Assessing crown reduction as a strategy to mitigate drought stress during initial development of sessile oak and Norway spruce saplings by Arsić Janko, Stojanović Marko, Horáček Petr, Mikhailov Sergei, Krejza Jan

“…Droughts, amplified by climate change, pose a significant threat to the success of both artificially and naturally regenerated forests. Understanding how these changes affect the initial stages of saplings development is crucial for forest establishment, particularly for ecologically and economically important species like Norway spruce and sessile oak in Central Europe. …”
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Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive by Emma Asbridge, Claire Krause, Richard Lucas, Christopher J. Owers, Kerrylee Rogers, Leo Lymburner, Norman Mueller, Emma Ai, Sebastian Wong

“…Tropical cyclones can significantly impact mangrove forests, with some recovering rapidly, whilst others may change permanently. …”
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Distinctive Gut Microbiota Alteration Is Associated with Poststroke Functional Recovery: Results from a Prospective Cohort Study by Yini Dang, Xintong Zhang, Yu Zheng, Binbin Yu, Dijia Pan, Xiaomin Jiang, Chengjie Yan, Qiuyu Yu, Xiao Lu

“…Microbial composition, diversity indices, and species cooccurrence were compared between groups. Random forest and receiver operating characteristic analysis were used to identify potential diagnostic biomarkers. …”
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Quantitative Approach for Determining Reproductive Life‐History Strategies of Parasitic Plants: A Case Study in Balanophora by Trevor Padgett, Huei‐Jiun Su, Shu‐Hui Wu, Li‐yen Huang, Yiching Lin

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Morphotypes and genetic diversity of <i>Dendrobaena schmidti</i> (Lumbricidae, Annelida) by S. V. Shekhovtsov, I. B. Rapoport, T. V. Poluboyarova, A. P. Geraskina, E. V. Golovanova, S. E. Peltek

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A SDGs-oriented evaluation of the ecological sustainability of international horticultural exposition sites in Chengdu, China by Biao Huang, Haolin Yang, Kankan Shang, Ruoyu Wang, Yufei Meng, Hongming Peng, Yonghong Hu, Zehui Jiang

“…The development of Integrated Service areas will lead to an increase in impervious surfaces. The anticipated forest loss, along with declines in vegetation coverage, three-dimensional green volume, and vegetation carbon stock will adversely affect the highest sustainability. …”
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Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Regression model RMSE was 12° and calibration was 1.00 (95% CI: 0.94, 1.06). Random Forest RMSE was 9° and calibration was 1.33 (95% CI: 1.29, 1.37). …”
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Inter-agency collaboration in building urban fire resilience in Indonesia: how do metropolitan cities address it? by Ahmad Harakan, Yusuf Adam Hilman, A. Junaedi Karso, Awaluddin Awaluddin, Nurhalijah Nurhalijah, Indah Sidrawaty Muin, Aldy Nurdiansyah B, Arfan Fadillah, Rudi Hardi

“…In Indonesia, recurring fire incidents, ranging from forest fires to residential fires in densely populated areas, highlight the urgent need for effective fire disaster management. …”
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Overwintering of Thrips (Thysanoptera) Under the Bark of the Plane Tree (<i>Platanus</i> x <i>hispanica</i> Mill. ex Münchh.) in Southeastern Poland by Halina Kucharczyk, Marek Kucharczyk, Tomasz Olbrycht

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Diversity and Abundance of the Species of Arboreal Mammals in a Tropical Rainforest in Southeast Mexico by J. Vladimir Rojas‐Sánchez, Rosamond Ione Coates, Víctor Sánchez‐Cordero, Mario C. Lavariega, José J. Flores‐Martínez

“…Tropical rainforests harbor a rich mammal diversity with a wide range of species using different habitats, ranging from forest‐dwelling to arboreal species. Recent techniques such as camera trapping have proven to be useful to study the ecology of arboreal mammals. …”
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Selective inhibition of TGF-β-induced epithelial-mesenchymal transition overcomes chemotherapy resistance in high-risk lung squamous cell carcinoma by Liangdong Sun, Jue Wang, Huansha Yu, Xinsheng Zhu, Jing Zhang, Junjie Hu, Yilv Yan, Xun Zhang, Yuming Zhu, Gening Jiang, Ming Ding, Peng Zhang, Lele Zhang

“…The integrative development of machine learning-based models reveals a random survival forest (RSF) prognostic model for LUSC. The 12-gene RSF model exhibits high prognostic power in more than 1,000 LUSC patients. …”
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing by Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat

“…Prediction accuracy and precision ranged from 92% to 94.6% when employing decision tree classifiers including decision tree (DT), random forest (RF), XGBoost, AdaBoost, and gradient boosting (GB). …”
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Effects of Film-Bottomed Treatment on Absorbability and Translocation of Nitrogen in Spring Wheat in Arid Area by Zizhen Li, Xiaolei Zhou, Qing Tian, Low Pak Sum, Yuee Yan, Xujiao Zhou

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Land use transition and its driving mechanisms in China’s human-elephant conflict areas by WANG Yuan, WANG Yahui, YANG Aoxi, FAN Hui, XIE Fei

“…[Results] (1) Land use transition in regions inhabited by Asian elephants is significant, with forest areas experiencing a decrease followed by a slow recovery, accompanied by a decrease in orchard area. …”
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

“…The machine learning algorithms used included linear regression (LR), random forest (RF), support vector regression (SVR), generalized linear model boost (GLMBoost), Bayesian generalized linear model (BayesGLM), and extreme gradient boosting (eXGB). …”
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‘Tobolyak’: an oat cultivar for universal use by M. N. Fomina, Yu. S. Ivanova, O. A. Pay, N. A. Bragin

“…The average grain yield for the years of study (2014–2019) under the environmental conditions of the northern forest-steppe (Tyumen Province) was 5.88 t/ha (+0.41 t/ha to the reference). …”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…Four ML models are trained: Random Forest Regression (RF), Extreme Gradient Boosting (XGBoost), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). …”
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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

“…Furthermore, ML algorithms such as Artificial Neural Networks (ANN), Bayesian networks, Random Forest (RF), Support Vector Machine (SVM), LSBoost, and Linear Regression (LR) were employed to estimate MMP. …”
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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

“…Finally, potential biomarkers were picked out by applying machine learning methods including random forest and stepwise regression and prediction models were constructed by logistic regression.ResultsThe presence of metabolites and proteins in peripheral blood plasma was causally associated with both non-small cell lung cancer and PD-L1/PD-1 expression levels. …”
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