Results 131 to 140 of about 1,631,931 (302)

Resolving the biome debate: ecological and palaeo‐data concur that the extensive tree‐limited grassy biomes of central and north‐western Madagascar are largely anthropogenic

Biological Reviews, EarlyView.
ABSTRACT For millennia, human activities have transformed ecosystems globally. Determining which landscapes are predominantly anthropogenic is crucial to conservation and habitat restoration. Madagascar, a critically‐threatened biodiversity hotspot, is a prominent example.
Grant S. Joseph, Sean Hixon, Colleen L. Seymour, Laurie R. Godfrey, Miguel Pedrono, Karen E. Samonds, Andrinajoro R. Rakotoarivelo, Brooke E. Crowley   +7 more
wiley   +1 more source

HI4HC and AAAAD: Exploring a hierarchical method and dataset using hybrid intelligence for remote sensing scene captioning

International Journal of Applied Earth Observations and Geoinformation
Remote sensing scene captioning is crucial for the deep understanding and intelligent analysis of Earth observation data. Many existing methods and datasets lack a fine-grained description of key geographical elements, fail to capture the full diversity ...
Jiaxin Ren, Wanzeng Liu, Jun Chen, Shunxi Yin   +3 more
doaj   +1 more source

Effects of Biotin on a Fluorescein‐Based Photosensitizer Revealed by Multiscale Computational Modeling

Chemistry – A European Journal, EarlyView.
Biotinylation of a fluorescein‐based photosensitizer enhances its performance in PDT through a synergistic dual action. In addition to Type II singlet oxygen generation common to both dyes, the biotinylated system induces stronger membrane perturbation and higher local accumulation in lipid membranes, associated with increased water permeability and ...
Valeria Butera, Alessandra Gilda Ritacca, Giampaolo Barone, Nino Russo, Marta Erminia Alberto   +4 more
wiley   +1 more source

LatAtk: A Medical Image Attack Method Focused on Lesion Areas with High Transferability

Journal of Imaging
The rise in trusted machine learning has prompted concerns about the security, reliability and controllability of deep learning, especially when it is applied to sensitive areas involving life and health safety.
Long Li, Yibo Huang, Chong Li, Fei Zhou, Jingjing Li, Kamarul Hawari Ghazali   +5 more
doaj   +1 more source

Spatio-Temporal Modelling for Archaeology

, 2019
Talk given by Tim Evans, Imperial College London 2nd September 2019 as part of "Extracting and analysing networks from spatio-temporal data", a satellite of the Conference on Complex Systems (CCS) 2019 in Singapore,
Tim Evans (98566)
core   +1 more source

Slip versus dilation tendency parameter space as a tool for prospecting structurally controlled geothermal systems in greenfield: insights from the greater Ruhr region

Deep Underground Science and Engineering, EarlyView.
This study highlights that with the static and time‐dependent evolution of slip versus dilation tendency parameter space, structurally controlled deep geothermal systems can be selected within areas of higher permeability and lower seismic hazard. Abstract Faults play a vital role in the Earth's hydraulic system by facilitating fluid flow when dilating
Michal Kruszewski, Alessandro Verdecchia, Oliver Heidbach, Rebecca M. Harrington, David Healy   +4 more
wiley   +1 more source

89Zr-labeled ImmunoPET targeting the cancer stem cell antigen CD133 using fully-human antibody constructs

EJNMMI Research
Background Cancer stem cells play an important role in driving tumor growth and treatment resistance, which makes them a promising therapeutic target to prevent cancer recurrence.
Kevin Wyszatko, Melissa Chassé, Nancy Janzen, Luis Rafael Silva, Luke Kwon, Teesha Komal, Manuela Ventura, Chitra Venugopal, Sheila K. Singh, John F. Valliant, Saman Sadeghi   +10 more
doaj   +1 more source

Application of the Reconstructed Solar-Induced Chlorophyll Fluorescence by Machine Learning in Agricultural Drought Monitoring of Henan Province, China from 2010 to 2022

Agronomy
Solar-induced chlorophyll fluorescence (SIF) serves as a proxy indicator for vegetation photosynthesis and can directly reflect the growth status of vegetation.
Guosheng Cai, Xiaoping Lu, Xiangjun Zhang, Guoqing Li, Haikun Yu, Zhengfang Lou, Jinrui Fan, Yushi Zhou   +7 more
doaj   +1 more source

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source