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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
Published 2022Get full text
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Exploring the factors contributing to parent stress symptoms during the COVID‐19 pandemic in Europe: An ABC‐X model approach
Published 2024“…In this study, we sought to understand the factors contributing to parent stress symptoms during the early stages of the pandemic in 23 European countries (<i>N</i> = 40,138) using the double ABC‐X model. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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Deep Learning in LncRNAome: Contribution, Challenges, and Perspectives
Published 2020“…DL-based modeling techniques have now become a choice for many modeling tasks in the field of lncRNAome as well. …”
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Uneven Contributions: Informal Entrepreneurship and Sustainability in the Global South
Published 2026“…While informal enterprises generate substantial income and employment contributing 40%–60% of GDP and engaging over 70% of the workforce in many developing regions, their broader social and environmental consequences are insufficiently understood. …”
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Thermal Conductivities of Choline Chloride-Based Deep Eutectic Solvents and Their Mixtures with Water: Measurement and Estimation
Published 2020“…Various empirical and thermodynamic correlations present in literature, including the group contribution method and mixing correlations, were used to model the thermal conductivities of these DES at different temperatures. …”
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Thermal Conductivities of Choline Chloride-Based Deep Eutectic Solvents and Their Mixtures with Water: Measurement and Estimation
Published 2020“…Various empirical and thermodynamic correlations present in literature, including the group contribution method and mixing correlations, were used to model the thermal conductivities of these DES at different temperatures. …”
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ApoM binds endotoxin contributing to neutralization and clearance by High Density Lipoprotein
Published 2023“…ApoM is required for HDL biogenesis and 95% of plasma ApoM is found associated with HDL, both are significantly reduced during sepsis.</p><h3>Aim</h3><p dir="ltr">The aim of this study is to investigate whether ApoM binds endotoxin and contributes to anti-inflammatory activity of HDL.…”
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Does standalone phacoemulsification lower intraocular pressure in glaucomatous eyes? A systematic review and meta-analysis
Published 2025“…In conclusion, standalone phacoemulsification significantly lowers IOP and reduces the need for glaucoma medications in patients with glaucoma.…”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Discourse Analysis of Lexical Cohesive Devices in Shakespearean Sonnets: Exploring their Significant Functions and Roles in ESL Poetry Classes
Published 2024“…Furthermore, the study introduces a practical and innovative pedagogical tool—the graphic organizer—that bridges the gap between theoretical understanding and practical application in poetry education. This research contributes significantly to the field by offering concrete strategies for educators to empower students in their poetic endeavors.…”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”