Journal of Urban Planning and Development, Journal Year: 2025, Volume and Issue: 151(2)
Published: March 25, 2025
Language: Английский
Journal of Urban Planning and Development, Journal Year: 2025, Volume and Issue: 151(2)
Published: March 25, 2025
Language: Английский
Journal of Innovation and Entrepreneurship, Journal Year: 2025, Volume and Issue: 14(1)
Published: Jan. 27, 2025
Language: Английский
Citations
0Emerald Publishing Limited eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21
Published: Feb. 12, 2025
Language: Английский
Citations
0Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 346 - 346
Published: Feb. 14, 2025
Facing the severe global wildfire challenge and need for advanced prediction, this study analysed evolving research in forest fire prediction using an LDA-BERT similarity model. Due to climate change, human activities, natural factors, fires threaten ecosystems, society, system. The vast existing literature on makes it challenging identify themes manually. proposed model combines LDA BERT. was used topic mining, determining optimal number of topics by calculating semantic consistency. BERT employed word vector training, probabilities as weights. cosine algorithm normalisation were measure similarity. Through empirical 13,552 publications from 1980–2023 retrieved Web Science database, several key identified, such “wildfire risk management”, “vegetation habitat changes”, “climate change forests”. Research trends show a shift macro-level micro-level studies, with modern technologies becoming focus. Multidimensional scaling revealed hierarchical theme distribution, closely related being dominant. This offers valuable insights scientific community policymakers, facilitating understanding these changes contributing mitigation. However, has limitations like subjectivity theme-representative selection needs further improvement threshold setting performance evaluation. Future can optimise aspects integrate emerging enhance research.
Language: Английский
Citations
0Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1103 - 1103
Published: Feb. 24, 2025
Fiber optics is a cutting-edge technology with boundless potential for transmitting natural light inside buildings. Imaging Solar concentrators are very efficient in focusing within the approximate numerical aperture of fiber optics. The proof-of-concept concentration daylight systems was investigated and elaborated only single-mode step-index fibers, none previous studies had explored full sun spectrum meticulously, overall transmission efficiency, luminous output such system. present research elaborates detailed exclusive investigation multi-mode-indexed systems. proposed design consists subsequent optical stages that focus into optic cable, filter unwanted infrared wavelength radiation, uniformly collimate visible onto ray path power intensities were traced computed using tracing technique. obtained simulation results demonstrated an efficiency 32% along 10 m length. efficacy evaluated based on average illuminance levels buildings, indicating substantial indoor lighting enhancement 92 lumens/watt. validated by building laboratory scale system; tests have shown technical feasibility system effective material integrity practical applications
Language: Английский
Citations
0Journal of Urban Planning and Development, Journal Year: 2025, Volume and Issue: 151(2)
Published: March 25, 2025
Language: Английский
Citations
0