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  1. 17901

    Edge-preserving filter with adaptive gradient optimization by Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang

    Published 2019-02-01
    “…We develop an efficient optimization algorithm to solve the proposed model based on alternating minimization. …”
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  2. 17902

    Pressure-Related Discrepancies in Landsat 8 Level 2 Collection 2 Surface Reflectance Products and Their Correction by Santosh Adhikari, Larry Leigh, Dinithi Siriwardana Pathiranage

    Published 2025-05-01
    “…For the green band, the reduction in error was much less due to the significantly lesser impact of aerosol on this band. …”
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  3. 17903

    Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body comp... by David Wing, Lisa T. Eyler, Eric J. Lenze, Julie Loebach Wetherell, Jeanne F. Nichols, Romain Meeusen, Job G. Godino, Joshua S. Shimony, Abraham Z. Snyder, Tomoyuki Nishino, Ginger E. Nicol, Guy Nagels, Bart Roelands

    Published 2022-12-01
    “…Methods: Using T1 weighted MRI images, we applied a novel algorithm to determine the physiological age of the brain (brain-predicted age) and the predicted age difference between this physiologically based estimate and chronological age (BrainPAD) to 551 sedentary adults aged 65 to 84 with self-reported cognitive complaint measured at baseline as part of a larger study. …”
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  4. 17904
  5. 17905

    Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

    Published 2024-12-01
    “…The integration of data analytics and machine learning algorithms is transforming supply chain management and enhancing the capabilities of predictive analytics in the context of crop diseases. …”
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  6. 17906

    Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer by Rui Wang, Rui Wang, Guan-Hua Qin, Guan-Hua Qin, Yifei Jiang, Fu-Xiang Chen, Fu-Xiang Chen, Zi-Han Wang, Zi-Han Wang, Lin-Ling Ju, Lin Chen, Da Fu, En-Yu Liu, Su-Qing Zhang, Wei-Hua Cai

    Published 2025-07-01
    “…A 7-gene mCAF-associated risk model was constructed using advanced machine learning algorithms, and the biological significance of PHLDA1 was validated through co-culture experiments and pan-cancer analyses.ResultsOur multiomics analysis revealed that the novel 7-gene model (comprising USP36, KLF5, MT2A, KDM6B, PHLDA1, REL, and DDIT4) accurately predicts patient survival, immunotherapy response, and TME status. …”
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  7. 17907

    Correlation Between Clinical Indicators and Liver Pathology in Children with Chronic Hepatitis B by Chenyang Huang, Ying Lu, Ziwei Wang, Qiyu Jiang, Yi Dong, Lili Cao, Jianguo Yan, Zhiqiang Xu, Fuchuan Wang, Yinjie Gao, Junliang Fu, Min Zhang, Fu-Sheng Wang

    Published 2024-12-01
    “…Our findings highlight the value of integrating age and key biochemical markers into non-invasive diagnostic algorithms for the early detection and management of liver pathology in children.…”
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  8. 17908
  9. 17909
  10. 17910

    Literary Texts Utilization in Distant Teaching of Russian Language by Zoya Şengüder

    Published 2022-10-01
    “…The topicality level of this study is determined by the need to understand new educational conditions, improve the process of teaching Russian as a foreign language as well as to improve the quality of education and motivation of foreign students learning Russian remotely.…”
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  11. 17911
  12. 17912
  13. 17913
  14. 17914
  15. 17915

    Development and validation of an early diagnosis model for severe mycoplasma pneumonia in children based on interpretable machine learning by Si Xie, Mo Wu, Yu Shang, Wenbin Tuo, Jun Wang, Qinzhen Cai, Chunhui Yuan, Cong Yao, Yun Xiang

    Published 2025-05-01
    “…Clinical data were selected through Lasso regression analysis, followed by the application of eight machine learning algorithms to develop early warning model. The accuracy of the model was assessed using validation and prospective cohort. …”
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  16. 17916

    Deciphering the impact of intra-tumoral bacterial infiltration on multi-omics profiles in low-grade gliomas by Wenshu Li, Zixiang Zhu, Zixiang Zhu, Longyuan Li, Xin Wu, Jiaxuan Li, Yi Zhou, Lingwen Gu, Pranathi Vittal, Zhouqing Chen, Zhong Wang, Lingchuan Guo

    Published 2025-06-01
    “…For the TCGA samples, utilizing advanced machine learning algorithms, this study identified distinct patterns of bacterial infiltration within the LGG population and constructed a prognostically relevant intra-tumoral bacteria risk model (PRIBR Index). …”
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  17. 17917

    MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

    Published 2024-01-01
    “…Furthermore, we explore the Soft-NMS algorithm to effectively mitigate small object occlusion and reduce missed detection. …”
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  18. 17918

    Evaluating trauma care, outcomes and costs in a system in crisis: the necessity of a Greek National Trauma Database by Apostolos Prionas, George Tsoulfas, Andreas Tooulias, Apostolos Papakoulas, Athanasios Piachas, Vasileios Papadopoulos

    Published 2020-12-01
    “…The prehospital triage of trauma patients is ineffective. A reduction of costs could have been achieved if prehospital triage was more effective.Level of evidence Level IV.…”
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  19. 17919
  20. 17920

    Optimizing Locations of Primary Schools in Rural Areas of China by Yulong Chen

    Published 2021-01-01
    “…Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. …”
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