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In Brazil, agriculture consumes most of the available freshwater, especially in the Cerrado biome, where the rain cycle is marked by long periods of drought. This study, conducted at the Brazilian Agricultural Research Corporation (Embrapa) Research Corporation unit in Santo Antônio de Goiás, Goiás, Brazil, estimated evapotranspiration (ET) in different crops and soil cover. Using multispectral unmanned aerial vehicle (UAV) images, Sentinel satellite data, weather station information, and towers employing the eddy covariance method, we applied the "Simple Algorithm for Evapotranspiration Retrieving" (SAFER) to calculate ET in common bean, pasture, and semideciduous seasonal forest areas. The results showed a good agreement between UAV and satellite data, with R = 0.84, also validated with flow towers by the eddy covariance method. UAV-based ET was observed to correspond well to tower (EC) during full vegetative development of beans but is underestimated at the beginning of planting and in the final periods of plant senescence, due to the influence of soil or straw cover. These findings contribute to a better understanding of water dynamics in the system and to enhancing sustainable agricultural practices. This method, adapted for multispectral aerial imaging, can be applied flexibly and on-demand, in different contexts and ground cover. The study highlights the importance of integrated agricultural practices for better management of water resources and preservation of the Cerrado in balance with cultivation areas.
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http://dx.doi.org/10.1007/s10661-024-13224-7 | DOI Listing |
Mar Pollut Bull
September 2025
Research Institute for Applied Mechanics, Kyushu University, Japan.
Effective reduction of oceanic plastic pollution requires scalable and objective monitoring methods that go beyond traditional human-based surveys. This review synthesizes recent advances in remote sensing and AI-driven image analysis for detecting macro-plastic litter. Peer-reviewed studies published up to 2024 were systematically selected from the Scopus database, focusing on applications of remote sensing platforms including webcams, drones, balloons, aircraft, and satellites for monitoring plastic litter in coastal, riverine, and other aquatic environments.
View Article and Find Full Text PDFSci Adv
September 2025
Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Based on measurements of near-trench deformations of the oceanic and overriding plates, in this investigation, we elucidate the tectonic and mechanical processes leading to the 7.0 (moment magnitude of 7.0) Acapulco, Mexico, earthquake in 2021.
View Article and Find Full Text PDFAm J Physiol Cell Physiol
September 2025
Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC.
Cachexia, the loss of skeletal muscle mass and function with cancer, contributes to reduced life quality and worsened survival. Skeletal muscle fibrosis leads to disproportionate muscle weakness; however, the role of infiltrating immune cells and fibro-adipogenic progenitors (FAPs) in cancer-induced muscle fibrosis is not well understood. Using the C26 model of cancer cachexia, we sought to examine the changes to skeletal muscle immune cells and FAPs which contribute to excessive extracellular matrix (ECM) collagen deposition.
View Article and Find Full Text PDFCochrane Database Syst Rev
September 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Background: Radiotherapy is the mainstay of treatment for head and neck cancer (HNC) but may induce various side effects on surrounding normal tissues. To reach an optimal balance between tumour control and toxicity prevention, normal tissue complication probability (NTCP) models have been reported to predict the risk of radiation-induced side effects in patients with HNC. However, the quality of study design, conduct, and analysis (i.
View Article and Find Full Text PDFNat Genet
September 2025
Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Despite advances in genomic diagnostics, the majority of individuals with rare diseases remain without a confirmed genetic diagnosis. The rapid emergence of advanced omics technologies, such as long-read genome sequencing, optical genome mapping and multiomic profiling, has improved diagnostic yield but also substantially increased analytical and interpretational complexity. Addressing this complexity requires systematic multidisciplinary collaboration, as recently demonstrated by targeted diagnostic workshops.
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