Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

“…Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground enforcement practices to curb deforestation rates. …”
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“Is that a policy thing or is that a guard thing?”: A qualitative study of providers’ experiences supporting pregnant individuals incarcerated in Ontario, Canada by Xaand Bancroft, Audrey Ferron Parayre, Amy McGee, Lisa Morgan, Wendy Peterson

“…This study underscores the multifaceted, systemic barriers providers encounter, enhancing our understanding of the complexities surrounding perinatal care in carceral settings. …”
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Imaging the enteric nervous system by Doriane Hazart, Doriane Hazart, Marwa Moulzir, Brigitte Delhomme, Martin Oheim, Clément Ricard

“…However, this method has limitations representing the full complexity of the ENS’s 3-D meshwork, which led to the development of more intact preparations, such as whole-mount preparation, as well as the use of volume imaging techniques. …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Leaf Water Storage Capacity Among Eight US Hardwood Tree Species: Differences in Seasonality and Methodology by Natasha Scavotto, Courtney M. Siegert, Heather D. Alexander, J. Morgan Varner

“…The objective of this study was to determine how the leaf water storage capacity varies across species and canopy layers, and how these relationships change throughout the growing season. …”
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Integrating geographic information systems into veterinary education within the one health framework: an interdisciplinary approach by Antonio Contreras, Víctor Cuevas, Jorge Rivera-Gomis, Jorge Rivera-Gomis, Antonio Sánchez, Pelayo Acevedo, Joaquin Vicente

“…The ability to visualize epidemiological patterns and combine health and production data with environmental risk layers fosters student engagement and spatial reasoning. …”
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Functionalization of sawdust biochar using Mg-Fe-LDH and sodium dodecyl sulfonate enhanced its stability and immobilization capacity for Cd and Pb in contaminated water and soil by Xin Pan, Shaoping Kuang, Xiao Wang, Habib Ullah, Zepeng Rao, Esmat F. Ali, Qumber Abbas, Sang Soo Lee, Sabry M. Shaheen

“…As a novel surface modification technology, the effect of layered double hydroxides (LDH) and sodium dodecyl sulfonate (SDS) on the remediation capacity of biochar for PTE polluted soils and water remains unclear. …”
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Prediction of hydrogen production in proton exchange membrane water electrolysis via neural networks by Muhammad Tawalbeh, Ibrahim Shomope, Amani Al-Othman, Hussam Alshraideh

“…The prediction and optimization of hydrogen production rates (HPRs) in PEMWE systems is difficult and still challenging because of the complexity of the system as well as the operational parameters. …”
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Microaggregates as Nutrient Reservoirs for Fungi Drive Natural Regeneration in Larch Plantation Forests by Yiping Lin, Kefan Wang, Zilu Wang, Xin Fang, Haomin Wang, Nuo Li, Cong Shi, Fuchen Shi

“…Fungal co-occurrence networks displayed peak complexity during <i>Juglans mandshurica</i> germination (Node 50, Edge 345), with 64.6%positive correlations, indicating the critical period for functional synergy. …”
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A Novel Green In Situ Amine-Functionalized Aerogel UiO-66-NH₂/TOCNF for the Removal of Azo Anionic Dyes by Rabia Amen, Islam Elsayed, Yunsang Kim, Gregory T. Schueneman, Emad M. El-Giar, El Barbary Hassan

“…A novel solution to this issue is to create a layered porous composite by encasing the MOF within a flexible and structurally robust aerogel substrate using safe, eco-friendly, and green solvents such as ethanol. …”
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A Deep Learning Methodology for Screening New Natural Therapeutic Candidates for Pharmacological Cardioversion and Anticoagulation in the Treatment and Management of Atrial Fibrill... by Tim Dong, Rhys D. Llewellyn, Melanie Hezzell, Gianni D. Angelini

“…<b>Background:</b> The treatment and management of atrial fibrillation poses substantial complexity. A delicate balance in the trade-off between the minimising risk of stroke without increasing the risk of bleeding through anticoagulant optimisations. …”
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Literary Analysis of al-Mutanabbī's Ode: Ab‘ad Na’y al-Malīḥa al-Bakhal by Adnan Arslan

“…The poet’s expertise in metaphor and simile manifests as layers of meaning throughout the qaṣīdah, revealing the depth of his expressive power. …”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…The increasing complexity of modern smart power distribution systems (SPDSs) has made anomaly detection a significant challenge, as these systems generate vast amounts of heterogeneous and time-dependent data. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…Furthermore, we implement a long short-term memory (LSTM) network with distinct advantage-value layers to enhance both short-term action selection and long-term system cost estimation, as well as improve the temporal learning capacity of the model. …”
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The Psychology of Manipulation: Sheridan Le Fanu’s Carmilla as the Archetypal Concept of the Predator – Victim Relationship in Contemporary Culture by Azra A. Mušović

“…The controversial theme and ambiguity of Carmilla’s interpretation provide a compelling example of the overlap among the mentioned disorders, providing deeper insight into the complexity of human nature and ambiguity of identity. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…IntroductionNeurodegenerative diseases, including Parkinson’s, Alzheimer’s, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. …”
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STUDY OF THE NEOTECTONIC STRUCTURE OF THE BRATSK WATER RESERVOIR BED by A. G. Dmitriev, K. G. Levi, A. G. Vakhromeev

“…Four structural-material complexes were identified: modern silts; underwater eluvial and alluvial deposits; disintegrated and low-strength bedrocks of the Upper Lena Formation; and unaltered bedrock sandstones and siltstones. …”
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Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region by Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Li, Wenjing Liu

“…Two sets of LiDAR-derived variables were employed for FCS modeling: a regular set (including height and density metrics) and an enhanced set (adding layered canopy entropy (LCE) metrics to the regular set). …”
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Research on the micro-pore structure and multiscale fractal characteristics of shale under supercritical CO2 action: A case study of the Chang 73 submember in the Ordos Basin, Chin... by Lili Jiang, Leng Tian, Zhangxing Chen, Zechuan Wang, Wenkui Huang, Xiaolong Chai

“…The interaction of both determines the evolution of shale pore structures, providing a valuable scientific basis and practical guidance for the optimal selection of carbon capture, utilization, and storage (CCUS) target layers.…”
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Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech by Julianna Olah, Win Lee Edwin Wong, Atta-ul Raheem Rana Chaudhry, Omar Mena, Sunny X. Tang

“…Our study aimed to (1) identify an optimal assessment approach for the online and remote collection of speech, in the context of assessing the psychosis spectrum and evaluate whether a fully automated, speech-based machine learning (ML) pipeline can discriminate among different conditions on the schizophrenia-bipolar spectrum (SSD-BD-SPE), help-seeking comparison subjects (MDD), and healthy controls (HC) at varying layers of analysis and diagnostic complexity. We adopted online data collection methods to collect 20 min of speech and demographic information from individuals. …”
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