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  1. 821

    Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion by Zhuo Han, Yongquan Chen

    Published 2024-08-01
    “…Quantitative analysis demonstrated that 82% of the generated samples met the evaluation criteria for standard nursing units. …”
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    Article
  2. 822

    A neurocomputational model of the mismatch negativity. by Falk Lieder, Klaas E Stephan, Jean Daunizeau, Marta I Garrido, Karl J Friston

    Published 2013-01-01
    “…Here, we present a model of the underlying neuronal dynamics based upon the idea that auditory cortex continuously updates a generative model to predict its sensory inputs. The MMN is then modelled as the superposition of the electric fields evoked by neuronal activity reporting prediction errors. …”
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    Article
  3. 823

    Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator. by Eugene T Y Chang, Mark Strong, Richard H Clayton

    Published 2015-01-01
    “…Models of electrical activity in cardiac cells have become important research tools as they can provide a quantitative description of detailed and integrative physiology. …”
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    Article
  4. 824

    Link Characteristics Comparison of Lambertian & Non-Lambertian MIMO-Based 6G Vehicular Visible Light Communications by Jupeng Ding, Chih-Lin I, Jintao Wang, Hui Yang

    Published 2024-12-01
    “…In order to improve the quality of vehicular VLC links and extend their coverage, various multiple input multiple output (MIMO) techniques have been actively introduced into the field of vehicular VLC, demonstrating the corresponding performance gain potential. …”
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    Article
  5. 825

    Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

    Published 2025-03-01
    “…Additionally, Partial Dependence Plots were utilized to quantitatively assess the contribution of each input variable to the CS of UHPC. …”
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    Article
  6. 826

    Nonlinear effects and possible temperature increases in ultrasonic microscopy by J. Wójcik, J. Litniewski, L. Filipczyński, T. Kujawska

    Published 2002-01-01
    “…Therefore, to describe it quantitatively, a numerical model developed by the first author was applied. …”
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    Article
  7. 827

    Nitrogen Fertilization of Grass Leys: Yield Production and Risk of Nitrogen Leaching by Elena Valkama, Katri Rankinen, Perttu Virkajärvi, Tapio Salo, Petri Kapuinen, Eila Turtola

    Published 2019-04-01
    “…(Materials and methods) The authors used meta-analysis to quantitatively summarize 40 N fertilization experiments on perennial grass leys in Finland and assessed the effect of inorganic N fertilization on grass yields and N balances, and further estimated potential to reduce N input and N balances. …”
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    Article
  8. 828

    A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images by Shen Wen, Dong Zhang, Yuting Lei, Yan Yang

    Published 2025-07-01
    “…The network takes superpixel feature matrices and their positional information as input, and classifies superpixels using self-attention modules and convolutional layers. …”
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    Article
  9. 829

    Comparative sustainability investigation on a novel industrial-waste-based soil stabilizer and cement based on life cycle assessment by Jiayi Luo, Feng Yu, Xin Chen, Shuaikang Li

    Published 2025-06-01
    “…The hardening agent is made from industrial waste residues, combined with cement, and improved with polycarboxylate superplasticizers. A comprehensive input-output inventory of the production process was established, and the eFootprint software was employed to model and quantitatively analyze various environmental impact categories, including global warming potential (GWP), abiotic depletion potential (ADP), and human toxicity potential (HTP). …”
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    Article
  10. 830

    A Trend Forecasting Method for the Vibration Signals of Aircraft Engines Combining Enhanced Slice-Level Adaptive Normalization Using Long Short-Term Memory Under Multi-Operating Co... by Jiantao Lu, Kuangzhi Yang, Peng Zhang, Wei Wu, Shunming Li

    Published 2025-03-01
    “…Finally, an LSTM-based forecasting model is constructed to forecast the normalized data from enhanced SAN, serving as input during denormalization. The final results under different operating conditions are the output from denormalization. …”
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    Article
  11. 831

    Simulating fluvial sediment pulses using remote sensing and machine learning: Development of a modeling framework applicable to data rich and scarce regions by Abhinav Sharma, Celso Castro-Bolinaga, Natalie Nelson, Aaron Mittelstet

    Published 2025-06-01
    “…Various combinations of predictor variables, training algorithms including linear regression and additional machine learning methods, and input data availability scenarios were examined to comprehend the factors influencing turbidity prediction on a regional scale. …”
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    Article
  12. 832

    The Analysis and Prioritization of Social Sustainability of Rural Environments (Case Study: Ghal’eh Biaban District Darab Sub-Province) by Saeid Reza Akbarian Ronizi, Rana Shaykh-Baygloo

    Published 2016-03-01
    “…This method requires weighting indicators, so the weight vector was calculated using entropy method whose results assumed as input of RALSPI method. 3- Results and discussion . …”
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    Article
  13. 833

    How public health teams navigate their different roles in alcohol premises licensing: ExILEnS multistakeholder interview findings by Rachel O’Donnell, Andrea Mohan, Richard Purves, Nason Maani, Matt Egan, Niamh Fitzgerald

    Published 2022-08-01
    “…Some of these stakeholders viewed this as being a narrow, ‘nanny state’ approach, whereas others welcomed public health expertise and its evidence-based approach and input. (2) Some public health stakeholders favoured a more passive, ‘supportive’ approach, with some reporting that reducing availability was unachievable. …”
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    Article
  14. 834

    A Novel Proactive Defense Strategy Design for Cyber-Physical Systems in the Presence of FDI Attacks by Yateng Wang, Ziang Wei, Rui Liu

    Published 2025-01-01
    “…Specifically targeting FDI attacks, which compromise system integrity by manipulating sensor and control inputs, watermarking and moving target defense (MTD) mechanisms are integrated. …”
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    Article
  15. 835

    Modeling Sunflower Productivity and Profitability in Relation to Adequate and Limited Sulphur Availability under Semiarid Irrigated Conditions by Parvender Sheoran, O. P. Sheoran, Virender Sardana

    Published 2013-01-01
    “…Sustainable production requires efficient use of inputs maintaining optimum yield and high quality product. …”
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    Article
  16. 836

    Apports du campement villageois de Coubalan (Basse Casamance, Sénégal) sur les activités de maraîchage et d’apiculture by Sadou Bocoum, Abdou Kadri Sambou

    Published 2025-07-01
    “…The camp has both direct and indirect inputs to the horticultural and beekeeping activities in Coubalan. …”
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    Article
  17. 837

    Wykorzystanie metody DEA do pomiaru efektywności liceów ogólnokształcących w Szczecinie by Łukasz Brzezicki

    Published 2020-01-01
    “…In both cases, the number of pedagogical employees was taken into account for the inputs. The lowest efficiency in the areas, both in terms of quantity and quality, was observed in the case of LO Sport Championships in CMS. …”
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    Article
  18. 838

    Warming Trends in Summer Heatwaves by S. C. Chapman, N. W. Watkins, D. A. Stainforth

    Published 2019-02-01
    “…Our analysis takes as inputs average user‐specific heat wave properties. …”
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    Article
  19. 839
  20. 840

    Combined microbial inoculation and reduced inorganic fertilization enhances diversity and functionality in potato rhizosphere microbiome at field scale by Irene Ollio, Raúl Zornoza, Josefa Contreras Gallego, Catalina Egea-Gilabert, Juan A. Fernández, Eva Lloret

    Published 2025-08-01
    “…Conclusion Microbial inoculants offer a promising strategy for reducing chemical fertilizer inputs in semi-arid potato cultivation by enhancing beneficial soil functions, temporarily promoting beneficial microbes, improving nitrogen cycling, and suppressing pathogens, thereby supporting a resilient crop microbiome. …”
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    Article