De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning by A. A. Pedro, F. Dadrass Javan, S. Georgievska, E. H. P. Barreto, O. Ku, F. de Oliveira, P. D. P. Oliveira, C. Gevaert

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The Role of Artificial Intelligence in Sports Analytics: A Systematic Review and Meta-Analysis of Performance Trends by Przemysław Pietraszewski, Artur Terbalyan, Robert Roczniok, Adam Maszczyk, Kajetan Ornowski, Daria Manilewska, Szymon Kuliś, Adam Zając, Artur Gołaś

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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Intrusion Detection Framework for Internet of Things with Rule Induction for Model Explanation by Kayode S. Adewole, Andreas Jacobsson, Paul Davidsson

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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials by Vera Malheiro, Beatriz Santos, Ana Figueiras, Filipa Mascarenhas-Melo

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Examining the role of social media in fostering responsible consumption: Insights from Bitcoin Adoption trends (2015–2023) by Yu Ge, Haochuan Wang, Kenny Soon Lee Cheah, Azni Zarina Binti Taha

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EDITORIAL: ARTIFICIAL INTELLIGENCE AND ITS TRANSFORMATIVE IMPACT ON SCIENTIFIC PUBLISHING by Abubakar Munir

“…Second, the risk of bias in AI algorithms is still an issue because AI algorithms learn from what is already in print form, thus potentially continuing existing biases in publishing materials (5). …”
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Directed carbapenemase testing is no longer just for Enterobacterales: cost, labor, and workflow assessment of expanding carbapenemase testing to carbapenem-resistant P. aeruginosa by Christian M. Gill, Poonam Rajkotia, Amity L. Roberts, Fred C. Tenover, David P. Nicolau

“…Extension of in-house carbapenemase testing to include P. aeruginosa provides actionable results 3–14 days earlier than PHL Standard Pathway testing, facilitating guided therapeutic decisions and infection prevention measures. …”
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UAV image analysis for detecting rice seedling gaps and gap effect on grain yield by Sanai Li, Yubin Yang, Jing Zhang, Lloyd T. (Ted) Wilson, Stanley Omar P.B. Samonte, Fugen Dou, Tanumoy Bera, Xin-Gen Zhou, Darlene Sanchez, Jing Wang

“…Analyses revealed that cultivar differences explained the largest proportion of yield variability (53.3 %), followed by the year × cultivar interaction (24.2 %), year (9.8 %) and gap fraction (1.9 %). …”
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Time to Disease Control with Dupilumab for Bullous Pemphigoid: A Systematic Review and Meta-analysis by Laurence Mainville, Lily Xu, Vincent Piguet, Aaron M. Drucker, David O. Croitoru

“…Randomized controlled trials are needed to determine dupilumab’s place in therapeutic algorithms for BP. PROSPERO number: CRD42024599235 …”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

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Development of over 30-years of high spatiotemporal resolution air pollution models and surfaces for California by Jason G. Su, Eahsan Shahriary, Emma Sage, John Jacobsen, Katherine Park, Arash Mohegh

“…This study presents the development of high-resolution (100 m) daily land use regression (LUR) models spanning 1989–2021 for nitrogen dioxide (NO2), fine particulate matter (PM2.5), and ozone (O3) across California. These machine learning LUR algorithms integrated comprehensive data sources, including traffic, land use, land cover, meteorological conditions, vegetation dynamics, and satellite data. …”
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Assessing the comparative effects of interventions in COPD: a tutorial on network meta-analysis for clinicians by Katrin Haeussler, Afisi S. Ismaila, Mia Malmenäs, Stephen G. Noorduyn, Nathan Green, Chris Compton, Lehana Thabane, Claus F. Vogelmeier, David M. G. Halpin

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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce by Alp Ecevit, İrem Öztürk, Mustafa Dağ, Tuncay Özcan

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Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN by Xubo Ma, Chuhua Huang, Xin Huang, Wangping Wu

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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

“…These findings suggest that machine learning algorithms could be valuable tools in clinical settings by helping predict culture results and guiding decisions on whether to initiate empiric antibiotic treatment.…”
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Data Interpretation in Structural Health Monitoring: Toward a Universal Language by Magda Ruiz, Óscar Gualdrón, José A. Peral Mondaza, Luis Eduardo Mujica Delgado

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Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population by Duo Zhang, Laurette Dubé, Antonia Gieschen, Catherine Paquet, Raja Sengupta

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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

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