Determination of Macro- and Microelements in the Inflorescences of Banana Tree Using ICP OES: Evaluation of the Daily Recommendations of Intake for Humans by Rafaela Henriques Rosa, Melina Ribeiro Fernandes, Elaine Silva de Pádua Melo, Daniela Granja Arakaki, Nayara Vieira de Lima, Luana Carolina Santos Leite, Paulo Renato Espindola, Igor Domingos de Souza, Valdir Aragão do Nascimento, Paula Fabiana Saldanha Tschinkel, Fabiane La Flor Ziegler Sanches, Valter Aragão do Nascimento

“…Farmers should be encouraged by government agencies, not only for sustainability of production but also to ensure the storage and trade of banana tree inflorescence.…”
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The Role of Grass in the Epidemiology of a Phytoplasma Disease Affecting Trees and Other Plants of the Sabana de Bogotá, Colombia by Liliana Franco-Lara, Aura Cristina Campo-Garnica, Iris Calanit French, Cindy Julieth Solano, Maria Nathalia Vargas

“…Both phytoplasmas were detected in symptomatic trees of <i>Salix humboldtiana</i> and <i>Sambucus nigra</i>, and in asymptomatic grass <i>Cenchrus clandestinus</i> and 13 weed species. …”
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Phylogeography of the walnut twig beetle, Pityophthorus juglandis, the vector of thousand cankers disease in North American walnut trees. by Paul F Rugman-Jones, Steven J Seybold, Andrew D Graves, Richard Stouthamer

“…Thousand cankers disease (TCD) of walnut trees (Juglans spp.) results from aggressive feeding in the phloem by the walnut twig beetle (WTB), Pityophthorus juglandis, accompanied by inoculation of its galleries with a pathogenic fungus, Geosmithia morbida. …”
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Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees by Michelle Robin, Flavia Machado Durgante, Caroline Lorenci Mallmann, Hilana Louise Hadlich, Christine Römermann, Lucas de Souza Falcão, Caroline Dutra Lacerda, Sérgio Duvoisin Jr., Florian Wittmann, Maria Teresa Fernandez Piedade, Jochen Schöngart, Eliane Gomes Alves

“…Conclusions Our results indicate the possibility of using spectral readings from botanical collections or field inventories to orient sampling efforts toward potential isoprene-emitting or terpene-storing trees, or to identify key spectral features (most informative selected wavelengths) for potential future incorporation into remote sensing models. …”
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Carbon estimation using sampling to correct LiDAR-assisted enhanced forest inventory estimates by Yingbing Chen, John A. Kershaw, Yung-Han Hsu, Ting-Ru Yang

“…Light Detection and Ranging (LiDAR) scanning has been increasingly applied in forest ecosystem surveys. …”
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Improving Aboveground Biomass Estimation in Beech Forests with 3D Tree Crown Parameters Derived from UAV-LS by Nicola Puletti, Simone Innocenti, Matteo Guasti, Cesar Alvites, Carlotta Ferrara

“…In the second phase, we evaluated the potential of UAV-LS for quantifying AGB in a pure European beech (Fagus sylvatica) forest and compared it with traditional ALS estimates, using fully automatic procedures. The two obtained tree-level AGB models were then tested using three datasets derived from 35 sampling plots over the same study area: (a) 1130 trees manually segmented (phase-2 reference); (b) trees automatically extracted from ALS data; and (c) trees automatically extracted from UAV-LS data. …”
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Outbreak of Xylella fastidiosa subsp. pauca ST53 affecting wild and cultivated olive trees on the island of Mallorca, Spain by Eduardo MORALEJO, Bàrbara QUETGLAS, Marina MONTESINOS, Francisco ADROVER, Diego OLMO, Alicia NIETO, Ana PEDROSA, Marta LÓPEZ, Andreu JUAN, Ester MARCO-NOALES, Inmaculada NAVARRO-HERRERO, Silvia BARBÉ, María Pilar VELASCO-AMO, Concepción OLIVARES-GARCÍA, Blanca B. LANDA

“…Since 2016, the Xf subsp. fastidiosa and multiplex have been detected causing almond leaf scorch and Pierce’s disease on the island of Mallorca, Spain, and a new sequence type (ST), ST80, of subsp. pauca is infecting wild and cultivated olive trees on the island of Ibiza. …”
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Five new records of eriophyid mites (Acari: Eriophyoidea) from herbaceous plants and fruit trees in Van province, Turkey by İbrahim Çakmak, Evsel Denizhan, Sultan Çobanoğlu

“…The samples were collected on herbaceous plants and fruit trees in Bahçesaray, Edremit, İskele and Akdamar island of Van province, Turkey between 2014 and 2016. …”
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Local Adaptation and Climate Change Vulnerability of the Relict Tree Species Taiwania cryptomerioides Provide Insights Into Its Conservation and Restoration by Yang Lu, Hao Dong, Saibin Fan, Lu Yuan, Yuhui Wang, Zhuang Zhao, Yong Lai, Shixin Zhu, Jinyong Huang, Caipeng Yue, Yongpeng Ma, Ningning Zhang

“…Here, we applied a landscape genomics approach to investigate the population genetic structure and predict adaptive capacity to climatic change for Taiwania cryptomerioides Hayata, a vulnerable Tertiary relict tree species in China. We used restriction site‐associated DNA sequencing on 122 individuals across 10 sampling sites. …”
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Genotypes Diversity and Virulence Factor screening of Trichomonas vaginalis Isolated from Pregnant Women in Mosul (North of Iraq) by Fouad S. I. Al-Rubaye, Firas M. B. Alkhashab

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Variations in Cu, Co, Cr, Cd, and Pb Concentrations Based on Soil Depth, Plant Species, and Plant Organs at Copper Mining Sites by Hüseyin Ali Ergül, İnci Sevinç Kravkaz Kuşçu

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Genetic Structure and Phylogenetic Analysis of Liquidambar orientalis Mill. (Altingiaceae) Populations Based on Non-Coded psaA/ycf3 Intergenic Region in The Chloroplast Genome in T... by Taylan Doğaroğlu, Evin Günenç, Rümeysa Yeşim Manap, Vatan Taşkın, Belgin Göçmen Taşkın, Ersin Doğaç

“…Liquidambar orientalis (Anatolian sweetgum tree) is distributed in southwestern Türkiye. With this study, it was aimed to reveal the sequence differences of the psaA/ycf3 inter-gene space region of chloroplast DNA (cpDNA) in L. orientalis populations for the first time in the scientific literature. …”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

“…Accessing tree species information is required for making appropriate decisions in forest management. 3D photo-interpretation using high spatial resolution aerial imagery is used to provide information on tree species in the province of Quebec. …”
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Marbled murrelet habitat suitability in redwood timberlands of Northern Coastal California utilizing LiDAR-derived individual tree metrics. by David W Lamphear, Keith A Hamm, Desiree A Early, Trent L McDonald

“…Marbled murrelet nesting habitat is generally comprised of old-growth or mature forests with large trees having platforms suitable for nesting. Here, we estimate a habitat suitability model (HSM) that relates evidence of nesting to characteristics of putative trees derived from high resolution light imaging detection and ranging (LiDAR) data. …”
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Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method by Chia-Hao Shih, Elyssa Charlotte Feuer, Ben Kurzion, Kevin Xu, Hong Xie, Stephen R. Grider, Xin Wang

“…This proof-of-concept study aimed to design a concise tree-based adaptive test using the Classification and Regression Trees (CART) framework to predict PTSD development.Methods: Utilizing data from a longitudinal neuroimaging study, adult trauma survivors were enrolled from local hospital emergency departments within 48 h of experiencing trauma. …”
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A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China by Zhen Zhen, Xiang Li, Ye Ma, Yinghui Zhao, Xiaochun Wang

“…However, with advancements in individual tree detection technology and the availability of multi-platform remote sensing data, the individual tree-based approach (ITA) presents new opportunities for accurate, nondestructive AGB estimation. …”
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Extreme Solar Particle Ejection Event in the Last Few Million Years from Asteroid Itokawa Sample by Tomoya Obase, Ken-ichi Bajo, Yuta Otsuki, Hisayoshi Yurimoto

“…Extreme solar particle ejection events in the past 11,000 yr have been detected by sharp increases of cosmogenic isotopes in annual tree rings and ice cores. …”
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Development and Validation of a Non-Invasive Prediction Model for Glioma-Associated Epilepsy: A Comparative Analysis of Nomogram and Decision Tree by Zhong Z, Yu HF, Tong Y, Li J

“…In addition, DCA analysis showed that in machine learning prediction models, decision trees have higher overall net returns within the threshold probability range.Conclusion: We have introduced a machine learning prediction model for GAE detection in glioma patients based on multiomics data. …”
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Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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