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  1. 4701
  2. 4702
  3. 4703

    The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma by Wan-Bin He, Chuan Zhou, Zhi-Jun Yang, Yun-Feng Zhang, Wen-Bo Zhang, Han He, Jia Wang, Feng-Hai Zhou

    Published 2025-01-01
    “…The results of the best machine learning model were then fused with those of the deep learning model to create a combined model. …”
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  4. 4704

    Identifying Who Benefits the Most from a Community Health Worker-Led Multicomponent Intervention for Hypertension by Meng Pan, Andrea Beratarrechea, Rosana Poggio, Hua He, Chung-Shiuan Chen, Jing Chen, Vilma Irazola, Adolfo Rubinstein, Jiang He, Katherine T. Mills

    Published 2024-01-01
    “…Women (p=0.01), those who were physically inactive (p=0.03), and those not taking antihypertensive medications at baseline (p=0.001) had the greatest BP response. …”
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  5. 4705

    The Effect of Yttrium Addition on the Microstructures and Electrical Properties of CuMn Alloy Thin Films by Ho-Yun Lee, Chi-Wei He, Ying-Chieh Lee

    Published 2019-01-01
    “…In this study, we fabricated thin-film resistors using CuMn and yttrium targets by DC/RF magnetron cosputtering. …”
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  6. 4706

    Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy by Han-han He, Xiao-ge Zhang, Fen-fang Chen

    Published 2025-01-01
    “…The immune infiltration analysis showed that there was a significantly increased abundance of macrophages and a decreased abundance of CD4 and CD8 T cells, including Tr1, nTreg, Tfh, CD8 naïve, cytotoxic T cells and effector memory T cells in the epilepsy group. …”
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  7. 4707

    Experimental Study of the Composition and Structure of Granular Media in the Shear Bands Based on the HHC-Granular Model by Guang-jin Wang, Xiang-yun Kong, Chun-he Yang

    Published 2014-01-01
    “…Therefore, on the basis of the laboratory tests with the coarse grained soil, the HHC-Granular model, which could simulate the no sorting and random distribution of different size particles in the coarse-grained soil, was developed by use of cellular automata method. …”
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  8. 4708

    Optimization of the Critical Diameter and Average Path Length of Social Networks by Haifeng Du, Xiaochen He, Wei Du, Marcus W. Feldman

    Published 2017-01-01
    “…We propose a mathematic model based on a memetic algorithm. …”
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  9. 4709

    Application of EMD-Based SVD and SVM to Coal-Gangue Interface Detection by Wei Liu, Kai He, Qun Gao, Cheng-yin Liu

    Published 2014-01-01
    “…This paper proposes a new vibration signal analysis approach to detecting the coal-gangue interface based on singular value decomposition (SVD) techniques and support vector machines (SVMs). Due to the nonstationary characteristics in vibration signals of the tail boom support of the longwall mining machine in this complicated environment, the empirical mode decomposition (EMD) is used to decompose the raw vibration signals into a number of intrinsic mode functions (IMFs) by which the initial feature vector matrices can be formed automatically. …”
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  10. 4710

    Performance evaluation metric for statistical learning trading strategies by Jiawei He, Roman N. Makarov, Jake Tuero, Zilin Wang

    Published 2024-12-01
    “…We analyze how the sentiment of financial news can be used to predict stock returns and build profitable trading strategies. …”
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    Article
  11. 4711

    ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

    Published 2025-01-01
    “…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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  12. 4712

    Crystal structure of catena-poly[(μ2-isophthalato-k3 O,O′:O″)(4-(4-pyridyl)-2,5-dipyrazylpyridine-k3 N,N′,N″)cobalt(II)] trihydrate C26H22N6O7Co1 by He Chao-Jun, Wang Zhou-Qin, Wang Yu-Fang

    Published 2023-08-01
    “…C26H22N6O7Co, triclinic, P1‾ $P\overline{1}$ (no. 2), a = 9.0033(4) Å, b = 10.1338(5) Å, c = 15.5122(8) Å, α = 96.164(4)°, β = 100.835(4)∘ $100.835{(4)}^{\circ }$ , γ = 113.867(5)∘ $113.867{(5)}^{\circ }$ , V = 1244.20(11) Å3, Z = 2, Rgt (F) = 0.0473, wRref (F 2) = 0.1023, T = 293(2) K.…”
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  13. 4713
  14. 4714

    Estimating the Effectiveness of Pfizer and Sinopharm Vaccines and their Relationship to Occupation, Residence, Smoking, and Body Mass Index During Pregnancy Smoking by Shahad Th. Jameel, Asmaa Haseeb Hwaid, Abdulrazak SH. Hasan

    Published 2025-01-01
    “…Written consent was obtained by the Research Ethics Committee in the Diyala Health Department(DHD/No-39072/Date-31/8/2022).The researchers collected the data using a specific questionnaire they created after conducting a brief interview with the participants. …”
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  15. 4715

    Roles of Interferons in Pregnant Women with Dengue Infection: Protective or Dangerous Factors by Hao Zhang, Zhiyi He, Wenting Zeng, Hong-Juan Peng

    Published 2017-01-01
    “…Dengue is much more prevalent in pregnant women compared with other populations. The severity of dengue is correlated with the level of IFNs, while the serum IFN level must be sufficiently high to maintain the pregnancy and to inhibit virus replication.…”
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  16. 4716
  17. 4717

    CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

    Published 2025-01-01
    “…Lu Qian,1,&ast; BinHai Fu,2,&ast; Hong He,2 Shan Liu,1 RenCai Lu2 1Department of Pathology, the First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China; 2Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: RenCai Lu, Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, Yunnan, 650032, People’s Republic of China, Tel +86 087163614503, Email lrc_09@126.comObjective: This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses.Materials and Methods: A total of 122 patients with pathologically confirmed benign (n=47) or malignant (n=75) solid-containing renal masses were enrolled in this study. …”
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  18. 4718

    A Novel DBSCAN Based on Binary Local Sensitive Hashing and Binary-KNN Representation by Qing He, Hai Xia Gu, Qin Wei, Xu Wang

    Published 2017-01-01
    “…Unlike the original DBSCAN, we first use the binary local sensitive hashing (LSH) which enables faster region query for the k neighbors of a data point. …”
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  19. 4719

    The Effect of the Method of Preparation on the Textural, Acidic and Catalytic Properties of Chromia–Alumina Catalysts by Th. El-Nabarawy, L.B. Khalil, A. M. Youssef

    Published 1996-10-01
    “…The same was found true for the surface acidities as determined by the chemisorption of pyridine. …”
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  20. 4720

    An Effective Gear Fault Diagnosis Method Based on Singular Value Decomposition and Frequency Slice Wavelet Transform by Fu-Cheng Zhou, Gui-Ji Tang, Yu-Ling He

    Published 2016-01-01
    “…Then, the denoised signal was further processed by the FSWT to obtain the time-frequency spectrum of the passband. Finally, the detailed analysis was carried out in the time-frequency area with concentrated energy, and the signal was reconstructed by the inverse-FSWT. …”
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