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  1. 1201

    Mixed fungal strains challenge host resistance: insights into Magnaporthiopsis maydis pathogenicity in maize by Galia Shofman, Galia Shofman, Ofir Degani, Ofir Degani

    Published 2025-01-01
    “…Despite efforts to control it through resistant maize varieties, virulent fungal strains might overcome immunity. This study assessed Israeli M. maydis strains with weak, moderate, and highly pathogenic degrees in two open-air pot trials. …”
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    Test of the Equality of Several High-Dimensional Covariance Matrices: A Normal-Reference Approach by Jingyi Wang, Tianming Zhu, Jin-Ting Zhang

    Published 2025-01-01
    “…In response to these challenges, we introduce a novel test statistic utilizing the normal-reference approach. We demonstrate that the null distribution of this test statistic shares the same limiting distribution as a chi-square-type mixture under certain regularity conditions, with the latter reliably estimable from data using the three-cumulant matched chi-square-approximation. …”
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    ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

    Published 2020-01-01
    “…With the rapid development of deep learning, deep convolutional neural networks (CNN) are used to recognize weather conditions on traffic road. …”
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  7. 1207

    Differences in Ocular Biometry Between Short-Axial and Normal-Axial Eyes in the Elderly Japanese by Tanaka T, Nishitsuka K, Obata H

    Published 2025-01-01
    “…The ocular axial length (AL), central corneal thickness (CCT), average anterior corneal radius of curvature (CR), white-to-white (WTW), anterior chamber depth (ACD), and lens thickness (LT) were measured using OA-2000. The short-axial and normal-axial groups (short-axial [SA] and normal-axial [NA] groups) included those with an AL less than 22.5 mm and ranging from 22.5– 26.5 mm, respectively. …”
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    Option Volatility Investment Strategy: The Combination of Neural Network and Classical Volatility Prediction Model by Yuanyang Teng, Yicun Li, Xiaobo Wu

    Published 2022-01-01
    “…This work setup a bridge of previous financial studies and machine learning studies by proposing an algorithm integrating neural network and three traditional volatility models, called “Quantile based neural network and model integration combination algorithm.” …”
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  12. 1212

    Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks by Viera Bartosova, Svetlana Drobyazko, Sergii Bogachov, Olga Afanasieva, Maria Mikhailova

    Published 2022-01-01
    “…The algorithm of functioning of the neural network ranking unit based on Hopfield neural network is built. …”
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  13. 1213

    Multi-objective design of multi-material truss lattices utilizing graph neural networks by Ramón Frey, Michael R. Tucker, Mohamadreza Afrasiabi, Markus Bambach

    Published 2025-01-01
    “…In this work, we propose a novel approach that incorporates material properties as edge features within the graph representation of multi-material truss lattices, utilizing graph neural networks (GNNs) to develop a fast and efficient inverse design framework. …”
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  14. 1214

    Posaconazole: A New Agent for the Prevention and Management of Severe, Refractory or Invasive Fungal Infections by Andrea V Page, W Conrad Liles

    Published 2008-01-01
    “…As the incidence of both common and uncommon fungal infections increases commensurate with the growing population of immunocompromised individuals, posaconazole may ultimately become an important therapeutic option. …”
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  15. 1215

    Estimation of Maximum Daily Fresh Snow Accumulation Using an Artificial Neural Network Model by Gun Lee, Dongkyun Kim, Hyun-Han Kwon, Eunsoo Choi

    Published 2019-01-01
    “…For estimation of maximum daily fresh snow accumulation (MDFSA), a novel model based on an artificial neural network (ANN) was proposed. Daily precipitation, mean temperature, and minimum temperature were used as the input data for the ANN model. …”
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  16. 1216

    Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

    Published 2016-01-01
    “…When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems. Neural network structure and weights threshold are optimized by uniform differential evolution algorithm, and a uniform differential neural network is formed to improve rolling force prediction accuracy in process control system.…”
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  17. 1217

    Fall Detection Based on Continuous Wave Radar Sensor Using Binarized Neural Networks by Hyeongwon Cho, Soongyu Kang, Yunseong Sim, Seongjoo Lee, Yunho Jung

    Published 2025-01-01
    “…In this study, we propose a lightweight fall detection method using a continuous-wave (CW) radar sensor and a binarized neural network (BNN) to meet these requirements. We used a CW radar sensor, which is more affordable than other types of radar sensors, and employed a BNN with binarized features and parameters to reduce memory usage and make the system lighter. …”
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  18. 1218

    Two-Dimensional and Axisymmetric Unsteady Flows due to Normally Expanding or Contracting Parallel Plates by Saeed Dinarvand, Abed Moradi

    Published 2012-01-01
    “…The flow of a viscous incompressible fluid between two parallel plates due to the normal motion of the plates for two cases, the two-dimensional flow case and the axisymmetric flow case, is investigated. …”
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  19. 1219

    Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

    Published 2025-03-01
    “…In this study, we examined plant health prediction through the Normalized Difference Vegetation Index (NDVI) calculated from satellite image derived reflectance values in the near-infrared and red spectra. …”
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  20. 1220

    Dynamic assignment and maintenance of positional identity in the ventral neural tube by the morphogen sonic hedgehog. by Eric Dessaud, Vanessa Ribes, Nikolaos Balaskas, Lin Lin Yang, Alessandra Pierani, Anna Kicheva, Bennett G Novitch, James Briscoe, Noriaki Sasai

    Published 2010-06-01
    “…Together the data suggest a dynamic model for ventral neural tube patterning in which positional information corresponds to the time integral of Shh signalling. …”
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