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Results: 214,958
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Balakrishnan, M., Corrales, L., Markoff, S., Nowak, M., Haggard, D., Wang, Q. D., Neilsen, J., Russell, C. M. P., Calderón, D., Cuadra, J., & Baganoff, F. (2024). Multistructured Accretion Flow of Sgr A*. I: Examination of a Radiatively Inefficient Accretion Flow Model. Astrophysical Journal, 974(1), Article 98. https://doi.org/10.3847/1538-4357/ad6c08 -
Kop, M., Aboy, M., De Jong, E., Gasser, U., Minssen, T., Cohen, I. G., Brongersma, M., Quintel, T., Floridi, L., & Laflamme, R. (2024). Towards Responsible Quantum Technology: Safeguarding, Engaging and Advancing Quantum R&D. UC Law Science and Technology Journal, 15(1), 63-94. Article 4. https://repository.uclawsf.edu/hastings_science_technology_law_journal/vol15/iss1/4/ -
Sergijenko, O., Brown, A. M., Fiorillo, D., de León, A. R., Satalecka, K., Tung, C. F., Taboada, I., CTA Consortium, & FIRESONG Team (2024). Sensitivity of the Cherenkov Telescope Array to the gamma-ray emission from neutrino sources detected by IceCube. Proceedings of Science, 444, Article 1531. https://doi.org/10.22323/1.444.1531 -
Vertommen, S. (2024). Surrogacy at the Fertility Frontier: Rethinking Surrogacy in Israel/Palestine as an (Anti)Colonial Episteme. History of the Present, 14(1), 108-137. https://doi.org/10.1215/21599785-10898374 -
Chen, S., Bade, R., Tscharke, B., Hall, W., Thai, P., He, C., Ahmed, F., Zheng, Q., Choi, P. M., O'Brien, J. W., & Mueller, J. F. (2024). Assessing daily patterns in stimulant use during the COVID-19 pandemic in Melbourne, Australia using wastewater analysis. Journal of Hazardous Materials, 476, Article 135130. https://doi.org/10.1016/j.jhazmat.2024.135130 -
Donders, Y. (2024). The Right to Science: Another Tool to Repair Gender Inequalities in Sciences and Research. In A. Broderick, & J. Sellin (Eds.), Socio-economic Rights, Inequalities and Vulnerability in Times of Crises: Building Back Better (pp. 169-192). (The Association of Human Rights Institutes series). Edward Elgar Publishing. https://doi.org/10.4337/9781035306657.00017 -
Li, N., Qi, Y., Li, C., & Zhao, Z. (2024). Active Learning for Data Quality Control: A Survey. Journal of Data and Information Quality, 16(2), Article 11. https://doi.org/10.1145/3663369
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