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  1. 52001

    ALMA Detection of [O iii] 88 μm at z = 12.33: Exploring the Nature and Evolution of GHZ2 as a Massive Compact Stellar System by Jorge A. Zavala, Tom Bakx, Ikki Mitsuhashi, Marco Castellano, Antonello Calabro, Hollis Akins, Veronique Buat, Caitlin M. Casey, David Fernandez-Arenas, Maximilien Franco, Adriano Fontana, Bunyo Hatsukade, Luis C. Ho, Ryota Ikeda, Jeyhan Kartaltepe, Anton M. Koekemoer, Jed McKinney, Lorenzo Napolitano, Pablo G. Pérez-González, Paola Santini, Stephen Serjeant, Elena Terlevich, Roberto Terlevich, L. Y. Aaron Yung

    Published 2024-01-01
    “…The existence of these massive starburst systems 13.3 Gyr ago might explain the origin of today’s globular clusters, a long-standing question in astronomy. To test this, we present observational probes to investigate whether sources like GHZ2 are linked to the formation of today’s globular clusters or other more massive compact stellar systems.…”
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  2. 52002
  3. 52003

    Mitigating Polarization Leakage in Gas Pixel Detectors through Hybrid Machine Learning and Analytic Event Reconstruction by Nicoló Cibrario, Michela Negro, Raffaella Bonino, Nikita Moriakov, Luca Baldini, Niccoló Di Lalla, Alessandro Di Marco, Sergio Fabiani, Andrea Frassá, Alessio Gorgi, Fabio La Monaca, Luca Latronico, Simone Maldera, Alberto Manfreda, Fabio Muleri, Nicola Omodei, John Rankin, Carmelo Sgró, Stefano Silvestri, Paolo Soffitta, Stefano Tugliani

    Published 2025-01-01
    “…Additionally, we demonstrated the algorithm’s effectiveness in reducing the polarization leakage effect through the analysis of the IXPE observation of the supernova remnant G21.5-0.9. By enabling more reliable polarization measurements, this method can potentially yield deeper insights into the magnetic field structures, particle acceleration processes, and emission mechanisms at work within extended X-ray sources.…”
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  4. 52004
  5. 52005

    SPARCL1 and NT‐proBNP as biomarkers of right ventricular‐to‐pulmonary artery uncoupling in pulmonary hypertension by Oliver Dörr, Stanislav Keranov, Paulina vanWickern, Holger Nef, Christian Hamm, Pascal Bauer, Christian Troidl, Samuel Sossalla, Sandra Voss, Christoph Liebetrau, Manuel J. Richter, Henning Gall, Werner Seeger, Ardeschir Ghofrani, Athiththan Yogeswaran, Khodr Tello

    Published 2025-04-01
    “…Results Our cohort had more females with IPAH than the control group (64% vs. 35%; P = 0.01) and was older [69 (interquartile range, IQR 57–76) vs. 51 (IQR 35–62) years; P < 0.001]. …”
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  6. 52006
  7. 52007
  8. 52008
  9. 52009
  10. 52010
  11. 52011

    Energy renovation rates in the Netherlands – comparing long and short term prediction methods by Faidra Filippidou, Nina Holck Sandberg, Igor Sartori, Nico Nieboer, Magnus Inderberg Vestrum, Jan Sandstad Næss, Helge Brattebø

    Published 2018-12-01
    “…However, at current rates it is claimed that more than 100 years will be needed to renovate the EU building stock (European Commission 2016). …”
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  12. 52012

    The Effect of Virtual Tour on the Intention to Book Tourist Destination by Manijeh Haghighinasab, Samira Narimanyfandoghloui, Nazila Niakan Lahiji

    Published 2025-03-01
    “…Abstract Considering the global and competitive market that exists in the tourism industry, the managers and decision makers of this field are forced to pay attention and use new tools to attract more tourists to their tourist attractions and places, which is one of these tools. …”
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  13. 52013

    Impacts of pre-pregnancy exposure to per- and polyfluoroalkyl substances on menstrual characteristics among women undergoing assisted reproductive technology by Huyi TAO, Yujie CAO, Yitao PAN, Jiuru ZHAO, Zhiwei LIU, Yu GAO, Ying TIAN

    Published 2025-06-01
    “…BackgroundPer- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants widely used in various products, leading to population exposure and long-term accumulation. At present, there is a lack of research on the relationships between pre-pregnancy PFAS and menstrual characteristics among women undergoing assisted reproductive technology (ART) in China. …”
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  14. 52014

    Stopping anticoagulation for isolated or incidental subsegmental pulmonary embolism: the challenges and lessons from the STOPAPE RCT by Daniel Lasserson, Pooja Gaddu, Samir Mehta, Agnieszka Ignatowicz, Sheila Greenfield, Clare Prince, Carole Cummins, Graham Robinson, Jonathan Rodrigues, Simon Noble, Susan Jowett, Mark Toshner, Michael Newnham, Alice Turner

    Published 2025-04-01
    “…Funding This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR128073. …”
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  15. 52015

    Intradialytic non-invasive hemodynamic monitoring: usefulness of cardiac preload values in predicting hemodynamic instability by María Ángeles Fernández Rojo, Rafael Díaz-Tejeiro Izquierdo, Mario Vaquero Alonso, Dabaiba Regidor Rodríguez, Laura Cueto Bravo, Iván Carmena Rodríguez, David Carro Herrero, Carlos Jesús Cabeza Reina, Francisco Javier Ahijado Hormigos

    Published 2024-11-01
    “…Patients who started the session with lower preload (ΔSV after infusion of 250 cc ≥ 10%) more frequently developed IDH (p < 0.001). Conclusions: Non-invasive hemodynamic monitoring and preload data may constitute a valid tool in managing the volume status of HD patients and preventing IDH. …”
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  16. 52016

    Non-lethal sonodynamic therapy mitigates hypertensive renal fibrosis through the PI3K/AKT/mTORC1-autophagy pathway by DanDan Liu, Hui Wang, Jialong Li, Siqi Sheng, Shu Wang, Ye Tian

    Published 2025-02-01
    “…The deficiency of autophagy will increase the sensitivity of the kidney to the damage, leading to impaired renal function, accumulation of damaged mitochondria and more severe of renal fibrosis. However, enhancing autophagy by activating the PI3K/AKT, AMPK, and mTOR pathways, improves podocyte injury and renal pathological changes, and ameliorates renal function. …”
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  17. 52017
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  19. 52019
  20. 52020

    Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

    Published 2025-01-01
    “…Accurate prediction and in-depth understanding of deformation are essential for maintaining structural safety. However, at the present stage, the dam prediction model based on machine learning mostly adopts the means of data preprocessing, using optimization algorithm, and using the model's characteristics to stack multiple models, lacking in in-depth consideration of the physical mechanism of dam deformation. …”
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