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  1. 5381

    The Morphological Description Automation of the Optic Nerve Head Boundary in Digital Fundus Images by E. G. Tanaeva, R. G. Khafizov

    Published 2018-10-01
    “…Methods. The proposed method is based on integration algorithm of luminance samples along the diagonal. …”
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    Article
  2. 5382

    Outlier-based identification of copy number variations using targeted resequencing in a small cohort of patients with Tetralogy of Fallot. by Vikas Bansal, Cornelia Dorn, Marcel Grunert, Sabine Klaassen, Roland Hetzer, Felix Berger, Silke R Sperling

    Published 2014-01-01
    “…In both the HapMap samples and the TOF cases, our method is superior to CoNIFER, such that it identifies more true positive CNVs. …”
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    Article
  3. 5383

    Identification and Analysis of Effective Factors on the Trend of the Iranian Banking Network to Implement Green Banking by W. Qelich

    Published 2024-09-01
    “…The statistical population of this research was all managers and banking experts in Tehran. In the Delphi method, a standard statistical sample typically ranges from 10 to 30 questionnaires, with 28 initially considered for this research. …”
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    Article
  4. 5384

    Route Planning for Military Ground Vehicles in Road Networks under Uncertain Battlefield Environment by Tan Zhao, Jincai Huang, Jianmai Shi, Chao Chen

    Published 2018-01-01
    “…In addition, variation trend of the deviation with different sample size indicates that a sample of larger size can bring more stability to the results.…”
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    Article
  5. 5385

    FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION by LI Lei, PANG Hai, ZHANG QianTu

    Published 2017-01-01
    “…The improved method realized the combination of data intrinsic manifold structure and class label information,and more discriminative low-dimension features can been obtained. …”
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    Article
  6. 5386

    Discrete Dynamic Modeling and Change Trend Analysis of Regional Economy Based on Big Data by Yang Chen, Yu Yu

    Published 2021-01-01
    “…The results show that compared with the traditional methods, the discrete dynamic modeling method is more accurate and can effectively solve the problem of reliable growth under the condition of big data. …”
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    Article
  7. 5387

    A colloidal gold immunochromatographic test strip based on mAbs anti-N protein to detect feline coronavirus by Zhe Liu, Yupeng Yang, Ruibin Qi, Haorong Gu, Mengru Chen, Kexin Feng, Qian Jiang, Honglin Jia, Hongtao Kang, Jiasen Liu

    Published 2025-07-01
    “…Therefore, this method is more suitable for pathogen diagnosis in the field than previous methods.…”
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  8. 5388

    Associations of adverse childhood and adulthood experiences with depressive and anxiety symptoms among rural left-behind women: A cross-sectional study in China by Shiyi Shan, Yuanfei Liu, Leying Hou, Denan Jiang, Chenhao Zhang, Jing Wu, Zeyu Luo, Jiayao Ying, Wen Liu, Peige Song

    Published 2025-06-01
    “…Rural left-behind women were recruited using a multistage-stratified random sampling method. Data on adverse childhood experiences (ACEs) and adverse adulthood experiences (AAEs) were collected through structured interviews. …”
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    Article
  9. 5389

    The Decision-Making Process of Men Applying for Divorce: A Narrative Perspective by Zeinab Saboohi Golkar, Hossein Afrasiabi

    Published 2024-06-01
    “…The research was conducted in 2023, employing a qualitative approach and utilizing the narrative analysis method. Data collection involved purposive sampling and conversational interviews were conducted with 5 men, who were in the process of divorcing. …”
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    Article
  10. 5390

    Factors associated with participation of breast cancer screening in female residents in China: a systematic review and meta-analysis by Jiayu Liu, Hao Hu, Carolina Oi Lam Ung, Menghuan Song

    Published 2025-02-01
    “…A random-effects model meta-analysis was performed using Stata 14 software when three or more studies identified the same factor. Subgroup analyses were performed by study population, study area, study setting, study period, sampling method, and study quality. …”
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    Article
  11. 5391

    Design of Jitter Compensation Algorithm for Robot Vision Based on Optical Flow and Kalman Filter by B. R. Wang, Y. L. Jin, D. L. Shao, Y. Xu

    Published 2014-01-01
    “…Computing cases show that more point pairs are beneficial for getting more precise motion parameters. …”
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    Article
  12. 5392

    Features of Addiction Propensity and Emotional Intelligence in Graduates of Physics and Mathematics Classes by S.S. Romantcheva, O.R. Busarova

    Published 2024-12-01
    “…The tendency to 13 types of addictions was assessed using the method of G.V. Lozovaya, emotional intelligence was additionally assessed using the method of N. …”
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  13. 5393

    Cost-effectiveness in the diagnosis of tuberculosis: choices in developing countries by Paola Molicotti, Alessandra Bua, Stefania Zanetti

    Published 2014-01-01
    “…The most common direct method for diagnosing TB worldwide is sputum smear microscopy (developed more than 100 years ago), where bacteria are observed in sputum samples examined under a microscope. …”
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  14. 5394

    Even climate change is not fair: the impact of climate change on economic outcomes by Vincent Tawiah, Noha Alessa

    Published 2024-12-01
    “…Design/methodology/approach – This paper uses robust econometrics, including fixed effect and the two-step system generalised method of moments, on a large sample of 175 countries from 2008 to 2019. …”
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  15. 5395

    Sustenability and Organic Growth Marketing: an Exploratory Approach on Valorisation of Durable Development Principles in Tourism by Gheorghe Epuran, Lavinia Dovleac, Ioana Simona Ivasciuc, Bianca Tescasiu

    Published 2015-08-01
    “…Collected using the quota method, the sample is a non-probabilistic type, and the research was conducted based on semi-structured interview, a method chosen in accordance to the type of research. …”
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  16. 5396

    Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach by Rasool Jader, Sadegh Aminifar

    Published 2022-01-01
    “…The suggested model uses the clustering KMeans technique for data reduction and the elbow method to find the optimal k value and the Mahalanobis distance method to find more related cluster to new samples, and the classification methods such as decision tree, random forest, SVM, KNN, logistic regression, and Naïve Bayes are used for prediction. …”
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  17. 5397

    Application of Lignin for Slope Bioengineering: Effect on Soil Improvement and Plant Growth by Ivan Gratchev, Qianhao Tang, Stephen Akosah, Jun Sugawara

    Published 2025-04-01
    “…The changes in soil strength and seed growth were observed for 40 days to simulate the long-term field performance. Two methods to treat the soils were employed: Method 1 involved mixing lignin solutions with the whole soil sample, while Method 2 involved spraying the lignin solutions on the already-prepared soil sample. …”
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  18. 5398

    An Approach for Network Outage Detection from Drive-Testing Databases by Jussi Turkka, Fedor Chernogorov, Kimmo Brigatti, Tapani Ristaniemi, Jukka Lempiäinen

    Published 2012-01-01
    “…In the studied verification case, measurement classification results in an increase of the amount of samples which can be used for detection of performance degradations, and consequently, makes the outage detection faster and more reliable.…”
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  19. 5399

    Survey Personal, Familial and Characteristics of Infants with Acute Respiratory ‎Infection Referring to Health Centers of Rasht City in ‎‏2005‏ by nasrin mokhtari, reza pour mohamadi, atefeh ghanbari, anooshirvan kazemnezhad

    Published 2005-10-01
    “…Its treatment and care costs a lot and if left untreated, can ‎cause irreversible side effects. Prevention is more important than treatment and for prevention, ‎identifying predictive factors are essential.…”
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  20. 5400

    Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

    Published 2025-04-01
    “…ObjectiveThe algorithms developed for the combination of deep learning and bearing fault diagnosis have achieved initial results, but most of them are processed by processing one-dimensional vibration data and input into the network structure for diagnosis, while the research on fault diagnosis technology using two-dimensional signals as input is still on the surface, and the analysis of such methods is rarely reported. The rolling bearing is taken as the research object, and the fault diagnosis algorithm with two-dimensional signal as the input is studied, and the fault diagnosis model of rolling bearing based on M-YOLO network is constructed for the problems of multi-condition fault diagnosis, small data sample, and long model training time.MethodsFirstly, the mosaic data augmentation method was used to enrich the samples to improve the interference of unbalanced data on the diagnostic results. …”
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    Article