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  1. 4401
    Maceral Association in Coal-bearing Formation of Mae Than Coal Mine in Lampang, Thailand - Implication for Depositional Environment
    “..., possibly conifers, in a freshwater forest swamp or mire in a warm temperate climate. In addition, the high...”
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  2. 4402
    Nitrogen species specific phosphorus mineralization in temperate floodplain soils
    por Mary R. Arenberg, Yuji Arai
    Publicado 2021
    “... to forest soils may boost the activity of phosphatase, increasing the bioavailability of phosphate...”
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  3. 4403
    Evaluation of focus and deep learning methods for automated image grading and factors influencing image quality in adaptive optics ophthalmoscopy
    “... accuracy of 89%, whereas LAPE metric achieves 73% and 80% (for a linear regression and random forest...”
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  4. 4404
    Machine learning-based prediction of acute kidney injury after nephrectomy in patients with renal cell carcinoma
    “... such as support vector machine, random forest, extreme gradient boosting, and light gradient boosting machine...”
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  5. 4405
    Variation in individual autumn migration and winter paths of Great Lakes red-headed woodpeckers (Melanerpes erythrocephalus)
    “... of closed-canopy hardwood forest within agricultural matrices. We documented one-time movements in migratory...”
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  6. 4406
    Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy
    “...%) adequate responses] and selected the best model (Random Forests with area under the receiver operating...”
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  7. 4407
    Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
    “... random forest classifier was used to assess whether the oral microbiome could predict LN metastasis...”
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  8. 4408
    Symbolic consultation and cultural simplification in the establishment of an Indonesian national park and its impacts on local livelihoods
    “..., the transformation of the Sebangau production forest into a conservation area significantly disrupted local...”
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  9. 4409
    Echocardiographic view and feature selection for the estimation of the response to CRT.
    “... strain curves of 130 patients and different methods of feature selection (out-of-bag random forest...”
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  10. 4410
    Hamming-shifting graph of genomic short reads: Efficient construction and its application for compression.
    por Yuansheng Liu, Jinyan Li
    Publicado 2021
    “...-read for an optimal compression. We conducted compression experiments on the minimum spanning forest...”
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  11. 4411
    Migration of Firecrest (Regulus ignicapilla) in Hungary
    “... forests in the mountainous and hilly areas of Hungary, but is found in all parts of the country during...”
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  12. 4412
    A machine learning approach for predicting suicidal thoughts and behaviours among college students
    “... at follow-up, we used random forests models with 70 potential predictors measured at baseline, including...”
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  13. 4413
    Stingless bee foraging behavior and pollen resource use in oil palm and rubber plantations in Sumatra
    “... the plantations, probably in forested patches and surrounding gardens. Finally, based on multivariate analyses, we...”
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  14. 4414
    Actin cytoskeletal inhibitor 19,20-epoxycytochalasin Q sensitizes yeast cells lacking ERG6 through actin-targeting and secondarily through disruption of lipid homeostasis
    “... of tropical forests. In a model yeast Saccharomyces cerevisiae, ECQ is more toxic in the erg6∆ strain, which...”
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  15. 4415
    Modeling space radiation induced cognitive dysfunction using targeted and non-targeted effects
    “... by additional analyses of the data using quantile regression and random forests. These results suggest that NTE...”
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  16. 4416
    Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
    “...: Gradient Boosting Tree (G.B.T.), Random forest (R.F.), Linear regression (LR) and different artificial...”
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  17. 4417
    Loan default prediction of Chinese P2P market: a machine learning methodology
    por Junhui Xu, Zekai Lu, Ying Xie
    Publicado 2021
    “... four machine learning methods (random forest (RF), extreme gradient boosting tree (XGBT), gradient...”
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  18. 4418
    Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients
    “... neural network, support vector machine, and random forest, were used for training and preparing...”
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  19. 4419
    Ensuring the Competitiveness of the Ukrainian Woodworking Industry in the Post-Pandemic Period
    “...The woodworking industry is one of the most critical components of the forest sector in Ukraine...”
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  20. 4420
    Predictive modeling for peri-implantitis by using machine learning techniques
    “..., and random forests (RF). As the results, RF had the highest performance in predicting the onset of peri...”
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