazon: From wild to domesticated meat
Abstract Urbanization is expected to influence food transitions, resulting in a shift from wild foods to more domesticated foods. Concomitantly, food insecurity and urban demand for natural resources, including wildlife, are expected to increase overall, even when the per capita consumption is expected to decrease.
Willandia A. Chaves +7 more
wiley +1 more source
Fault Diagnosis Method of Bearings Based on SCSSA-VMD-MCKD
To tackle the issue of detecting early, subtle faults in rolling bearings in the presence of noise interference, the SCSSA-VMD-MCKD method is suggested.
Xiancong Wu +3 more
core +1 more source
Molecular Interactions of Viral Insulin/IGF‐Like Peptides With Zebrafish Receptors
ABSTRACT Signaling through the insulin receptor (IR) and the type 1 insulin‐like growth factor receptor (IGF1R) is modulated by secreted hormones and growth factor ligands (e.g., insulin and insulin‐like growth factor 1, IGF1). Impaired signaling in these receptors often leads to diabetes and oncogenic diseases.
Lev Levintov, Harish Vashisth
wiley +1 more source
In this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU)
Aastha M. Sathe +2 more
doaj +1 more source
The interactions of self‐assembled nanocarriers with cell membranes are programmable through amphiphile design. We identify how head and tail chemistry govern distinct interaction mechanisms and introduce ΔGtransfer, a unified thermodynamic descriptor that predicts nanoparticle behaviour from simple molecular simulations.
Mahsa Nami +13 more
wiley +1 more source
PREDIKSI HARGA PANGAN HORTIKULTURA MENGGUNAKAN VMD-LSTM DAN OPTIMASI PSO [PDF]
Penelitian ini mengembangkan model prediksi harga komoditas hortikultura bawang merah, bawang putih, cabai merah, dan cabai rawit dengan mengintegrasikan metode Variational Mode Decomposition (VMD), Long ShortTerm Memory (LSTM), dan Particle Swarm ...
Tanjung, Mutiq Anisa
core
Mg2+ confined within poly(heptazine imide) acts as a heterogenized interfacial charge bridge capable to couple synergistically the semiconductor with Pt co‐catalysts, thus enhancing hydrogen evolution. Through water polarization and hydroxide stabilization, a dynamic Mg2+‐OHδ−‐Hδ+‐Pt motif facilitates proton transfer and overcomes interfacial electron ...
Gabriel A. A. Diab +17 more
wiley +1 more source
Stoichiometric Binding of Cyclophilin‐A to The HIV‐1 Capsid Modulates Its Mechanoelastic Properties
The HIV‐1 capsid is a protein nanocapsule that must balance rigidity and flexibility to enter the cell nucleus. Atomic force microscopy simulations reveal that binding of the host protein Cyclophilin A tunes this mechanical response: partial coverage preserves deformability, while excessive binding induces brittleness and failure.
Juan S. Rey +2 more
wiley +1 more source

