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  1. 481

    Studying Spatiotemporal Changeability of Oak Forests in Zagros in Response to Rainfall Variation by Zahra Alirezai, Amir Gandomkar, Morteza khodagholi, Alireza Abbasi

    Published 2020-06-01
    “…The vegetation index of Lorestan was detected using Landsat 8 and 5 imageries during 2000-2017. …”
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    Article
  2. 482

    Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

    Published 2025-07-01
    “…Among the eight machine learning models, ExtraTrees had the highest test and training set ROC AUCs of 1.000 and 0.753; in the test set, LR and LightGBM had the highest sensitivity of 0.615; LR, SVM, ExtraTrees, LightGBM and MLP had higher specificities of 0.789, 1.000, 0.842, 0.789 and 0.789, respectively; and LR, ExtraTrees and LightGBM had the highest accuracy of 0. 719, 0.688 and 0.719 respectively. …”
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  3. 483

    Application of four molecular markers for breeding peach aphid (Myzus persicae Sülzer) resistance by CHEN Xuejia, LIU Mingjie, WU Jinlong, WANG Xinwei, CHEN Changwen, LI Yong, WANG Lirong

    Published 2025-07-01
    “…Six fruits at 80% maturity, uniformly distributed on the outer canopy, were sampled per tree to measure single-fruit weight and soluble solid content (SSC). …”
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  4. 484

    What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants by Radwan Qasrawi, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah

    Published 2025-07-01
    “…Sociodemographic, dietary, and lifestyle predictors were evaluated using machine learning (Random Forest, SVM, logistic regression, gradient boosting, decision trees, and ensemble methods). Synthetic Minority Over-sampling (SMOTE) addressed class imbalance. …”
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  5. 485

    Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

    Published 2025-05-01
    “…After dimensionality reduction, machine learning methods such as extremely randomized trees (ERT), random forest (RF), XGBoost, Bagging, and CatBoost were used for model construction. …”
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  6. 486
  7. 487

    The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

    Published 2025-01-01
    “…ObjectiveTo develop a machine learning-based prediction model to assist clinicians in accurately determining whether the detection of Klebsiella pneumoniae (KP) in sputum samples indicates an infection, facilitating timely diagnosis and treatment.Research methodsA retrospective analysis was conducted on 8,318 patients with KP cultures admitted to a tertiary hospital in Northeast China from January 2019 to December 2023. …”
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  8. 488

    Genomic characterization of norovirus and Sapovirus from a diarrhea outbreak in a school linked to heavy rainfall by Zhongyan Fu, Zhongyan Fu, Changjing Wu, Changjing Wu, Yinghui Yu, Jian Zhao, Jian Zhao, Yan Dong, Wei Liu, Wei Liu, Huixin Dou, Huixin Dou, Xuezhen Shi, Chengzhi Cai, Baihai Jiao, Tiantian Liu, Boyan Jiao, Boyan Jiao

    Published 2025-04-01
    “…Whole-genome sequencing was performed for NV GI and SaV-positive samples to determine their genotypes, construct phylogenetic trees, and analyze amino acid variation sites in encoded proteins.ResultsAmong the 21 case stool samples, 7 tested positive for both NV GI and SaV, 10 were positive for NV GI only, and 1 was positive for SaV only. …”
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  9. 489

    Differences in endogenous hormones levels and mineral nutrient contents between seedy and seedless Orah mandarins during the flower and fruit abscission stages by DONG Jianmei, LI Jing, YANG Di, LI Jinxue, LAI Xinpu, LIU Hongming, FU Xiaomeng, YANG Hongxia, DU Yuxia

    Published 2025-03-01
    “…Representative specimens exhibiting moderate and consistent tree size, growth vigor and flower amount were selected for analysis. …”
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  10. 490
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  13. 493

    An annual cropland extent dataset for Africa at 30 m spatial resolution from 2000 to 2022 by Z. Lou, Z. Lou, D. Peng, D. Peng, Z. Shi, Z. Shi, H. Wang, K. Liu, Y. Zhang, X. Yan, X. Yan, Z. Chen, Z. Chen, S. Ye, S. Ye, L. Yu, J. Hu, J. Hu, J. Hu, Y. Lv, Y. Lv, Y. Lv, H. Peng, H. Peng, Y. Zhang, Y. Zhang, Y. Zhang, B. Zhang, B. Zhang

    Published 2025-08-01
    “…Robust training samples were generated, and a locally adaptive model was applied for cropland extraction. …”
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  14. 494

    Invasive urodynamic investigations in the management of women with refractory overactive bladder symptoms: FUTURE, a superiority RCT and economic evaluation by Mohamed Abdel-Fattah, Christopher Chapple, Suzanne Breeman, David Cooper, Helen Bell-Gorrod, Preksha Kuppanda, Karen Guerrero, Simon Dixon, Nikki Cotterill, Karen Ward, Hashim Hashim, Ash Monga, Karen Brown, Marcus Drake, Andrew Gammie, Alyaa Mostafa, Rebecca Bruce, Victoria Bell, Christine Kennedy, Suzanne Evans, Graeme MacLennan, John Norrie

    Published 2025-07-01
    “…A self-completed 3-day bladder diary was also collected at baseline and 6 and 15 months post-randomisation. Sample size Outcome data were required on 986 participants per group for 90% power to detect a minimum of 10% superiority of urodynamics over CCA only. …”
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  15. 495

    Environmental DNA from peck marks shows potential for non‑invasive monitoring of woodpeckers. by Muhammad Bilal Sharif, Björn Ferry, Jérôme Fuchs, Bodil Cronholm, Peter D Heintzman, Love Dalén

    Published 2025-01-01
    “…This proof-of-concept study explores the potential of environmental DNA (eDNA) collected from peck marks as a non-invasive tool for detecting and identifying woodpecker species. We collected nine samples from fresh peck marks on birch and spruce trees in the forests of Swedish Lapland. …”
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  16. 496

    Content of Organic Acid and Essential Oil in Natural Sweet Chestnuts (Castanea Sativa Mill) Growing in Giresun/TURKEY by Elif Apaydın, Bünyamin Şengül, Ümit Şengül

    Published 2024-03-01
    “…This study investigated organic acid and essential oil components in sweet chestnut (Castanea Sativa Mill) fruits collected from naturally growing chestnut trees within the borders of Giresun province. For this purpose, chestnut samples were collected from trees in 10 different areas in Giresun. …”
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  17. 497

    Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye by Çakmak Taylan

    Published 2024-03-01
    “…According to the maturity index analysis, mean values showed the highest maturity level at peach trees (MI value: 3,52), followed by; walnut trees (MI value: 2.49), cherry trees (MI value: 2.15), nectarine trees (MI value: 1.86), plum trees (MI value: 1.57), and olive trees (MI value: 1.42). …”
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  18. 498

    Pests and fungal pathogens associated with Douglas fir stands showing crown defoliation and vitality loss by Gitta Jutta Langer, Johanna Bußkamp, Sandra Peters, Jenny Wietschorke, Jörg Grüner, Janina Faust, Dominik Wonsack

    Published 2025-04-01
    “…Crown condition was assessed using the terrestrial forest damage inventory (TWI) method. Sampled trees were assessed on site for abiotic and biotic damage. …”
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  19. 499

    First record of the fungus Setomelanomma holmii (Pleosporales, Phaeosphaeriaceae) on Picea abies in Bulgaria by Maria Dobreva, Margarita Georgieva, Pencho Dermendzhiev, Vasil Velinov, Rumen Nachev, Georgi Georgiev

    Published 2025-07-01
    “…Only current year needles remained on severely affected samplings. Symptoms of the disease were not detected on the Colorado blue spruce (Picea pungens) young trees planted in the same nursery.…”
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  20. 500