Results 91 to 100 of about 133,441 (345)
This long‐term follow‐up study determined survival rates in a Swedish national cohort of 417 patients with breast cancer who all had neoadjuvant systemic therapy (NAST). Sentinel lymph node biopsy (SLNB) was performed before NAST in clinically node‐negative and after NAST in clinically node‐positive patients.
L. Zetterlund+4 more
wiley +1 more source
Identifying cropped areas in small growers agricultural regions using data mining for food security [PDF]
The present study aimed at testing the potential of the future mission SENTINEL-2 (European Copernicus program) to map croplands in a region of Madagascar characterized by small size fields and frequent cloud covering.
Andriandrahona Fidiniaina, Ramahandry+6 more
core
Country-wide high-resolution vegetation height mapping with Sentinel-2 [PDF]
Sentinel-2 multi-spectral images collected over periods of several months were used to estimate vegetation height for Gabon and Switzerland. A deep convolutional neural network (CNN) was trained to extract suitable spectral and textural features from reflectance images and to regress per-pixel vegetation height. In Gabon, reference heights for training
arxiv +1 more source
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll+16 more
wiley +1 more source
The remote sensing based mapping of land cover at extensive scales, e.g., of whole continents, is still a challenging task because of the need for sophisticated pipelines that combine every step from data acquisition to land cover classification ...
Qingyu Li+4 more
doaj +1 more source
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2 [PDF]
Multi-spectral satellite imagery provides valuable data at global scale for many environmental and socio-economic applications. Building supervised machine learning models based on these imagery, however, may require ground reference labels which are not available at global scale.
arxiv
Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach+4 more
wiley +1 more source
The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the ...
Sasan Vafaei+6 more
doaj +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai+8 more
wiley +1 more source
LandCoverNet: A global benchmark land cover classification training dataset [PDF]
Regularly updated and accurate land cover maps are essential for monitoring 14 of the 17 Sustainable Development Goals. Multispectral satellite imagery provide high-quality and valuable information at global scale that can be used to develop land cover classification models.
arxiv