Co-creation of the Digital Democracy and Data Commons Manifesto: alternative sociotechnical visions of data [version 2; peer review: 2 approved, 1 approved with reservations, 1 not... by Andreu Belsunces, Ricard Espelt, Enric Senabre Hidalgo, Mayo Fuster Morell, Sara Suárez Gonzalo, Antonio Calleja

“…We analyze the manifesto's evolution throughout the process, demonstrating its capacity to address contemporary concerns such as data extractivism and algorithmic governance. Our approach is based on participatory design methods, more concretely on a collaborative writing sprint, to co-create a manifesto on alternatives to current datafication, digital inequalities, and lack of citizen control over personal data. …”
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Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11 by Raiyen Z. Rakin, Mahmudur Rahman, Kanij F. Borsa, Fahmid Al Farid, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…The current infrastructure is crucial to metropolitan improvement. …”
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A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification by Shravan Venkatraman, S. Kanthimathi, K. S. Jayasankar, T. Pranay Jiljith, R. Jashwanth

“…This innovative approach addresses critical limitations in current models and advances the state of the art in network security.…”
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

“…Then these selected features are fed into Machine Learning algorithms such as Decision Tree (DT), Logistic Regression (LR), and Random Forest (RF). …”
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Applications of deep learning in trauma radiology: A narrative review by Chi-Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, Shih-Ching Kang

“…This narrative review provides the fundamental concepts for developing DL algorithms in trauma imaging and presents an overview of current progress in each modality. …”
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Boerhaave Syndrome - A Rare but Serious Esophageal Emergency by Paula Szarek, Jakub Kołacz, Patrycja Oleś, Marcin Kwiatkowski, Paulina Bochniak

“…Aim of the Study: This review aims to provide a comprehensive overview of the syndrome’s definition, pathophysiology, clinical characteristics, diagnostic algorithms, and current therapeutic strategies, emphasizing the pivotal role of early intervention in reducing morbidity and mortality. …”
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A Systematic Literature Review of Cyber Security Monitoring in Maritime by Risto Vaarandi, Leonidas Tsiopoulos, Gabor Visky, Muaan Ur Rehman, Hayretdin Bahsi

“…Although several literature review papers have been published in the field of maritime cyber security, none of the previous studies has focused on cyber security monitoring. The current paper addresses this research gap and surveys the methods, algorithms, tools and architectures used for cyber security monitoring in the maritime sector. …”
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Optimizing Problem-Solving in Technical Education: An Adaptive Learning System Based on Artificial Intelligence by Rommel Gutierrez, William Eduardo Villegas-Ch, Alexandra Maldonado Navarro, Sergio Lujan-Mora

“…This study proposes an adaptive learning system powered by deep learning algorithms designed to optimize problem-solving skills in technical college students. …”
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Influences and Optimizations of Vertical Facades on the Aerodynamic Loadings for High-Rise Buildings by Xu Cheng, Guoqing Huang, Bowen Yan, Qingshan Yang, Chao Wang, Bo Li, Shuguo Liang

“…The architectural facade, including balconies, vertical frames, and sunshades, is widely installed on the surfaces of high-rise buildings, and will affect the wind load and airflow around the buildings. However, current studies mainly focus on local wind pressure, with limited research on aerodynamic forces and a lack of optimization design methods for vertical facades. …”
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The Impact of AI-Driven Application Programming Interfaces (APIs) on Educational Information Management by David Pérez-Jorge, Miriam Catalina González-Afonso, Anthea Gara Santos-Álvarez, Zeus Plasencia-Carballo, Carmen de los Ángeles Perdomo-López

“…However, the review also identifies concerns about privacy, algorithmic bias, and limited methodological rigor in existing research. …”
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Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition by Zhiyun Zheng, Qilong Yuan, Huaizhu Zhang, Yizhou Wang, Junfeng Wang

“…However, it is challenging for current models to handle distant dependencies that commonly exist between human skeleton nodes, which hinders the development of algorithms in related fields. …”
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One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening by Saher Verma, Leander Maerkisch, Alberto Paderno, Leonard Gilberg, Bianca Teodorescu, Mathias Meyer

“…This review explores the expanding role of AI in radiology, where AI-driven algorithms can simultaneously detect multiple biomarkers and composite health measures, facilitating the opportunistic identification of conditions beyond lung cancer. …”
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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

“…Therefore, the implementation of IoT devices would give the farmer access to current readings when needed for making decisions and optimizing their resources on the most important parameters for agricultural activity. …”
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Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes by Doljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, Rumana Ferdushi, Jaesoo Kim, Jaehong Key, Erdenebayar Urtnasan

“…Despite several advancements, the current screening methods have limitations in enabling the robust and automated detection of depression, thereby hindering early diagnosis and timely intervention. …”
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Identification and analysis of pyroptosis-related key genes in heart failure by Jing Zhang, Zhijie Yue, Na Zhu, Na Zhao

“…Abstract Background Pyroptosis plays a pivotal role in the pathogenesis of Heart Failure (HF). However, the current understanding of how pyroptosis-related genes (PRGs) influence HF is scarce. …”
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Comprehensive analysis of senescence-related genes identifies prognostic clusters with distinct characteristics in glioma by Wenyuan Wei, Ying Dang, Gang Chen, Chao Han, Siwei Zhang, Ziqiang Zhu, Xiaohua Bie, Jungang Xue

“…However, accumulating scientific evidence suggests that senescent cells play a detrimental role in the progression of cancer. Unfortunately, the current lack of reliable markers that specifically reflect the level of senescence in cancer greatly hinders our in-depth understanding of this important biological foundation. …”
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Identification and validation of reference genes with stable expression under elicitor treatments of the medicinal plant Arnica montana L. by Magdalena Sozoniuk, Maria Petrova, Kiril Mishev, Kamelia Miladinova-Georgieva, Maria Geneva

“…Results The expression stability of nine candidate reference genes was evaluated using four widely used algorithms (geNorm, NormFinder, BestKeeper, and ΔCt method). …”
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The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…To evaluate the prediction capabilities of ML, this study examines the performance of several ML algorithms in estimating the total weight and location of vehicles on a bridge using strain sensing. …”
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A Review of Computer Vision Technology for Football Videos by Fucheng Zheng, Duaa Zuhair Al-Hamid, Peter Han Joo Chong, Cheng Yang, Xue Jun Li

“…In the era of digital advancement, the integration of Deep Learning (DL) algorithms is revolutionizing performance monitoring in football. …”
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Reassortment Dynamics: Phylogeography and Evolution of H4N9 Influenza Viruses by Nataliia A. Bobrova, Ekaterina D. Lisenenkova, Ekaterina S. Avsievich, Olga N. Mityaeva, Pavel Yu Volchkov, Andrey A. Deviatkin

“…However, our results suggest that the current understanding of the real distribution and genetic diversity is fragmented. …”
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