Results 121 to 130 of about 2,420,038 (307)

Effective Benchmarks for Optical Turbulence Modeling

open access: yesArtificial Intelligence for the Earth Systems
Abstract Optical turbulence poses a significant challenge for communication, directed energy, and imaging systems, particularly in the atmospheric boundary layer. Effective modeling of optical turbulence is crucial for the development and deployment of these systems, yet the lack of standardized evaluation tools and benchmark datasets
Christopher Jellen   +3 more
openaire   +2 more sources

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

Effect of oceanic turbulence on the statistical features of electromagnetic optical beam

open access: yesResults in Physics
This work deals with the intricate problem of electromagnetic optical beam propagation through oceanic turbulence. Using the extended Huygens–Fresnel principle, numerically, the behavior of the degree of cross-polarization (DOCP), electromagnetic degree ...
Hemant Kumar Singh   +2 more
doaj   +1 more source

Subcarrier intensity modulated free-space optical communication systems [PDF]

open access: yes
This thesis investigates and analyses the performance of terrestrial free-space optical communication (FSO) system based on the phase shift keying pre-modulated subcarrier intensity modulation (SIM).
Popoola, Wasiu Oyewole
core  

Fueling Tomorrow: Scenario Planning for the Future of Gas Stations

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa   +2 more
wiley   +1 more source

Too Complex to Control? How Firms Navigate Scope 3 Governance Under Institutional Uncertainty

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As Scope 3 emissions make up the largest share of many firms' carbon footprints, firms face growing pressure to manage emissions beyond their direct control. Ongoing revisions of the CSRD, the GHG Protocol, and the SBTi Net‐Zero Standard further increase regulatory and methodological uncertainty.
Victoria Fohrer   +2 more
wiley   +1 more source

Atmospheric Turbulence Phase Reconstruction via Deep Learning Wavefront Sensing

open access: yesSensors
The fast and accurate reconstruction of the turbulence phase is crucial for compensating atmospheric disturbances in free-space coherent optical communication. Traditional methods suffer from slow convergence and inadequate phase reconstruction accuracy.
Yutao Liu, Mingwei Zheng, Xingqi Wang
doaj   +1 more source

The Moral Manager in the Market: How CFOs' Ethical Intelligence Drives ESG Investment in Emerging Economies' Dual Markets

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT What propels a CFO in an emerging economy to champion ESG investments when formal regulations are weak? Moving beyond structural explanations, we provide a behavioural account arguing that a manager's internal ethical compass—moral intelligence (MI)—is a key driver.
AmirHossein ArminKia   +4 more
wiley   +1 more source

Impact of Beacon Feedback on Stabilizing RL-Based Power Optimization in SLM-Controlled FSO Uplinks Under Turbulence

open access: yesPhotonics
Atmospheric turbulence severely limits the stability and reliability of free-space optical (FSO) uplinks by inducing wavefront distortions and random intensity fluctuations. This study investigates the use of reinforcement learning (RL) with beacon-based
Erfan Seifi, Peter LoPresti
doaj   +1 more source

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