Biocrusts do not harm shrub root water uptake in the Mu Us sandland, China by Hongjie Guan, Yang Yu, Mengqi Yin, Sizhuo Guo, Gernot Bodner

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Elephants et dissemination des graines de quelques espèces vegetales dans le Ranch de Gibier de Nazinga (sud du Burkina Faso) by Hien Mipro, Boussim Joseph, Guinko Sita

“… Seed dispersal by forest elephants was assessed from dung samples collected monthly July 1996-June 1997. …”
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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

“…In this study, we propose a machine learning-based approach to address the inverse design problem in nanostructures, using data generated by numerical simulations via the Finite Element Method (FEM). We used a dataset of over 140,000 entries to train the regression models CatBoost, Random Forest, and Extra Trees, capable of predicting physical parameters, such as the radius of the nanocylinder, based on the simulated optical response. …”
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Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges by Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song

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Reflecting on Cultural Training Outside of Cultural Place by Nathan Hanna, Sandra King

“…After researching immersion training, vicarious learning, and simulations, these authors came to the realization that we were missing the forest for the trees. …”
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Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

“…Introduction: Land use changes in coastal areas of Gilan Province in recent decades have caused problems such as forest and wetland degradation, soil erosion, biodiversity reduction, and increased environmental pollution. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

“…Inflammatory-related COPD feature genes were selected using Lasso regression and random forest algorithms, and a COPD risk prediction model was constructed. …”
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The Fifth Phase of the Radiation Transfer Model Intercomparison Exercise (RAMI-V): Experiment Description and Results on Actual Canopy Scenarios by Christian Lanconelli, Nadine Gobron, Monica Robustelli, Jennifer Susan Adams, Kim Calders, Mathias Disney, Jean-Philippe Gastellu-Etchegorry, Adam Goodenough, Yves Govaerts, Robin J. Hogan, Huaguo Huang, Hideki Kobayashi, Andres Kuusk, Vincent Leroy, Niall Origo, Jianbo Qi, Sebastian Schunke, Martin Leeuwen, Yingjie Wang, Donghui Xie, Yelu Zeng, Feng Zhao

“…The measurements to simulate were the bidirectional reflectance factor, directional–hemispherical reflectance, and bidirectional–hemispherical reflectance. …”
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A Novel Plant‐Based Food to Enlarge the Access of Healthy Bioactive Compounds Typical of the Mediterranean Diet to Non‐Adherent People by Andrea Polo, Francesco Maria Calabrese, Ali Zein Alabiden Tlais, Ilario Ferrocino, Francesca De Filippis, Giuseppe Celano, Olimpia Vincentini, Vincenzo Valentino, Cristian Del Bo', Simona Bo, Raffaella Di Cagno, Luca Simone Cocolin, Danilo Ercolini, Maria De Angelis, Marco Gobbetti

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Soil temperature explains radial growth of coniferous trees more effectively than air temperature in mountainous cold temperate habitat by Minghao Cui, Yuan Jiang, Feng Xue, Penghe Cao, Muyi Kang

“…Our findings suggested that incorporating soil factors into models simulating and predicting forest productivity could greatly enhance the accuracy of modeling.…”
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A surface model of nonlinear, non-steady-state phloem transport by Youcef Mammeri, Damien Sellier

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Unveiling the Shadows—A Framework for APT’s Defense AI and Game Theory Strategy by Pedro Brandão, Carla Silva

“…Experimental results on simulated data demonstrate the robustness and scalability of the approach. …”
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Beyond condoms: unpacking the complex web of stigma, cost and gender disparities in STI healthcare-seeking among high-risk subgroups in Sub-Saharan Africa by Joseph Opeolu Ashaolu, Steven Ogunbola, Kehinde R. Odewumi, Oluwayemisi Bukola Tanimowo, Sylvain Y. M. Some

“…Equitable intervention strategies using machine learning (XGBoost, Random Forest, Logistic Regression) on a retrospective database (N=400), from Ekiti State Teaching Hospital, Nigeria (January–October 2024) was modelled. …”
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Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations by Jia Tang, Virgílio A. Bento, Dalei Hao, Yelu Zeng, Pengcheng Guo, Yu Chen, Qianfeng Wang, Huicong Jia

“…Time-series of NDVI and surface reflectance are analyzed under both actual observations and simulated data-missing scenarios. The constructed time-series data reveals that (1) the modified Fit-FC and linear harmonic fitting model achieve excellent performance in constructing high-resolution time-series images; (2) the fusion method outperforms the fitting method in constructing time-series of NDVI and surface reflectance images in cropland-, forest-, and grassland-dominated regions; (3) both methods achieve comparable performance in developed-dominated regions; (4) the fusion method is more robust to missing data, and better captures abrupt phenological transitions under conditions of continuous missing data; (5) the fitting method is computationally more efficient, making it suitable for large-scale time-series image reconstruction. …”
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Changing grizzly bear space use and functional connectivity in response to human disturbance in the southern Canadian Rocky Mountains by Eric C. Palm, Clayton D. Apps, Tal Avgar, Melanie Dickie, Bruce N. McLellan, Joseph M. Northrup, Michael A. Sawaya, Julie W. Turner, Jesse Whittington, Erin L. Landguth, Katherine A. Zeller, Clayton T. Lamb

“…Grizzly bears in the southern Canadian Rocky Mountains face increasing habitat alteration from roads, forest harvest, human settlements, and mining, which can alter the way animals move through the landscape. …”
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Predicting Abnormal Stock Return Volatility Using Textual Analysis of News ‒ A Meta-Learning Approach by Renáta Myšková, Petr Hájek, Vladimír Olej

“…Moreover, we use meta-learning approach to simulate the decision-making process of various investors. …”
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An Overview of Recent AI Applications in Combined Heat and Power Systems by Ashkan Safari, Arman Oshnoei

“…Artificial Intelligence (AI) models, such as Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Random Forest, are described and applied to a simulated CHP system. …”
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Environmental Impact of Irgarol 1051, a Biocide, on Marine Microalgae Metabolism: A Case Study of <i>Chlorella salina</i> and <i>Dunaliella bardawil</i> by Mona I. A. Kaamoush, Antonio Scopa, Marios Drosos, Ahmed M. El-Zeiny

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Predicting Land Use Land Cover Dynamics and Land Surface Temperature Changes Using CA-Markov-Chain Models in Islamabad, Pakistan (1992&#x2013;2042) by Muhammad Farhan, Taixia Wu, Sahrish Anwar, Jingyu Yang, Syed Ali Asad Naqvi, Walid Soufan, Aqil Tariq

“…Cellular automata (CA) models are employed for simulating geographical distributions, while Markov-Chain models are utilized for simulating temporal changes. …”
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Defensive Behavior in Rhinella bergi and Rhinella mirandaribeiroi (Anura: Bufonidae) by Ibrahim Kamel Rodrigues Nehemy, Sarah Mângia, Priscila Santos Carvalho, Diego José Santana Sarah Mângia

“…We assume that the species that inhabit these areas exhibit this avoiding predation behavior simulating a dead body on the ground, behavior known as “death feigning”, unlike forest spe-cies, which use this strategy to camouflage themselves between the leaves.…”
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