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  1. 15481
  2. 15482

    COSP-RTTOV-1.0: flexible radiation diagnostics to enable new science applications in model evaluation, climate change detection, and satellite mission design by J. K. Shaw, J. K. Shaw, D. J. Swales, S. DeSouza-Machado, D. D. Turner, J. E. Kay, J. E. Kay, D. P. Schneider

    Published 2025-08-01
    “…We show additional applications in climate change detection using the NASA Atmospheric Infra-Red Sounder (AIRS) instrument and observing system simulation experiments using the NASA PREFIRE mission. …”
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  3. 15483

    Effect of Foliar Application of GA3 on Morphological Features of Popular Cultivars of Apple (Malus×Domestica Borkh.) under Nursery Conditions in Mid-hill Asia by Palak Sharma, C. L. Sharma, Neeraj Sankhyan, Vibhas

    Published 2025-07-01
    “… The experiment was conducted during April, 2018 to February, 2019 at Dr YS Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh, India to study the effect of foliar applications of GA3 on nursery plants of three different cultivars of apple, viz. …”
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  4. 15484

    RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

    Published 2021-05-01
    “…The proposed CAD system completely eliminates the need for extensive user intervention, enabling the processing of large amounts of image data with robust and highly accurate results.…”
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  5. 15485
  6. 15486

    Practical Success of Biomanipulation using Filter-Feeding Fish to Control Cyanobacteria Blooms: A Synthesis of Decades of Research and Application in a Subtropical Hypereutrophic L... by Ping Xie, Jiankang Liu

    Published 2001-01-01
    “…The results suggest the applicability of a new food-web manipulation (increased stocking with filter-feeding fish) for controlling cyanobacteria blooms in hypereutrophic lakes. …”
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  7. 15487
  8. 15488

    Application of spectral index-based contour mapping for non-destructive ripeness monitoring in water stressed <i>Vitis vinifera</i> L. (Cabernet-Sauvignon) by María Ignacia González, Samuel Ortega-Farias, Carlos Poblete-Echeverria, Maria José Gamboa, Sebastián Vargas

    Published 2025-05-01
    “…Cabernet-Sauvignon) under four levels of water application. Hyperspectral reflectance data (350–2500 nm) were acquired from grape berries during two consecutive growing seasons (2019/20 and 2020/21) to identify optimal wavelength combinations using contour maps. …”
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  9. 15489

    Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China by Feng Han, Meiqu Lu, Donghong Qin, Guitao Zheng, Guihong Zeng, Yan Tan, Zhongyang Wu, Haijian Lu, Jun Wang, Yirong Deng, Hui He

    Published 2025-12-01
    “…The findings offer practical implications for policymakers aiming to stabilize housing markets, improve affordability, and guide data-informed infrastructure investments. …”
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  10. 15490
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    Changes in soil organic matter content and quality after application of different organic and mineral fertilisers in 27 years long-term field experiments on luvisol by Jiří Balík, Pavel Suran, Jindřich Černý, Ondřej Sedlář, Martin Kulhánek, Simona Procházková

    Published 2025-03-01
    “…For the evaluation of the fertiliser effect, data from both sites were pooled together. The farmyard manure application in the F1 treatment showed the best potential for improving the SOM quality (the highest CHA, humification rate, humification index, TG content, and WSA). …”
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  12. 15492

    Fire Intensity and spRead forecAst (FIRA): A Machine Learning Based Fire Spread Prediction Model for Air Quality Forecasting Application by Wei‐Ting Hung, Barry Baker, Patrick C. Campbell, Youhua Tang, Ravan Ahmadov, Johana Romero‐Alvarez, Haiqin Li, Jordan Schnell

    Published 2025-03-01
    “…In this study, data sets in 2020 over the continental United States (CONUS) and a historical California fire in 2024 are used for model training and evaluation. …”
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  13. 15493

    The applicability of a structured learning programme focusing on improving observational competencies to strengthen patient safety: a qualitative study with professionals in primar... by Emilie Alfstad, Veronica Lockertsen, Anne-Kari Johannessen, Anne Werner

    Published 2025-04-01
    “…Specifically, we focused on their reflections on its applicability in clinical practice. Design Aqualitative study was conducted. …”
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  14. 15494

    Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review by Duygu Topaloğlu, Olcay Polat

    Published 2025-07-01
    “…Future research should prioritize neglected areas such as pediatric care modeling and therapy response, utilizing advanced ML techniques and multimodal data integration to enhance the outcomes of ICU patients.…”
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  15. 15495

    Experimental investigation of thermal characteristics of a 12S1P Li-ion NMC-21700 battery module under different environments for EV applications by Jay Patel, Rajesh Patel, Rajat Saxena, Abhishek Nair

    Published 2025-03-01
    “…Based on this heat generation data, several experiments are performed on the 4 × 3 battery module under different thermal environments. …”
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    Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review by Erick Javier Argüello-Prada, Javier Ferney Castillo García

    Published 2024-11-01
    “…This narrative review examines the application of machine learning techniques for the reference signal-less detection of MAs in PPG signals. …”
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  19. 15499
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    Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data fro... by Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Stephen Pilling, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham

    Published 2024-06-01
    “…On secondary analysis, being in a relationship was associated with reduced risk of relapse (OR: 0.43 (0.28–0.67), p&lt;0.001); this remained statistically significant after correction for multiple significance testing.Conclusions We could not predict risk of depression relapse with sufficient accuracy in primary care data, using routinely recorded measures. Relationship status warrants further research to explore its role as a prognostic factor for relapse.Clinical implications Until we can accurately stratify patients according to risk of relapse, a universal approach to relapse prevention may be most beneficial, either during acute-phase treatment or post remission. …”
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