Rare Presentation of Left Lower Lobe Pulmonary Artery Dissection by René Hako, Ján Fedačko, Štefan Tóth, Radoslav Morochovič, Pavol Kristian, Tímea Pekárová, Petri Tuomainen, Daniel Pella

“…CT imaging of the chest is a key diagnostic tool that is able to detect an intimal flap and a false lumen within the pulmonary arterial tree and is preferred in differential diagnosis of rare complications of sustained pulmonary arterial hypertension.…”
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Locating Station of One-Way Carsharing Based on Spatial Demand Characteristics by Xiaohong Chen, Jiaqi Cheng, Jianhong Ye, Yong Jin, Xi Li, Fei Zhang

“…The adaptive elastic net regression is developed to identify factors that influence carsharing usage intensity and degree of usage imbalance after factor selection using extra-randomized-tree algorithm. Finally, a station layout is proposed according to both usage intensity and degree of imbalance. …”
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Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops by Marcos Miñarro, Daniel García

“…Additionally, a greater cover of apple tree canopy within the orchards decreased bat total activity. …”
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PHENETIC ANALYSIS OF POPULUS NIGRA, P. LAURIFOLIA AND P. × JRTYSCHENSIS IN NATURAL HYBRIDIZATION ZONE by A. V. Klimov, B. V. Proshkin

“…The analysis of endogenous, intra- and inter-population variability was performed on 533 individual poplar trees in seven populations of P. nigra, seven populations of P. laurifolia and four populations of P. × jrtyschensis in the Tom river basin. …”
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Underlying and contributing causes of mortality from CDC WONDER—Insights for researchers by Abdul Mannan Khan Minhas, Laurence S. Sperling, Sadeer Al-Kindi, Dmitry Abramov

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Functional Characterization of Sesquiterpene Synthase from Polygonum minus by Su-Fang Ee, Zeti-Azura Mohamed-Hussein, Roohaida Othman, Noor Azmi Shaharuddin, Ismanizan Ismail, Zamri Zainal

“…We also constructed a phylogenetic tree, which showed that PmSTS belongs to the angiosperm sesquiterpene synthase subfamily Tps-a. …”
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Metabolites Profiling of Manilkara mabokeensis Aubrév Bark and Investigation of Biological Activities by Xavier Worowounga, Rami Rahmani, Armel-Frederic Namkona, Sylvie Cazaux, Jean-Laurent Syssa-Magalé, Hubert Matondo, Jalloul Bouajila

“…Manilkara mabokeensis Aubrév is a tree that belongs to the Sapotaceae family, native to the tropical forest in Latin America, Asia, Australia, and Africa. …”
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Multilocus phylogenies reveal three new truffle-like taxa and the traces of interspecific hybridization in Octaviania (Boletaceae, Boletales) by Takamichi Orihara, Rosanne Healy, Adriana Corrales, Matthew E. Smith

“…Additionally, one O. japonimontana specimen had an unusually divergent TEF1 sequence. Gene-tree comparison and phylogenetic network analysis of the multilocus dataset suggest that these heterogenous sequences are most likely the result of previous inter- and intra-specific hybridization. …”
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Molecular Identification of Necrophagous Muscidae and Sarcophagidae Fly Species Collected in Korea by Mitochondrial Cytochrome c Oxidase Subunit I Nucleotide Sequences by Yu-Hoon Kim, Sang Eon Shin, Chan Seon Ham, Seong Yoon Kim, Kwang Soo Ko, Tae-Ho Jo, Gi Hoon Son, Seong Hwan Park, Juck-Joon Hwang

“…Obtained sequences were analyzed for a phylogenetic tree and a distance matrix. Our data showed very low intraspecific sequence distances and species-level monophylies. …”
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Analysis of Charcoal Producers Perceptions of Its Production, Forest Degradation, and Governance in Wolaita, Southern Ethiopia’s Dry Afromontane Forests by Alemayehu Hido, Abebe Teka, Asabeneh Alemayehu

“…The chi-square result shows a significant relationship between monthly incomes, educational status, family size, and gender with charcoal production and forest degradation at (P<0.05). The indigenous trees, Acacia tortilis (34%), Combretum mole (22%), and Terminalia schimperiana (16%), were the most preferred tree species used for charcoal production. …”
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

“…Using MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V061 dataset, we designed and implemented Reservoir Computing (RC) models and transformer-based models including pretrained language model, and compared the prediction performance of these models to traditional machine learning and deep learning methods such as Nonlinear Regression, Decision Tree, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) network, and DLinear. …”
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A risk-based approach to reduction of warm air infiltration for energy efficiency optimization in a cold storage system-a case study of a fruit packaging plant by Peter Kibagendi Mokaya, James Wakiru, Josephat Tanui

“…An Ishikawa diagram and a risk-based Failure Mode and Effect Analysis (FMEA) were used to identify and prioritize root causes, respectively, and a modified decision tree was then utilized to structure the mitigation strategy. …”
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Sensory experience controls dendritic structure and behavior by distinct pathways involving degenerins by Sharon Inberg, Yael Iosilevskii, Alba Calatayud-Sanchez, Hagar Setty, Meital Oren-Suissa, Michael Krieg, Benjamin Podbilewicz

“…Sensory experience affects the structure of these tree-like neurites, which, it is assumed, modifies neuronal function, yet the evidence is scarce, and the mechanisms are unknown. …”
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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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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

“…The random forest model with the highest accuracy (R 2 = 0.986) was the best prediction model, while logistic regression (R 2 = 0.98), decision tree (R 2 = 0.979), K-nearest neighbor (R 2 = 0.968), artificial neural network (R 2 = 0.955), and support vector machine (R 2 = 0.928) predicted GWQI with lower accuracy. …”
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Molecular network analysis for detecting HIV transmission clusters: insights and implications by Yangyang Liu, Lichun Hua, Wenqian Wu, You Ge, Wei Li, Pingmin Wei

“…With an accuracy of 86.25%, the optimal parameter for the phylogenetic tree and gene distance approach was 90 + 0.045 substitution/loci. …”
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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

“…Traditional forecasting techniques, such as Linear Mixed Models, Random Forest and standard Artificial Neural Networks, often fail to account for the time-dependent nature of tree growth and utilize simple architectures. To overcome these limitations, we introduce the use of two different Deep Learning models: the Long Short-Term Memory network and the Temporal Convolutional Neural Network, which capture the temporal dependencies of growth by incorporating lagged Basal Area Increment values. …”
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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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Ploidy levels influence cold tolerance of Cyclocarya paliurus: insight into the roles of WRKY genes by Zanpei Zhang, Qianxing Mao, Yueying Gu, Xulan Shang, Yanmeng Huang, Shengzuo Fang

“…Cyclocarya paliurus, a diclinous and versatile tree species originally in subtropical regions, has been introduced and cultivated in the warm temperate zone of China to meet the increasing market demand for its leaf yield. …”
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Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Stud... by Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu

“…To address these challenges, this study innovatively combines nighttime light remote sensing data to quantify urban economic development intensity and integrates socioeconomic and natural environment indicators based on previous research. Four tree-based ensemble learning models—Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost)—were employed to predict potential urban economic development suitability zones and their suitability intensity. …”
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