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An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan

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An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan

Muhammad Ismail Khan et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract The increasing frequency of natural hazards, intensified by climate change, poses substantial challenges to sustainable development worldwide. Northern Pakistan, particularly the Hunza district, is highly suscep...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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Availability of drone mission with binary decision diagram based on uncertain data

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Availability of drone mission with binary decision diagram based on uncertain data

Elena Zaitseva et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Unmanned aerial vehicles (UAVs), or drones, are increasingly deployed for critical missions such as environmental monitoring, infrastructure inspection, and disaster response. Assessing the reliability of these ...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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Land use induced variations in soil fertility and physicochemical properties across surface and subsurface layers

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Land use induced variations in soil fertility and physicochemical properties across surface and subsurface layers

Birtukan Gebre et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Land use change and soil depth are key determinants of soil fertility in tropical highland agroecosystems; however, their interactive effects remain insufficiently quantified in the Ethiopian highlands. This stu...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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Land-use controls on soil organic carbon dynamics across Amazonian ecosystems, Brazil

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Land-use controls on soil organic carbon dynamics across Amazonian ecosystems, Brazil

Gizachew Ayalew Tiruneh et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Land-use change strongly regulates soil physical, chemical, and biogeochemical properties, with major implications for soil organic carbon (SOC) storage in the Brazilian Amazon to a depth of 30 cm. This study a...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.

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Sustainable regional corn yield prediction for the United States through interpretable machine learning approach

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Sustainable regional corn yield prediction for the United States through interpretable machine learning approach

Tanzila Kehkashan et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Considering crop yield prediction as critical to optimizing agricultural practices and food security, this question is critical to U.S. agricultural planning and regional food security; relevant research on corn...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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