Early Modeling of the Upcoming Landsat Next Constellation for Soybean Yield Prediction Under Varying Levels of Water Availability by Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Rubson Natal Ribeiro Sibaldelli, Liang Sun, Renato Herrig Furlanetto, Sergio Luiz Gonçalves, Norman Neumaier, José Renato Bouças Farias

“…NDSWVI showed the best performance (R² = 0.37) compared to traditional existing and new vegetation indices. (3) The PLSR model gave the best results (R² = 0.65), outperforming the Landsat OLI and Sentinel-2 MSI sensors. The improved spectral resolution of Landsat Next is expected to contribute to improved crop monitoring, especially for soybean crops in Brazil, increasing the sustainability of the production systems and strengthening food security in Brazil and globally.…”
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Temperature Rise Characteristic of Circuit Breakers Based on New Environmentally Friendly Gas by Lihua ZHAO, Zhiyun WU, Zhiqiang YAN, Xiaolong HUANG, Wenjun NING, Shenli JIA

“…The arrangement of temperature sensors and the testing scheme are established, providing a data foundation for further studies on temperature rise characteristics. …”
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Research Progress on Selective Depolymerization of Waste Plastics to High-Quality Liquid Fuels by Xinze LI, Zhicheng LUO, Rui XIAO

“…For instance, microwave-enhanced light absorption in TiO2-MoS2 hybrids doubled charge carrier density, potentially reducing energy consumption by 30% – 40%. (3) Intelligent reactors: IoT-enabled sensors and machine learning algorithms stabilized multiphase reactions in simulated trials, minimizing yield fluctuations to ±5% versus ±15% in batch modes. …”
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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…Learners also reported an increased cognitive load and heightened stress levels when navigating these more complex, AI-driven activities.Clinical decision support and monitoringAI-enabled alert algorithms and wearable sensors enabled nurses to detect subtle signs of patient deterioration and fever significantly earlier than conventional methods, supporting timelier clinical interventions. …”
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