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Peatlands-based demonstration of bioeconomy innovations at scale to help achieve many of the United Nation’s Sustainable Development Goals
Published 2025-09-01“…However, the lack of appropriate demonstration facilities has limited the development of Paludiculture. …”
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Clinical and anamnestic factors of epilepsy development and course in children with cerebral palsy
Published 2025-05-01“…The model proposed for predicting development of epilepsy in children with CP demonstrated a high level of predictive power. …”
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Boltzmann energy-based image analysis demonstrates that extracellular domain size differences explain protein segregation at immune synapses.
Published 2011-08-01“…All synapses analysed satisfy these conditions demonstrating that the mechanisms of protein redistribution have identifiable signatures in their spatial patterns. …”
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Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation
Published 2018-12-01“…This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). …”
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Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends
Published 2025-01-01“…Retraining and reapplying FPCA to better capture the variation specific to these classes also demonstrated that the predictive power of scores remained constrained by the inherent limitations of <inline-formula><tex-math notation="LaTeX">$C$</tex-math></inline-formula>-band VV and VH polarized data for detecting surface water in forested areas. …”
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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction
Published 2025-03-01“…While PPNV1 employed a temporal pyramid architecture and demonstrated promising results, its innate signal processing led to aliasing in the prediction, restricting its application in robotic navigation. …”
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Maintenance Time Prediction for Predictive Maintenance of Ship Engines
Published 2025-04-01“…And through comparison and verification using machine learning, the average mean absolute error (MAE) across all cylinders was 2.916 for the RGCCV-based method and 8.138 for the temperature-based method, demonstrating a 64% improvement. These findings establish a practical foundation for implementing predictive maintenance in ship engines by enabling more reliable and condition-based maintenance.…”
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series
Published 2023-01-01“…The resulting strategy demonstrates accurate results for both benchmark and real-world time series, with the number of predicted steps exceeding that of any other published algorithm.…”
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Assessing the Predictive Value of TRIPS in Newborns
Published 2021-08-01“…A weak but significant correlation was found between the TRIPS score and the duration of intensive care (r = 0.478,p < 0.0001).Conclusion: TRIPS demonstrated an acceptable level of accuracy (AUC>0.8) in predicting hospital mortality, severe IVH, and the formation of occlusive hydrocephalus. …”
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Predictive value of syncope in pulmonary embolism
Published 2012-10-01“…Aim. To assess the predictive value of syncope in the clinical course of pulmonary thromboembolism (PTE). …”
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Predictive dynamics of human pain perception.
Published 2012-01-01“…We show that a differential equation captures the details of the temporal evolution in pain ratings in individual subjects for different stimulus pattern complexities, and also demonstrates strong predictive power to infer pain ratings, including readouts based only on brain functional images.…”
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Predictive features analysis and nomogram construction for predicting depression in elderly patients
Published 2025-08-01“…The calibration and discrimination accuracy of the nomograms for predicting depression risk in the elderly were satisfactory, and the decision curve analysis demonstrated significant clinical utility.DiscussionThe model demonstrated robust performance in our study and may constitute a valuable tool for clinical screening.…”
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Predicting periprosthetic joint infection: external validation of preoperative prediction models
Published 2024-10-01“…</p> <p><strong>Methods</strong>: Three preoperative PJI prediction models – by Tan et al. (2018), Del Toro et al. (2019), and Bülow et al. (2022) – that have previously demonstrated high levels of accuracy were selected for validation. …”
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