1,010 results found

Flávia dos Santos Bomfim, Luisa Maria Diele-Viegas, Thieres Santos-Almeida, Bianca Barros Zaballa, Mateus Almeida Santos, Hugo Andrade, Fernanda Melo Gomes

Anthropogenic activities have increasingly pressured biodiversity worldwide. The cactus Melocactus pachyacanthus, an endemic and endangered species of Brazil´s Caatinga biome, is particularly vulnerab...

Discover Ecology 2026-04-21 rs-9109033
Anthropic activities Caatinga Cactus Ecological Niche Modeling Environmental suitability

Ylenia D'elia, Nicole Caballa, Caitlin Nguyen, Xuege Tong, Akila Kadambi, Lisa Aziz-Zadeh

Large language model (LLM)-based chatbots are increasingly integrated into various sectors of people's lives, including education, healthcare, and retail. As they become more ubiquitous, safety concer...

Humanities and Social Sciences Communications 2026-04-21 rs-9224936
Anthropomorphism large language models LLMs chatbots system-level factors user-level factors

Yan Liu, Wei Gang, Wei Chen, Limei Yang, Rui Dong, Zhiyong Guo

Objective Maintenance hemodialysis (MHD) patients face a high risk of mortality. This study aimed to identify factors associated with mortality and assess the survival benefit of hemodialysis combined...

BMC Nephrology 2026-04-21 rs-8739970
Hemoperfusion Maintenance hemodialysis Survival analysis Propensity score matching Mortality risk factors Logistic regression Time-dependent Cox regression

Giulia Bianchi, Marco Conti, Lorenzo Esposito

Acute stroke lesions evolve rapidly, making it essential to model both temporal progression signals and anatomical constraints. DME-Net incorporates complementary temporal and spatial memory banks tha...

Research Square 2026-04-21 rs-9459912
Acute stroke segmentation temporal-spatial networks lesion evolution modeling ISLES2018 DWI/PWI imaging neurovascular analysis

Axel Olander, David J. Suggett, Caitlin A. Lawson, Abigail Woods, Laura M. La Motta, Natasha Bartels, Maiken Ueland, Jean-Baptiste Raina

Biogenic volatile organic compounds (BVOCs) are important molecules that may act as indicators for aquatic ecosystem health, functioning and composition. However, aquatic BVOC sampling methods are cur...

Scientific Reports 2026-04-21 rs-9257585
Marine volatilomics In situ sampling Coral Macroalgae Mangrove GC×GC–TOFMS

Wenxuan Zhao, Zhigang Ju

Considering the global energy crisis, developing renewable biomass energy has become an urgent strategic need. In order to better utilize biomass resources, wheat straw was used as raw material. Findi...

BioEnergy Research 2026-04-21 rs-9171419
wheat straw pretreatment ligninases simultaneous saccharification and fermentation ethanol

Masooma Batool, Wim De Vries, Gerard H. Ros, Mark Sutton, Fanny Sarrazin, Udit Bhatia, Shekhar Goyal, Guy Peer, Rohini Kumar

The European Union's Green Deal aims to reduce nutrient losses to air and water by 50% by 2030, requiring a substantial reduction in nitrogen (N) surplus from agricultural land. Using Europe-wide data...

Nature Portfolio 2026-04-21 rs-9290508

Shingirai Artwell Darikwa, Innocent Maposa

Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...

BMC Public Health 2026-04-21 rs-9363716
Bayesian outbreak detection Hamiltonian Monte Carlo; spatio-temporal modelling COVID-19 South Africa hidden Markov model disease surveillance

Faheem Jan, Musaad S. Aldhabani, Izatmand Haleemzai, Ahmed M. Zidan, Mehwish Tahir

Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...

Scientific Reports 2026-04-21 rs-9130354
Electricity Price Forecasting Anomaly Detection Ensemble Learning Machine Learning STL Decomposition.vector autoregressive autoregressive moving average autoregressive neural network k-nearest Neighbors

Jecha Jecha, Chimaobi Charles Igwean, Anum Banaras

Help-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated...

Research Square 2026-04-21 rs-9471902
Generative artificial intelligence Adaptive learning systems Help-seeking scaffolds Self-regulated learning Personalised feedback
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