Effects of Water Deficit on Growth, Biomass Allocation and Photosynthesis of <i>A. senegal</i> Seedlings from Nguru and Gujba Provinces of Yobe State, North Eastern Nigeria by A.U. Jibo, M.G. Barker

“… Acacia senegal (L) Willd is a multipurpose tree species that occurs  throughout semi-arid Africa. …”
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Cost-effectiveness of Ruxolitinib vs Best Available Therapy in the Treatment of Myelofibrosis in Spain by María Teresa Gómez-Casares, Juan Carlos Hernández-Boluda, Antonio Jiménez-Velasco, Joaquin Martínez-López, María Giovanna Ferrario, Irmina Gozalbo, Joana Gostkorzewicz, Rudi Subirá

“…**Methods:** A decision-tree and Markov model were adapted to the Spanish setting to assess the cost-effectiveness of ruxolitinib vs. …”
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

“…We use five Machine Learning (ML) techniques, including Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGboost), Support Vector Machine (SVM) and Artificial Neural Network (ANN) to predict 2021 end-of-season sorghum yield in conflict affected Upper Nile and Western Bahr El Gazal states. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…This study investigates 12 machine learning models—logistic regression (LR), support vector machine (SVM, linear/RBF), K-nearest neighbor (KNN), Naïve bayes (NB), decision tree (DT), random forest (RF), extra trees (ET), gradient boosting (GbBoost), extreme gradient boosting (XgBoost), adaboost, and multi-layer perceptron (MLP)—to develop a robust ML model capable of reliably identifying PD cases. …”
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Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan by Rohini Sen, Alan L. Shields, Koichiro Atsuda

“…Preliminary logistic regressions and classification and regression tree analysis (QW/QD dosing preferences as the dependent variable) were conducted to identify key predictors of dosing preference, followed by an evaluation of frequencies and trends in dosing preferences by the identified factors (subgroups). …”
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Comparison of Wood Veneer-Based Composite Characteristics Made of Jabon Wood (Neolamarckia cadamba) and Sengon Wood (Falcataria moluccana) by Eka Mulya Alamsyah, Ahmad Fawwaz Abdullah, Rafael Niko Navarro, Yoyo Suhaya, Sutrisno Sutrisno, Asep Suheri, Yooce Yustiana, Jamaludin Malik, Sasa Sofyan Munawar

“…One type of plant grown in community forests is the jabon tree (Neolamarckia cadamba). This study will investigate whether jabon wood can be utilized as raw material for wood composite, such as laminated veneer lumber (LVL), laminated veneer board (LVB), and plywood, from the aspect of physical and mechanical characteristics, such as moisture content, density, bending strength, hardness, delamination, and formaldehyde emission. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), na&#x00EF;ve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…The ML models included (i) Decision Tree, (ii) Random Forest (RF), (iii) eXtreme Gradient Boosting, and (iv) Support Vector Regression (SVR). …”
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Molecular Identification of Fusarium proliferatum from toenails: A case report by Sazan Jamal Gharib, Nawroz Abdul-razzak Tahir

“…DNA sequence analysis and Phylogenetic tree of the amplified ITS-rDNA was used for species identification of this strain of F. proliferatum. …”
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Transcriptome study on the effect of leaf-fruit ratio on molecular regulation mechanism of Camellia oleifera by Xiaoyan Zhang, Hui Zhang, Xiuzhong Wu, Zhanying Gu, Lingli Wu, Xiaofeng Tan, Ze Li

“…However, in the process of cultivation, due to the high fruit load, the Camellia oleifera tree has small fruit and poor quality. In previous studies, we explored the optimal leaf-fruit ratio. …”
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Freshwater fungi in the karst plateau wetlands from Guizhou Province, China: taxonomic novelties in Melanommataceae (Pleosporales) by Ling-Ling Liu, Yong-Xiang Liu, Ya-Ya Chen, Jiu-Lan Gou, Feng Chi, Yi Liu, Xiao-Feng Gu, Quan-Quan Wei, Meng Zhang, Zuo-Yi Liu, Si Zhou

“…The descriptions, illustrations, and notes of the novel taxa are provided along with an updated phylogenetic tree of Melanommataceae. Two synopses of the species in Byssosphaeria and Camposporium are also provided.…”
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Complete chloroplast genomes of 13 species of the Impatiens genus for genomic features and phylogenetic relationships studies by Qinqin Yong, Meijun Li, Zhi Li, Chao Luo, Jinling Zhang, Xinxiang Bai

“…Five mutation hotspots were detected: rps16-trnQ-UUG, ndhF, ccsA-ndhD, ycf1, and trnN-GUU, among which ycf1 had the highest Pi value and the greatest potential as a DNA barcode marker. Our phylogenetic tree shows that all 13 species belong to Section Impatiens. …”
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Pan-genome analysis and expression verification of the maize ARF gene family by Quan-cai Man, Yan-qun Wang, Shun-juan Gao, Zhi-chang Gao, Zheng-ping Peng, Jiang-hui Cui

“…The construction of a phylogenetic tree using Arabidopsis thaliana revealed that the G3 subfamily comprises the highest number of core genes, with a total of 10, and exhibits relative stability throughout the evolution of maize. …”
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Investigating the CREDIT History of Supernova Remnants as Cosmic-Ray Sources by Anton Stall, Chun Khai Loo, Philipp Mertsch

“…We model the spatial and temporal distribution of sources and the resulting distribution of fluxes with a Monte Carlo approach. The decision tree that we have trained on simulated data is able to discriminate with very high significance between the null hypothesis of a smooth distribution of sources and the scenario with a stochastic distribution of individual sources. …”
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Diversity of beetles (Arthropoda, Insecta, Coleoptera) associated with coniferous forests in Honduras by Mauricio Hernández, Mauricio Michel, Joel García, Geisy Dueñas, Marcela Moncada, Kevin Amaya, Yensi Yánez, Alejandra Pinto, Gabriela Matamoros, Alejandro Zamora, Gustavo Fontecha

“…Bark beetles are among the primary drivers of tree mortality in coniferous forests worldwide. Individuals belonging to the order Coleoptera were identified across different forest areas in Honduras. …”
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Fast In-House Next-Generation Sequencing in the Diagnosis of Metastatic Non-small Cell Lung Cancer: A Hospital Budget Impact Analysis by Ubong Silas, Maximilian Blüher, Antonia Bosworth Smith, Rhodri Saunders

“…**Methods:** The differences between 2 hospital pathways were established with a cohort-level decision tree that feeds into a Markov model. A pathway that used in-house NGS (75%) and the use of external laboratories (so-called send-out NGS) (25%), was compared with the standard of exclusively send-out NGS. …”
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Health Economic Analysis of Two-Layer Bandage System for Treatment of Chronic Venous Insufficiency by Peter J. Mallow

“…**Methods:** A probabilistic decision tree model was developed to estimate the incremental CPR for a 2LB system. …”
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Desiccation as a suitable alternative to cold-storage of phyllosphere samples for DNA-based microbial community analyses by Emily Smenderovac, Karelle Rheault, Marie-Ange Moisan, Caroline Emilson, Élodie Brazeau, Marie-Josée Morency, Patrick Gagné, Vincent Maire, Erik Emilson, Lisa Venier, Christine Martineau

“…There were some changes in the communities compared to immediate extraction due to this treatment, but these changes did not affect the ability to distinguish tree species and sampling locations. Overall, our study supports the use of silica gel pack short term preservation at ambient temperature for phyllosphere samples intended for DNA-based microbial community analyses.…”
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Impact of Agro-forestry on Soil Conservation in Kayonza Subcounty: A Case Study of Rutendere Parish. by Ayebale, Anxious

“…The objectives of the study were, to find out different economic activities that contribute to soil degradation and other methods of soil conservation other than agroforestry, and to find out different agro-forestry tree species that contribute to soil productivity in the Kayonza sub-county. …”
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Identification and aroma characteristics of various tea types produced from ‘Yiluxiang’ and ‘Yelaixiang’ tea varieties by YOU Xiaomei, LI Xinlei, CHEN Zhihui, KONG Xiangrui, SHAN Ruiyang, CHEN Changsong

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