Results 31 to 40 of about 1,863,965 (289)
Meta-analysis of avian and small-mammal response to fire severity and fire surrogate treatments in U.S. fire-prone forests [PDF]
, 2012 Management in fire-prone ecosystems relies widely upon application of prescribed fire and/or fire surrogate (e.g., forest thinning) treatments to maintain biodiversity and ecosystem function.
Joseph B. Fontaine +3 more
core +1 more source
Remote SensingWhile geostationary satellites can provide continuous near-real-time observations, their low spatial resolution makes it difficult to detect small wildfires.
Seungmin Yoo, Chungeun Kwon, Sungeun Cha
doaj +1 more source
Fire–weather relationship in the Italian peninsula [PDF]
, 2012 Climate and weather are two of the main key factors influencing fire regime and they have a number of different effects on fire. The objective of this work is to improve our knowledge of the relationship between meteorological variables and forest fire ...
Sirca, Costantino +3 more
core +1 more source
Understanding human-fire interactions in tropical forest regions : a case for interdisciplinary research across the natural and social sciences [PDF]
, 2011 Fire in the forested tropics has profound environmental, economic, and social impacts at multiple geographical scales. Causes of tropical fires are widely documented, although research contributions are from many disciplines, and each tends to focus on ...
Carmenta, Rachel +4 more
core +5 more sources
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
An Experimental Study of Intermittent Heating Frequencies From Wind-Driven Flames
Frontiers in Mechanical Engineering, 2019 An experimental study was conducted to understand the intermittent heating behavior downstream of a gaseous line burner under forced flow conditions. While previous studies have addressed time-averaged properties, here measurements of the flame location ...
Wei Tang +3 more
doaj +1 more source
“Smelltronics”—From Gas to Smell Sensing
Advanced Materials, EarlyView.The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Advanced Materials, EarlyView.Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma +15 more
wiley +1 more source
Evaluation of the Spatial Distribution of Predictors of Fire Regimes in China from 2003 to 2016
Remote Sensing, 2023 Wildfire has extensive and profound impacts on forest structure and function. Therefore, it is important to study the spatial and temporal patterns of forest fire regimes and their drivers in order to better understand the feedbacks between climate ...
Jiajia Su +7 more
doaj +1 more source