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47 resultados encontrados.

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Forest type and stand age co-regulate iron-associated carbon and microbial life-history strategies in red soils
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Forest type and stand age co-regulate iron-associated carbon and microbial life-history strategies in red soils
Fuxing Tan et al · Frontiers Media S.A · 2026 · ISSN 1664-302X
Microorganisms are important regulators of soil organic carbon (SOC) accumulation and stabilization, which is modulated by soil minerals, especially iron (Fe) oxides. Here, we analyzed soils from different forest types (...
LCC TENDOk1pY3JvYmlvbG9neQ~~Idioma eng
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Modeling and predicting land use / land cover dynamics in Borana National Park, southern Ethiopia
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Modeling and predicting land use / land cover dynamics in Borana National Park, southern Ethiopia
Gamtesa Olika Bulto et al · Elsevier · 2026 · ISSN 2665-9727
Understanding LULC dynamics is essential for biodiversity conservation. This study quantified historical LULC changes from 1987 to 2023 and projected future trends (2023-2059) in Borana National Park (BNP) in southern Et...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma eng
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Modeling and validation in Parkinson’s disease patients with frailty
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Modeling and validation in Parkinson’s disease patients with frailty
Guoyang Li et al · Frontiers Media S.A · 2025 · ISSN 1662-453X
IntroductionParkinson’s disease (PD) is the second most common neurodegenerative disorder. The risk of frailty is significantly higher in patients with PD than in age-matched individuals without PD. This study aimed to...
LCC LCC:Neurosciences. Biological psychiatry. NeuropsychiatryIdioma eng
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Precision Modeling of Forest Eco-hydrological Process via LiDAR and AI Integration: Advances and Application Framework
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Precision Modeling of Forest Eco-hydrological Process via LiDAR and AI Integration: Advances and Application Framework
Qiao Xu et al · 《中国工程科学》杂志社 · 2026 · ISSN 1009-1742
Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...
LCC LCC:Engineering (General). Civil engineering (General)Idioma zho
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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
Joao Victor do Nascimento Lima et al · IEEE · 2026 · ISSN 2169-3536
Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Características básicas para um agrupamento ecológico preliminar de espécies madeireiras da floresta de terra firme da Amazônia Central Basic characteristics for a preliminary ecological ranking of timber species occurring in a non-flooded forest in Central Amazonia
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Características básicas para um agrupamento ecológico preliminar de espécies madeireiras da floresta de terra firme da Amazônia Central Basic characteristics for a preliminary ecological ranking of timber species occurring in a non-flooded forest in Central Amazonia
Isolde Dorothea Kossmann Ferraz et al · Instituto Nacional de Pesquisas da Amazônia · 2004 · ISSN 0044-5967
O objetivo deste trabalho foi reunir informações sobre espécies madeireiras de terra firme nas proximidades de Manaus e tentar identificar as suas possíveis posições no contexto da sucessão florestal. Uma classifi...
LCC LCC:Science (General)Idioma eng
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach
Ghazi Al-Khateeb et al · Springer Nature · 2025 · ISSN 2097-0943
Abstract The accurate prediction of the deterioration of Continuously Reinforced Concrete Pavement (CRCP) is essential for the effective management of pavements and the maintenance of infrastructure. In this study, a co...
LCC LCC:Engineering (General). Civil engineering (General); TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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TREE CARBON STOCK ESTIMATION AND MODELING OF PALSABANGON WATERSHED USING THE INVEST MODEL IN QUEZON PROVINCE, PHILIPPINES
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TREE CARBON STOCK ESTIMATION AND MODELING OF PALSABANGON WATERSHED USING THE INVEST MODEL IN QUEZON PROVINCE, PHILIPPINES
Raffy D. Gordula et al · SEAMEO, BIOTROP · 2026 · ISSN 0215-6334
ARTICLE HIGLIGHTS - First carbon mapping of Palsabangon watershed using InVEST model - Combines remote sensing and field data across four key vegetation types - Reveals mangroves store highest carbon per hectare among la...
LCC LCC:Biology (General); TENDOkVjb2xvZ3k~Idioma eng
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Assessing the effects of ESG awareness on purchase intention of eco-labeled forest products: Mediating role of consumer attitudes and moderating influence of green product knowledge
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Assessing the effects of ESG awareness on purchase intention of eco-labeled forest products: Mediating role of consumer attitudes and moderating influence of green product knowledge
Dinh Duc Truong et al · Elsevier · 2026 · ISSN 2666-7843
Eco-labeling and Environmental, Social, and Governance (ESG) practices are increasingly promoted in the global forestry sector to encourage sustainable consumption. However, limited research has examined how consumers' a...
LCC TENDOkVudmlyb25tZW50YWwgZWZmZWN0cyBvZiBpbmR1c3RyaWVzIGFuZCBwbGFudHM~; LCC:Economic growth, development, planningIdioma eng
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Structural characteristics and environmental impact factors of submerged macrophytes communities during the natural restoration period of urban lakes with different trophic levels
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Structural characteristics and environmental impact factors of submerged macrophytes communities during the natural restoration period of urban lakes with different trophic levels
Haibin Tang et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Research on the dynamics and driving mechanisms of submerged macrophytes communities during the natural restoration period of lakes with different trophic level remains relatively scarce. This study aims to inve...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model
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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model
Hussein Karam Abd El-Sattar et al · Springer · 2026 · ISSN 2731-0809
Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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AI-accelerated discovery of defect-engineered heteroatom-doped carbon electrocatalysts for electrochemical CO₂ reduction to C₂⁺ products
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AI-accelerated discovery of defect-engineered heteroatom-doped carbon electrocatalysts for electrochemical CO₂ reduction to C₂⁺ products
Mohammad Fazle Rabbi · Elsevier · 2026 · ISSN 2212-9839
Selective electrochemical CO₂ reduction to multi-carbon products remains a central bottleneck for carbon-neutral chemical manufacturing, with most catalysts achieving C₂⁺ Faradaic efficiencies below 75%. This inves...
LCC TENDOlRlY2hub2xvZ3k~Idioma eng
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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer
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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer
Bin Xu et al · Frontiers Media S.A · 2026 · ISSN 2296-858X
BackgroundYoung women with localized breast cancer represent a clinically distinct population with heterogeneous outcomes, yet age-specific prognostic models remain limited. Conventional risk stratification tools derived...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~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
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Spatiotemporal Impacts of Drug Crop and Commodity Agriculture on Cultural Ecosystem Services: The Case of Ischnosiphon in Ticuna Communities of Loreto, Peru
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Spatiotemporal Impacts of Drug Crop and Commodity Agriculture on Cultural Ecosystem Services: The Case of Ischnosiphon in Ticuna Communities of Loreto, Peru
Juan José Palacios Vega et al · LSE Press · 2024 · ISSN 2516-7227
In recent decades, drug crop eradication and drug trafficking interdiction have pushed drug crop cultivation into new areas of the Amazonian rain forest. The presence of the drug industries in these regions—followed by...
LCC LCC:Social pathology. Social and public welfare. Criminology; TENDOlNvY2lhbCBoaXN0b3J5IGFuZCBjb25kaXRpb25zLiBTb2NpYWwgcHIdioma eng
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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
Meltem Aksoy et al · Springer · 2026 · ISSN 1875-6883
Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices
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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices
Vijaykumar S. Jatti et al · Springer · 2026 · ISSN 2731-6564
Abstract This research employs hybrid machine learning techniques to optimize the mechanical properties of 3D-printed polylactic acid (PLA) lattice structures. By integrating random forest (RF) and XGBoost (XGB) algorith...
LCC TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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Assessment of climate change impacts on water resources of the Purus Basin in the southwestern Amazon
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Assessment of climate change impacts on water resources of the Purus Basin in the southwestern Amazon
Ricardo DALAGNOL et al · Instituto Nacional de Pesquisas da Amazônia · 2017 · ISSN 0044-5967
ABSTRACT Knowledge about water resources is critical for climate adaptation in face of long-term changes and more frequent extreme events occurrence. During the major droughts of 2005 and 2010, a large epicenter was loca...
LCC LCC:Science (General)Idioma eng
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Drivers of change in biodiversity and ecosystem services in the Cantareira System Protected Area: A prospective analysis of the implementation of public policies
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Drivers of change in biodiversity and ecosystem services in the Cantareira System Protected Area: A prospective analysis of the implementation of public policies
Dib, Viviane et al · Universidade Estadual de Campinas. Instituto de Biologia. Departamento de Biologia Vegetal · 2020 · ISSN 1676-0603
The lack of implementation of well-designed public policies aimed at the conservation of natural ecosystems has resulted, at a global level, in the decline of ecosystem functioning and, consequently, of the contributions...
Idioma eng
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Machine learning prediction model for surgical site infections after major abdominal surgery
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Machine learning prediction model for surgical site infections after major abdominal surgery
Saif Ghabisha et al · BMC · 2026 · ISSN 1754-9493
Abstract Background Surgical site infections (SSIs) continue to exert a substantial burden on healthcare systems, particularly in resource-limited settings where they contribute to prolonged hospitalizations, escalated c...
LCC TENDOlN1cmdlcnk~Idioma eng
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Optimization of vulnerability assessment through socio-economic data spatialization for enhanced landslide risk evaluation
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Optimization of vulnerability assessment through socio-economic data spatialization for enhanced landslide risk evaluation
Yang Zhen et al · De Gruyter · 2026 · ISSN 2391-5447
In response to issues in regional landslide risk evaluation (LRE), such as the over-reliance on administrative unit statistics for vulnerability characterization and the difficulty in capturing the fine-scale spatial het...
LCC TENDOkdlb2xvZ3k~Idioma eng
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Predicting recreational therapy engagement in veterans’ long-term care: a machine learning approach
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Predicting recreational therapy engagement in veterans’ long-term care: a machine learning approach
Mohammad Najeh Samara et al · Frontiers Media S.A · 2026 · ISSN 2813-0146
BackgroundThere is limited understanding regarding the factors that predict recreational therapy engagement among veterans in long-term care facilities. We aimed to develop and validate machine learning models to predict...
LCC LCC:MedicineIdioma eng
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AI-based wearable system for fall risk prediction in older adults using sEMG and plantar pressure data
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AI-based wearable system for fall risk prediction in older adults using sEMG and plantar pressure data
Xikun Ma et al · Frontiers Media S.A · 2026 · ISSN 2296-4185
Falls among older adults pose a major healthcare and social burden, making early identification of high-risk individuals essential for prevention. This study presents a portable, non-invasive AI-based wearable system tha...
LCC TENDOkJpb3RlY2hub2xvZ3k~Idioma eng
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An interpretable IGWO-MKRVM model for predicting excavation damaged zone thickness of drift
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An interpretable IGWO-MKRVM model for predicting excavation damaged zone thickness of drift
Ruzi Yang et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract The stability of surrounding rock is a critical challenge in underground engineering. Accurate prediction of Excavation Damaged Zone Thickness (EDZT) in surrounding rock is vital for designing safe underground s...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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