Results 141 to 150 of about 41,076 (262)
Risk maps for urban fire with geospatial model-based framework. [PDF]
Wu K +8 more
europepmc +1 more source
Sudan at War With Itself: Civilian Devastation in the Civil War
ABSTRACT A civil war is raging in Sudan between the Sudan Armed Forces (SAF) and the Rapid Support Forces (RSF) along with militia groups. Beginning on April 15, 2023, and continuing at least to this writing (October 15, 2025), civilian noncombatants have been subjected to bombings, beatings, torture, shootings, rape, and murder on a large scale. Since
Daniel Rothbart +3 more
wiley +1 more source
Effect of Time-Since-Fire on Ant Communities in a Semi-Arid Landscape. [PDF]
Fernando NL +3 more
europepmc +1 more source
FIRE OCCURRENCE IN ILMENSK FOREST RESERVE PINERY AND AFTER-FIRE EFFECTS IN THEM
A. Dubinin, S.V. Zalesov
openaire +1 more source
ABSTRACT The extant carbon neutrality (CN) literature largely offers macro‐ or meso‐level analyses, providing limited insights into implementation experiences that could inform granular policymaking and industry strategies. To address this gap, we examine the lived CN experiences of firms in the transportation, energy, manufacturing, and construction ...
Adeel Luqman +4 more
wiley +1 more source
Resource availability and human activity shape the landscape distribution of white rhinoceros, a highly threatened African megaherbivore. [PDF]
Staegemann ESM +5 more
europepmc +1 more source
Perovskite oxide catalysts with reduced Co content, substituted by Fe and Ni, are synthesized and studied for their activity in the oxygen evolution reaction in alkaline media. An increase in the intrinsic catalytic activity (obtained by the (RctCdl)−1 product) of the base material (Ba0.5Gd0.8La0.7Co2O6‐δ) is seen for an as high as 70 % substitution of
Henrik Petlund +6 more
wiley +1 more source
Fire risk assessment using machine learning techniques: a case study of Jinan City, China. [PDF]
Wei G, Han GS, Lang X.
europepmc +1 more source
Based on acoustic emission response characteristics, it can be more accurate to identify the damage evolution process of coal under the combined dynamic and static loads, reveal the moment corresponding to coal damage, and identify the characteristics of coal failure. The research results are conducive to the further use of acoustic emission monitoring
Wei Zhang +10 more
wiley +1 more source
Machine learning analysis of Iran's wildfire landscape and anthropogenic influences. [PDF]
Sadra N +5 more
europepmc +1 more source

