Showing 1,021 - 1,040 results of 1,042 for search 'input quantitative', query time: 0.09s Refine Results
  1. 1021
  2. 1022

    Expression characteristics and functional identification of PpD2 gene in peach (Prunus persica) by XIE Hefang, ZHANG Yajia, ZHANG Junjie, LIAN Xiaodong, ZHANG Haipeng, CHENG Jun, WANG Wei, HOU Nan, WANG Lei, ZHENG Xianbo, FENG Jiancan, WANG Xiaobei, TAN Bin

    Published 2025-06-01
    “…Optimizing tree architecture can enhance light interception, reduce labor inputs, and improve fruit quality, thereby contributing to sustainable peach production. …”
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    Article
  3. 1023

    Integrating Palliative Care and Heart Failure: the PalliatHeartSynthesis realist synthesis by Tracey McConnell, Carolyn Blair, Geoff Wong, Claire Duddy, Clare Howie, Loreena Hill, Joanne Reid

    Published 2024-09-01
    “…Study selection The initial inclusion and exclusion criteria for the review were deliberately broad as we aimed to identify all relevant quantitative, qualitative, mixed-methods and non-empirical documents relating to HF and PC. …”
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    Article
  4. 1024

    Local connections among excitatory neurons underlie characteristics of enriched environment exposure-induced neuronal response modulation in layers 2/3 of the mouse V1 by Nobuhiko Wagatsuma, Yuka Terada, Hiroyuki Okuno, Natsumi Ageta-Ishihara

    Published 2025-02-01
    “…Model simulations with various inputs mimicking physiological conditions for SH and EE exposure quantitatively reproduced the experimentally observed activity modulation induced by EE exposure. …”
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    Article
  5. 1025

    The composition and optical characteristics of Marine aerosols by Yi Yizhe, Zhang Yiwen

    Published 2025-01-01
    “…Analytical results demonstrate the competitive interplay between marine biogenic sources (phytoplankton-derived organic precursors) and terrestrial inputs (anthropogenic combustion products) in shaping coastal organic carbon profiles. …”
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    Article
  6. 1026

    Use of Dea as a Measure of Efficiency of Activities for Road Safety at The Provincial Level by Teresa Gądek-Hawlena

    Published 2025-07-01
    “…Material and methods The CCR model based on inputs in the sense of Farell-Debreu was used to evaluate efficiency. …”
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    Article
  7. 1027

    Selecting the severest seismic design ground motions for cut-and-cover underground structures by Wei Yu, Zhi-Yi Chen, Zhi-Qian Liu

    Published 2025-06-01
    “…The ground motions in this alternative database are employed as inputs for nonlinear dynamic analysis of underground structures. …”
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    Article
  8. 1028

    Modeling reveals bistability and low-pass filtering in the network module determining blood stem cell fate. by Jatin Narula, Aileen M Smith, Berthold Gottgens, Oleg A Igoshin

    Published 2010-05-01
    “…Combinatorial regulation of gene expression is ubiquitous in eukaryotes with multiple inputs converging on regulatory control elements. …”
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    Article
  9. 1029

    A Mathematical Neutrosophic Offset Framework with Upside-Down Logics for Quality Evaluation of Multi-Sensor Intelligent Vehicle Environment Perception Systems by Qingde Li, Xiangheng Kong

    Published 2025-07-01
    “…The proposed model allows sensor readings to exceed the conventional membership bounds [0,1], accommodating over-determined or negative-impact inputs through offset membership values. Moreover, by applying upside-down logic reasoning, we reinterpret contradictory sensor data within a broader logical spectrum. …”
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    Article
  10. 1030

    Research on deep learning-based fracture network inversion method for shale gas reservoirs by CHEN Weiming, JIANG Lin, LUO Tongtong, LI Yue, WANG Jianhua

    Published 2025-02-01
    “…The core of this method is to quantitatively analyze the fracturing curve characteristic parameters based on the site fracturing curve data, using strongly correlated indicators of fracture network parameters as inputs and microseismic monitoring fracture network parameters (including length, width, height, and volume) as target outputs. …”
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    Article
  11. 1031

    A novel MRI PET image fusion using shearlet transform and pulse coded neural network by Vella Satyanarayana, P. Mohanaiah

    Published 2025-02-01
    “…Last but not least, an inverse shearlet transform reconstructs the fused image using the processed sub-bands as inputs. Entropy, standard deviation, and the structural similarity index (SSIM) have been used quantitatively to assess the performance of the proposed fusion scheme. …”
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    Article
  12. 1032

    Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity. by Maria Pikoula, Constantinos Kallis, Sephora Madjiheurem, Jennifer K Quint, Mona Bafadhel, Spiros Denaxas

    Published 2023-01-01
    “…<h4>Background</h4>The ever-growing size, breadth, and availability of patient data allows for a wide variety of clinical features to serve as inputs for phenotype discovery using cluster analysis. …”
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    Article
  13. 1033

    RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

    Published 2025-03-01
    “…Analyzing root growth quantitatively is increasingly vital for evaluating a plant's resilience to abiotic stresses and its efficiency in nutrient and water absorption. …”
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    Article
  14. 1034

    Pix2Pix-Based Modelling of Urban Morphogenesis and Its Linkage to Local Climate Zones and Urban Heat Islands in Chinese Megacities by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Qingchan Wang

    Published 2025-04-01
    “…By integrating urban morphological inputs from eight representative Chinese metropolises, the model’s efficacy was assessed both qualitatively and quantitatively, achieving an RMSE of 0.187, an R<sup>2</sup> of 0.78, and a PSNR of 14.592. …”
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    Article
  15. 1035

    Soil Erosion Characteristics of Sugarcane-Growing Watershed Based on RUSLE by Liu Xiaomei, Li Yong, Huang Zhigang, Deng Yusong, Guo Hao, He Qingheng

    Published 2022-06-01
    “…[Conclusion] The RUSLE model can be used to estimate soil erosion and soil erosion intensity distribution characteristics of different slopes and land use types in sugarcane-growing areas by inputting relevant parameters and processing data with software. …”
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    Article
  16. 1036

    Enhancing Kármán Vortex Street Detection via Auxiliary Networks Incorporating Key Atmospheric Parameters by Yihan Zhang, Zhi Zhang, Qiao Su, Chaoyue Wu, Yuqi Zhang, Daoyi Chen

    Published 2025-03-01
    “…Utilizing reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF-ERA5), representative atmospheric features are extracted and subjected to feature permutation importance (PFI) analysis to quantitatively evaluate the influence of each parameter on the detection task. …”
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    Article
  17. 1037

    Biosensor-based approach identifies four distinct calmodulin-binding domains in the G protein-coupled estrogen receptor 1. by Quang-Kim Tran, Mark Vermeer

    Published 2014-01-01
    “…The G protein-coupled estrogen receptor 1 (GPER) has been demonstrated to participate in many cellular functions, but its regulatory inputs are not clearly understood. Here we describe a new approach that identifies GPER as a calmodulin-binding protein, locates interaction sites, and characterizes their binding properties. …”
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    Article
  18. 1038

    Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique by Chao Zhou, Yue Wang, Ying Cao, Ramesh P. Singh, Bayes Ahmed, Mahdi Motagh, Yang Wang, Ling Chen, Guangchao Tan, Shanshan Li

    Published 2024-01-01
    “…Twelve influencing factors were selected as inputs for LSM, and the relationship between each causal factor and landslide spatial development was quantitatively analyzed. …”
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    Article
  19. 1039
  20. 1040

    Exploring the influence of team dynamics and communication relating to infection care, on team reasoning in the ICU using sociograms by Ms Candice Bonaconsa, Associate Professor Esmita Charani, Dr Dena Van den Bergh, Professor Marc Mendelson, Professor Ivan Joubert

    Published 2025-03-01
    “…Among them, microbiologists contribute 92% of inputs to group reasoning on infection care despite attending less than one fifth of discussions.Nineteen percent (368/1900) of discussions involve planning patient care, led to 54% requiring clinical action. …”
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    Article