Nutrition of Florida Citrus Trees, 3rd Edition: Chapter 3. General Soil Fertility and Citrus Tree Nutrition by Thomas A. Obreza, Mongi Zekri, Stephen H. Futch

“… The information provided in the 2008 2nd edition is still sound for healthy citrus trees under Florida production conditions. Much of the information provided in this document on nutrients, application methods, leaf and soil sampling and irrigation scheduling are also effective for huanglongbing (HLB) affected citrus trees. …”
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Nutrition of Florida Citrus Trees, 3rd Edition: Chapter 3. General Soil Fertility and Citrus Tree Nutrition by Thomas A. Obreza, Mongi Zekri, Stephen H. Futch

“… The information provided in the 2008 2nd edition is still sound for healthy citrus trees under Florida production conditions. Much of the information provided in this document on nutrients, application methods, leaf and soil sampling and irrigation scheduling are also effective for huanglongbing (HLB) affected citrus trees. …”
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

“…Borderline-SMOTE (Synthetic Minority Over-sampling Technique) was used on the training set to balance the dataset. …”
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Spatial and temporal detection of 'Candidatus Liberibacter asiaticus' in Diaphorina citri through optimized scouting, sampling, DNA isolation, and qPCR amplification in California... by Nathaniel Ponvert, Frank Byrne, Monique J Rivera, Timo Rohula, Sandra Olkowski, Heshani De Silva Weligodage, Neil McRoberts, Judith K Brown

“…While CLas detection rates increased with adult ACP age, nymphs were preferred for field sampling as adult ACP might have dispersed from non-infected trees, potentially misrepresenting the grove's CLas status. …”
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Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms by Mohamed A. Hamada, Karim Farag, Adejor E. Abiche

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Automatic generating regular expression signatures for real network worms by Yong TANG, Jian-wei ZHUGE, Shu-hui CHEN, Xi-cheng LU

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Automatic generating regular expression signatures for real network worms by Yong TANG, Jian-wei ZHUGE, Shu-hui CHEN, Xi-cheng LU

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Evaluating the reliability of field identification and morphometric classifications for carnivore scats confirmed with genetic analysis by Robert C. Lonsinger, Eric M. Gese, Lisette P. Waits

“…We conducted scat surveys in the Great Basin desert of Utah, USA, during the winter and summer of 2013, and we detected 1,680 carnivore scats. We classified scats based on field identification, recorded morphometric measurements, and collected fecal DNA samples for molecular species identification. …”
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A Comparative Analysis of Artificial Intelligence Techniques for Single Open-Circuit Fault Detection in a Packed E-Cell Inverter by Bushra Masri, Hiba Al Sheikh, Nabil Karami, Hadi Y. Kanaan, Nazih Moubayed

“…Recently, fault detection has played a crucial role in ensuring the safety and reliability of inverter operation. …”
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Morphometric Assessment of Occipital Condyles and Foramen Magnum Reveals Enhanced Sexual Dimorphism Detection via 3D Imaging: A Systematic Review and Meta-Analysis Utilizing Classi... by Christos Tsiouris, George Triantafyllou, Nektaria Karangeli, George G. Botis, Panagiotis Papadopoulos-Manolarakis, Theodosis Kalamatianos, George Tsakotos, Maria Piagkou

“…Meta-CART (classification and regression trees) was used to explore moderator interactions and identify data-driven subgroups contributing to heterogeneity. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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CATECHIC TANNIN CONTENT OF DIFFERENT TEA SAMPLES by Gülbahar Özge Alim Toraman, Nur Tan

“…When all the samples were microscopically examined, reaserch detected the presence of idioblast which is the characteristic structure of the tea. …”
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The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

“…Considering our dataset, our results show a slight difference between the application of decision trees and random forests in detecting delayed departures as the minority class. …”
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Assessing the impact of eucalyptus trees on soil chemical properties in rice fields by Md. Saiful Islam, Sujat Ahmed, Md. Main Uddin Miah, Nor Aida Mahiddin, Abdullah Al Bakky, Zulhilmi Ismail, Taher Sahlabji, Abubakr M. Idris

“…These variations reflect the influence of eucalyptus trees on soil characteristics. A considerable portion of nickel, copper, and zinc was detected in the strongly bound residual phase, while arsenic, cadmium, and lead were bound to carbonate and exchangeable fractions. …”
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Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction by Yigang Cen, Fangfei Wang, Ruizhen Zhao, Lihong Cui, Lihui Cen, Zhenjiang Miao, Yanming Cen

“…In this paper, a new Tree-based Backtracking Orthogonal Matching Pursuit (TBOMP) algorithm is presented with the idea of the tree model in wavelet domain. …”
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The effect of leader damage on lodgepole pine site tree height growth by Gord Nigh

“…Detecting and avoiding leader damage in site trees is very difficult because radial stem growth eventually hides the damage, even in young trees. …”
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Application of decision tree model in diagnosis of mycoplasma pneumoniae pneumonia with plastic bronchitis by Lin Li, Dong Wang, Rongrong Yang, Xing Liao, Ling Wu

“…The generated decision tree model was validated on the validation sample dataset and the detection effect value of the model was calculated. …”
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A Bayesian Additive Regression Trees Framework for Individualized Causal Effect Estimation by Lulu He, Lixia Cao, Tonghui Wang, Zhenqi Cao, Xin Shi

“…This paper proposes a dual-structure ITE-estimation model based on Bayesian Additive Regression Trees (BART), which constructs independent BART sub-models for the treatment and control groups, estimates ITEs using the potential outcome framework and enhances posterior stability and estimation reliability through Markov Chain Monte Carlo (MCMC) sampling. …”
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Seasonal dynamics of Cryptostroma corticale conidial spread by Dvorák M, Janovská K, Rost M

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Oxygen isotope values of charred tree bark as an indicator of forest fire severity by Elizabeth McDonald, Elizabeth A. Webb, Jeffery P. Dech

“…The objective of this study was to determine if oxygen isotope values of charred tree bark could be used to reconstruct fire severity. …”
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