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Machine learning-accelerated discovery of covalent organic frameworks for hydrogen peroxide photosynthesis
ML-driven workflow
To construct the ML model, we first compiled a database from 55 manually screened research papers, including COF descriptors and their corresponding photocatalytic yields (μmol h−1 g−1) (Fig. 2a). Due to the skewed…
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Contrasting selective signatures of gene expression plasticity in response to antifungal clotrimazole and common environmental stresses in yeast
Sultan, S. E. Phenotypic plasticity as an intrinsic property of organisms. in Phenotypic Plasticity and Evolution (CRC Press, 2021).
Futuyma, D. J. How does phenotypic plasticity fit into evolutionary theory? in Phenotypic Plasticity and Evolution…
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Efficient electrification in a warming climate could contribute to keeping energy burdens in check
We selected 28 cities to represent a range of climate conditions across the United States. Following the city selection approach in9, climate regions were defined using data from the U.S. Office of Energy Efficiency and Renewable Energy’s…
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N2-(1-carboxyethyl)-2′-deoxyguanosine as a genotoxic glycation marker associated with chromatin architectural alterations in oral squamous cell carcinoma
Dhingra, K. Oral cancer: a global threat. J. Indian Med. Assoc. 107, (5), 257–259. https://doi.org/10.1308/rcsbull.2025 (2025).
Jagadeesan, D. et al. Comprehensive insights into oral squamous…
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Relativistic 56Ni decay lines in GRB 221009A
Hjorth, J. et al. A very energetic supernova associated with the γ-ray burst of 29 March 2003. Nature 423, 847–850 (2003).
Galama, T. J. et al. An unusual supernova in the error box of the…
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Aversive learning hijacks a brain sugar sensor to consolidate memory
Drosophila strains and culture
Flies (D. melanogaster) were raised on standard medium (inactivated yeast 6% (w/v); corn flour 6.66% (w/v); agar 0.9% (w/v); methyl-4hydroxybenzoate 22 mM) under a 12 h–12 h…
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Incorporating long-range interactions via the multipole expansion into ground and excited-state molecular simulations
Sauceda, H. E. et al. BIGDML-towards accurate quantum machine learning force fields for materials. Nat. Commun. 13, 3733 (2022).
Deng, B. et al. Chgnet as a pretrained universal neural network…
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Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical study
Ahmad, F. A., Liu, J., Hashim, F. & Samsudin, K. Short-term load forecasting utilizing a combination model: a brief review. Int. J. Technol. 15, 121–129. https://doi.org/10.14716/ijtech.v15i1.5543 (2024).
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