Showing 22,281 - 22,300 results of 22,649 for search '"future"', query time: 0.12s Refine Results
  1. 22281
  2. 22282
  3. 22283
  4. 22284

    From plants to patterns: Constructing a comprehensive online strontium isoscape for Belgium (IsoBel) using high density grid mapping by Amanda Sengeløv, Giacomo Capuzzo, Sarah Dalle, Hannah F. James, Charlotte Sabaux, Elisavet Stamataki, Marta Hlad, Carina T. Gerritzen, Emma M. Legrand, Barbara Veselka, Guy De Mulder, Rica Annaert, Mathieu Boudin, Kevin Salesse, Eugène Warmenbol, Nadine Mattielli, Christophe Snoeck, Martine Vercauteren

    Published 2025-01-01
    “…These findings provide valuable insights into the geographic distribution of strontium isotopes within Belgium and offer a foundation for future studies in archaeology, ecology, environmental studies, food sciences and forensics. …”
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  5. 22285

    Urban ozone formation and sensitivities to volatile chemical products, cooking emissions, and NO<sub><i>x</i></sub> upwind of and within two Los Angeles Basin cities by C. E. Stockwell, M. M. Coggon, R. H. Schwantes, C. Harkins, C. Harkins, B. Verreyken, B. Verreyken, B. Verreyken, C. Lyu, C. Lyu, Q. Zhu, Q. Zhu, Q. Zhu, L. Xu, L. Xu, L. Xu, J. B. Gilman, A. Lamplugh, A. Lamplugh, A. Lamplugh, J. Peischl, J. Peischl, J. Peischl, M. A. Robinson, M. A. Robinson, P. R. Veres, P. R. Veres, M. Li, M. Li, A. W. Rollins, K. Zuraski, K. Zuraski, S. Baidar, S. Baidar, S. Liu, T. Kuwayama, S. S. Brown, B. C. McDonald, C. Warneke

    Published 2025-01-01
    “…Further sensitivity analyses show that using VOCs represented by a separate state inventory requires steeper NO<span class="inline-formula"><sub><i>x</i></sub></span> reductions to transition to NO<span class="inline-formula"><sub><i>x</i></sub></span> sensitivity, further suggesting that accurately representing VOC reactivity in inventories is critical to determining the effectiveness of future NO<span class="inline-formula"><sub><i>x</i></sub></span> reduction policies.…”
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  6. 22286
  7. 22287
  8. 22288

    Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks by M. Reuter, M. Hilker, S. Noël, A. Di Noia, M. Weimer, O. Schneising, M. Buchwitz, H. Bovensmann, J. P. Burrows, H. Bösch, R. Lang

    Published 2025-01-01
    “…We created a novel hybrid learning approach that combines advantages of simulation-based and measurement-based training data to ensure coverage of a wide range of XCO<span class="inline-formula"><sub>2</sub></span> and XCH<span class="inline-formula"><sub>4</sub></span> values, making the training data representative of future concentrations as well. The algorithm's postprocessing is designed to achieve a high data yield of about 80 % of all cloud-free soundings. …”
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  9. 22289

    Determining the Heterotic Groups of Selected Grain Maize (Zea mays L.) Inbred Lines using Morphological and Phenological Traits by Mahnaz Oroojloo, Sara Dezhsetan, Behzad Ahmadi, Mohammadreza Shiri, Ali Moghaddam

    Published 2024-11-01
    “…Considering that the heterotic groups have not been determined for the selected maize inbred lines in Iran, this research aims to investigate genetic diversity and determine the heterotic groups in the selected maize lines to make maximum use of heterosis for future breeding programs. Moreover, this research also seeks to classify the selected Iranian maize inbred lines into early, medium, and late ripening groups based on the phenological traits. …”
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  10. 22290

    Biofabrication of brain-like living tissue: structure to intelligence by Ling Wang, Sen Wang, Yingjie Liu, Bowen Zhang, Zhaoyu Pan, Luge Bai, Siqi Yao, Chenrui Zhang, Huangfan Xie, Jiankang He, Dichen Li

    Published 2025-01-01
    “…Finally, the paper concludes with future perspectives on the biomanufacturing of brain-like tissue transitioning from structural manufacturing to intelligent functioning.…”
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  11. 22291

    Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

    Published 2025-02-01
    “…An NLP-based definition of Long COVID identified more patients than diagnosis codes and should be considered in future studies.…”
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  12. 22292

    Comments on: “Early High-Titer Convalescent Plasma Therapy in Patients with Moderate and Severe COVID-19” [Transfusion and Apheresis Science 61 (2022) 103321] by Seyed Reza Hosseiniara

    Published 2024-11-01
    “…Eshghi's role can be found in the "Credit Authorship Contribution Statement" section.1 This dual role raises important questions about potential conflicts of interest, which could lead to a biased review of the research proposal and ultimately undermine the credibility of the findings in the eyes of the public.Given these considerations, the assertion that convalescent plasma therapy is beneficial for Iranian patients with moderate COVID-19 is, at the very least, questionable. Future research should build upon the work of Fazeli et al.,1 considering the concerns we have raised. …”
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  13. 22293

    Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods by Ivan O. Meshkov, Alexander P. Koturgin, Pavel V. Ershov, Liubov A. Safonova, Julia A. Remizova, Valentina V. Maksyutina, Ekaterina D. Maralova, Vasilisa A. Astafieva, Alexey A. Ivashechkin, Boris D. Ignatiev, Antonida V. Makhotenko, Ekaterina A. Snigir, Valentin V. Makarov, Vladimir S. Yudin, Anton A. Keskinov, Sergey M. Yudin, Anna S. Makarova, Veronika I. Skvortsova

    Published 2025-01-01
    “…The current method for LC detection has some advantages for future clinical implementation as a decision-making support system due to the performance of the CM requires data exclusively from NGS-analysis of blood plasma cfDNA fragmentation; the accuracy of the CM does not depend on any additional clinical data; the CM is highly interpretable and traceable; CM has appropriate modular architecture.…”
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  14. 22294

    Lidar Network for Temperature and Wind Measurements in the Mesosphere and Lower Thermosphere Region by Y. Yang, F. Li, X. Cheng, G. Yang, D. Lyu, X. Lin, L. Liu, X. Fang, J. Zheng, L. Du, W. Wang, L. Ren, J. Wang, J. Liang, K. Ji, L. Xu, Z. Chen, K. Ji, H. Zheng, X. Wang, Y. Wang, J. Jiao, X. Wang, X. Xue, Y. Xia, Y. Li, Z. Lin, L. Chen, Z. Chen, J. Xu, G. Li, L. Hu, S. Gong

    Published 2024-10-01
    “…This lidar network offers horizontal perspectives on large scale that a single‐station lidar system can't provide. Its future observations are expected to advance the understanding of atmospheric waves by studying wave propagation, chemical‐dynamical coupling processes and the horizonal structure of in the MLT region.…”
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  15. 22295

    The burden of acute respiratory infection attributable to fine particulate matter brought by dust storms among children under 5 years of age in low- and middle-income countries by Hong Lu, Mingkun Tong, Ruohan Wang, Ning Kang, Xueqiu Ni, Jianyu Deng, Jiajianghui Li, Pengfei Li, Tianjia Guan, Tong Zhu, Tao Xue

    Published 2025-02-01
    “…However, the relationship used to evaluate the disease burden is mainly based on the total PM2.5 concentration, neglecting the specific effect of dust PM2.5 distinct from other PM2.5.This study aimed to develop a dust-specific exposure–response function (ERF) of ARI in children <5 years of age (U5-ARI) for future risk assessments. Method: We combined population data derived from the Demographic and Health Survey covering 53 LMICs, with environmental data, including the gridded concentration of dust PM2.5. …”
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  16. 22296

    Impact of variations in airborne microbiota on pneumonia infection: An exploratory study by Li Zhou, Chenchen Song, Lianlian Zhao, Zhi Guo, Yuhan Lei, Yunlin Han, Kai Gao, Yanfeng Xu, Zhiguang Xiang, Baicun Li, Jianguo Guo

    Published 2025-02-01
    “…Conclusion: This study demonstrated the significant and systemic impact of air microbiota structure differences on health. Future research should explore the underlying mechanisms to enhance our understanding of the air-environment-health relationship and identify interventions for improving public health strategies.…”
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  17. 22297
  18. 22298
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  20. 22300

    New Horizons In The Treatment Of Metastatic Castrate Resistant Prostate Cancer by Zein El Amir

    Published 2023-06-01
    “…If anything, the conditions of anatomy learning, despite the incorporation of novel technologies, are worsening in medical institutions, leading to potentially grave consequences for the future of healthcare. The stakeholders need to take urgent and applicable steps in the right direction. …”
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