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  • The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations.
    Turella, S Dankiewicz, J Friberg, H Jakobsen, JC Leithner, C Levin, H Lilja, G Moseby-Knappe, M Nielsen, N Rossetti, AO Sandroni, C Zubler, F Cronberg, T Westhall, E TTM2-trial investigators,
    PURPOSE: The 2021 guidelines endorsed by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) recommend using highly malignant electroencephalogram (...
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  • Cost-Efficient and Privacy-Preserving Synthesis of Complex Sensitive Data
    Suresh, S Zhang, G Liu, B Drake, B
    This paper introduces a novel method for generating differentially private synthetic datasets that harnesses Bayesian networks to ensure the preservation of essential statistical properties and ref...
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  • Transcriptomic Temperature Stress Responses Show Differentiation Between Biomes for Diverse Plants.
    Andrew, SC Harris, RJ Coppin, C Nicotra, AB Leigh, A Mokany, K
    Plants are foundational to terrestrial ecosystems, and because they are sessile, they are particularly reliant on physiological plasticity to respond to weather extremes. However, variation in cons...
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  • Space based Sensors for Extreme Fire Weather Events
    Pereira, A Sharples, J Menk, F Kruzins, E Kermode, R Al-Sarawi, S Abbott, D Polusen, C Jhabvala, M Morton, D Gatlin, P Quick, M de, P
    Catastrophic bushfires are becoming increasingly prevalent as climate change advances. Impacts extend beyond national borders. Multinational efforts can inform new science and management practices....
    Continue Reading
  • Atmospheric Water Harvesting with Polymeric Hydrogels
    Feng, An
    Water scarcity remains a pressing global challenge despite the abundance of Earth's water resources, necessitating innovative and sustainable water extraction technologies. Conventional methods, su...
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  • Application of Quantum Machine Learning for Optimization and Data Imbalance Solutions
    Mohanty, Nishikanta
    This thesis investigates the inventive application of quantum computing methods to solve two critical challenges: optimization challenges with a focus on the Vehicle Routing Problem (VRP) and the i...
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  • Physics-guided Machine Learning for Condition Assessment of Building Structures in Operational Environments
    Zhang, Xutong
    Structural condition assessment is critical for ensuring the safety and functionality of building structures, yet existing methods face significant challenges, including data scarcity, noise contam...
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  • Synergistic effects of peptide mimics against enveloped viruses.
    Urmi, UL Vijay, AK Kuppusamy, R Attard, S Hartmann, LM Bridge, S Soundararajan, S Holt, SA Sarwat, S Islam, S Cranfield, CG Kumar, N Willcox, MDP
    The global health impact of viruses highlights the urgent need for innovative antiviral strategies. This study investigated the synergistic potential of two anthranilamide-based peptide mimics (RK6...
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  • Risk-stratified lifetime risk and incidence of hip fracture and falls in middle-aged and elderly Chinese population: The China health and retirement longitudinal study.
    Du, G Fan, Z Fan, K Liu, H Zhang, J Li, D Yan, L Jiu, J Li, R Li, X Li, S Jia, L Liu, H Ren, Y Liu, X Li, JJ Wang, B
    BACKGROUND: Hip fracture (HF) is one of the most prevalent orthopedic conditions among the elderly, with falls being the primary risk factor for HF. With the surge of aged population, China is faci...
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  • Cortical Actin Depolymerisation in 3D Cell Culture Enhances Extracellular Vesicle Secretion and Therapeutic Effects.
    Yang, Z Li, X Lin, Q Zhou, F Liang, K Li, JJ Niu, Y Meng, Q Zhao, T Li, H Wang, D Lin, J Li, H Wang, B Liu, W Du, Y Lin, J Xing, D
    Three-dimensional (3D) culture systems have been shown to enhance cellular secretion of small extracellular vesicles (sEVs) compared to two-dimensional (2D) culture. However, the molecular mechanis...
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