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  1. 1

    Logical quantum processor based on reconfigurable atom arrays by Bluvstein, Dolev, Evered, Simon J., Geim, Alexandra A., Li, Sophie H., Zhou, Hengyun, Manovitz, Tom, Ebadi, Sepehr, Cain, Madelyn, Kalinowski, Marcin, Hangleiter, Dominik, Bonilla Ataides, J. Pablo, Maskara, Nishad, Cong, Iris, Gao, Xun, Sales Rodriguez, Pedro, Karolyshyn, Thomas, Semeghini, Giulia, Gullans, Michael J., Greiner, Markus, Vuletić, Vladan, Lukin, Mikhail D.

    ISSN: 0028-0836, 1476-4687, 1476-4687
    Published: London Nature Publishing Group UK 01.02.2024
    Published in Nature (London) (01.02.2024)
    “… – 6 for large-scale processing. However, the overhead in the realization of error-corrected ‘logical…”
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  2. 2

    The neural architecture of language: Integrative modeling converges on predictive processing by Schrimpf, Martin, Blank, Idan Asher, Tuckute, Greta, Kauf, Carina, Hosseini, Eghbal A, Kanwisher, Nancy, Tenenbaum, Joshua B, Fedorenko, Evelina

    ISSN: 1091-6490, 1091-6490
    Published: United States 09.11.2021
    “… We here present a systematic study taking this approach to higher-level cognition: human language processing, our species' signature cognitive skill…”
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  3. 3

    Quantum computational advantage with a programmable photonic processor by Madsen, Lars S., Laudenbach, Fabian, Askarani, Mohsen Falamarzi, Rortais, Fabien, Vincent, Trevor, Bulmer, Jacob F. F., Miatto, Filippo M., Neuhaus, Leonhard, Helt, Lukas G., Collins, Matthew J., Lita, Adriana E., Gerrits, Thomas, Nam, Sae Woo, Vaidya, Varun D., Menotti, Matteo, Dhand, Ish, Vernon, Zachary, Quesada, Nicolás, Lavoie, Jonathan

    ISSN: 0028-0836, 1476-4687, 1476-4687
    Published: London Nature Publishing Group UK 02.06.2022
    Published in Nature (London) (02.06.2022)
    “… from the quantum hardware. Here we report quantum computational advantage using Borealis, a photonic processor offering dynamic programmability on all gates implemented…”
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  4. 4

    A quantum processor based on coherent transport of entangled atom arrays by Bluvstein, Dolev, Levine, Harry, Semeghini, Giulia, Wang, Tout T., Ebadi, Sepehr, Kalinowski, Marcin, Keesling, Alexander, Maskara, Nishad, Pichler, Hannes, Greiner, Markus, Vuletić, Vladan, Lukin, Mikhail D.

    ISSN: 0028-0836, 1476-4687, 1476-4687
    Published: London Nature Publishing Group UK 21.04.2022
    Published in Nature (London) (21.04.2022)
    “…The ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems 1 , 2…”
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  5. 5

    WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing by Chen, Sanyuan, Wang, Chengyi, Chen, Zhengyang, Wu, Yu, Liu, Shujie, Chen, Zhuo, Li, Jinyu, Kanda, Naoyuki, Yoshioka, Takuya, Xiao, Xiong, Wu, Jian, Zhou, Long, Ren, Shuo, Qian, Yanmin, Qian, Yao, Wu, Jian, Zeng, Michael, Yu, Xiangzhan, Wei, Furu

    ISSN: 1932-4553, 1941-0484
    Published: New York IEEE 01.10.2022
    “…Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks…”
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  6. 6

    Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses by Lane, Melissa M, Gamage, Elizabeth, Du, Shutong, Ashtree, Deborah N, McGuinness, Amelia J, Gauci, Sarah, Baker, Phillip, Lawrence, Mark, Rebholz, Casey M, Srour, Bernard, Touvier, Mathilde, Jacka, Felice N, O’Neil, Adrienne, Segasby, Toby, Marx, Wolfgang

    ISSN: 1756-1833, 1756-1833
    Published: England British Medical Journal Publishing Group 28.02.2024
    Published in BMJ (Online) (28.02.2024)
    “…AbstractObjectiveTo evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health…”
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  7. 7
  8. 8

    Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data by Pang, Zhiqiang, Zhou, Guangyan, Ewald, Jessica, Chang, Le, Hacariz, Orcun, Basu, Niladri, Xia, Jianguo

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Published: England Nature Publishing Group 01.08.2022
    Published in Nature protocols (01.08.2022)
    “… However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology…”
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  9. 9

    Zeolites in Adsorption Processes: State of the Art and Future Prospects by Pérez-Botella, Eduardo, Valencia, Susana, Rey, Fernando

    ISSN: 1520-6890, 1520-6890
    Published: United States 28.12.2022
    Published in Chemical reviews (28.12.2022)
    “…Zeolites have been widely used as catalysts, ion exchangers, and adsorbents since their industrial breakthrough in the 1950s and continue to be state-of the-art adsorbents in many separation processes…”
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  10. 10

    A Survey of the Usages of Deep Learning for Natural Language Processing by Otter, Daniel W., Medina, Julian R., Kalita, Jugal K.

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.02.2021
    “…Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models…”
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  11. 11

    Accurate identification of radicals by in-situ electron paramagnetic resonance in ultraviolet-based homogenous advanced oxidation processes by Chen, Long, Duan, Jun, Du, Penghui, Sun, Weiliang, Lai, Bo, Liu, Wen

    ISSN: 0043-1354, 1879-2448, 1879-2448
    Published: Elsevier Ltd 01.08.2022
    Published in Water research (Oxford) (01.08.2022)
    “… Accurate identification of radicals in advanced oxidation processes (AOPs) is important to study the mechanisms on radical production and subsequent oxidation-reduction reaction…”
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  12. 12
  13. 13

    MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation by Pang, Zhiqiang, Lu, Yao, Zhou, Guangyan, Hui, Fiona, Xu, Lei, Viau, Charles, Spigelman, Aliya F, MacDonald, Patrick E, Wishart, David S, Li, Shuzhao, Xia, Jianguo

    ISSN: 0305-1048, 1362-4962, 1362-4962
    Published: England Oxford University Press 05.07.2024
    Published in Nucleic acids research (05.07.2024)
    “…We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mass spectrometry (LC–MS…”
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  14. 14

    Parallel convolutional processing using an integrated photonic tensor core by Feldmann, J., Youngblood, N., Karpov, M., Gehring, H., Li, X., Stappers, M., Le Gallo, M., Fu, X., Lukashchuk, A., Raja, A. S., Liu, J., Wright, C. D., Sebastian, A., Kippenberg, T. J., Pernice, W. H. P., Bhaskaran, H.

    ISSN: 0028-0836, 1476-4687, 1476-4687
    Published: London Nature Publishing Group UK 07.01.2021
    Published in Nature (London) (07.01.2021)
    “…) 1 , the world is generating exponentially increasing amounts of data that need to be processed in a fast and efficient way…”
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  15. 15

    High-strength titanium alloys for aerospace engineering applications: A review on melting-forging process by Zhao, Qinyang, Sun, Qiaoyan, Xin, Shewei, Chen, Yongnan, Wu, Cong, Wang, Huan, Xu, Jianwei, Wan, Mingpan, Zeng, Weidong, Zhao, Yongqing

    ISSN: 0921-5093, 1873-4936
    Published: Lausanne Elsevier B.V 15.06.2022
    “… To overcome the challenge, two primary strategies have been initiated by the titanium community, developing novel alloys and innovating processing technologies…”
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  16. 16

    Gaussian Process Regression for Materials and Molecules by Deringer, Volker L, Bartók, Albert P, Bernstein, Noam, Wilkins, David M, Ceriotti, Michele, Csányi, Gábor

    ISSN: 1520-6890, 1520-6890
    Published: United States 25.08.2021
    Published in Chemical reviews (25.08.2021)
    “…We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computational materials science and chemistry…”
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  17. 17

    Assessing the Use of Probes and Quenchers for Understanding the Reactive Species in Advanced Oxidation Processes by Lei, Yu, Yu, Yafei, Lei, Xin, Liang, Xi, Cheng, ShuangShuang, Ouyang, Gangfeng, Yang, Xin

    ISSN: 1520-5851, 1520-5851
    Published: United States 04.04.2023
    Published in Environmental science & technology (04.04.2023)
    “…Advanced oxidation processes (AOPs) are increasingly applied in water and wastewater treatment…”
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  18. 18

    Effect of inorganic anions on the performance of advanced oxidation processes for degradation of organic contaminants by Wang, Jianlong, Wang, Shizong

    ISSN: 1385-8947, 1873-3212
    Published: Elsevier B.V 01.05.2021
    “… Inorganic anions, such as chloridion, carbonate, phosphate, sulfate and nitrate are ubiquitous in water, they will react with hydroxyl radical and sulfate radical produced during advanced oxidation processes (AOPs…”
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  19. 19

    MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation by Tournier, J-Donald, Smith, Robert, Raffelt, David, Tabbara, Rami, Dhollander, Thijs, Pietsch, Maximilian, Christiaens, Daan, Jeurissen, Ben, Yeh, Chun-Hung, Connelly, Alan

    ISSN: 1053-8119, 1095-9572, 1095-9572
    Published: United States Elsevier Inc 15.11.2019
    Published in NeuroImage (Orlando, Fla.) (15.11.2019)
    “…MRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualisation, with a particular emphasis on the investigation of the brain using diffusion MRI…”
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  20. 20

    A review of the recent advances on the treatment of industrial wastewaters by Sulfate Radical-based Advanced Oxidation Processes (SR-AOPs) by Giannakis, Stefanos, Lin, Kun-Yi Andrew, Ghanbari, Farshid

    ISSN: 1385-8947, 1873-3212
    Published: Elsevier B.V 15.02.2021
    “… Over the last years, Sulfate Radical-based Advanced Oxidation Processes (SR-AOPs) have received considerable attention due to their high versatility and efficacy in disinfection and decontamination…”
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