A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

“…By leveraging both the feature extraction strengths of Convolutional layers, which capture spatial hierarchies from input, and the ability of Gated Recurrent Unit (GRU) layers to learn long-term dependencies, the proposed CGRU model can capture both spatial and temporal features of atmospheric corrosion data within time-series signals, resulting in precise predictions. …”
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Real‐Time Detection, Location, and Measurement of Geoeffective Stellar Flares From Global Navigation Satellite System Data: New Technique and Case Studies by Manuel Hernández‐Pajares, David Moreno‐Borràs

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Obtaining a Land Use/Cover Cartography in a Typical Mediterranean Agricultural Field Combining Unmanned Aerial Vehicle Data with Supervised Classifiers by Ioannis A. Nikolakopoulos, George P. Petropoulos

“…Unmanned aerial vehicles (UAVs) provide high-resolution data, enhancing the capability for accurate LULC representation at potentially very high spatial resolutions. …”
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Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal. by Susana Lavado, Eduardo Costa, Niclas F Sturm, Johannes S Tafferner, Octávio Rodrigues, Pedro Pita Barros, Leid Zejnilovic

“…To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality. …”
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Pioneering era in paediatric tuberculosis: Utilization of 3D printing technology by Shubham Singh, Mohit Kumar, Deeksha Choudhary, Devesh Kumar, Dikshant, Shital Zambad, Shruti Chopra, Manjeet Bansal, Amit Bhatia

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Molecular interaction study of L-Ornithine with bovine serum albumin using spectroscopic and molecular docking methods by Sakshi Koundal, Apoorva Pathania, Harman Deep Kour, Anu Radha Pathania, Jatinder Kaur, Bhanu Juneja, Girish Chandra Sharma, Abhijit Bhowmik, A. Johnson Santhosh

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Performance Optimization of 5G–Satellite Integrated Networks for IoT Applications in Smart Cities: A Two-Ray Propagation Model Approach by Mfonobong Uko, Sunday C. Ekpo, Sunday Enahoro, Fanuel Elias

“…The convergence of 5G terrestrial networks with satellite systems offers a revolutionary approach to achieving global, seamless connectivity, particularly for Internet of Things (IoT) applications in urban and rural settings. This paper investigates the implications of this 5G–satellite integrated network architecture, specifically through the application of the two-ray propagation model and the free-space path loss (FSPL) model. …”
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Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data by Geonung Park, Bonggeun Song, Kyunghun Park

“…The results demonstrate that the proposed framework is applicable for use in urban areas globally that have similar ecological conditions. …”
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Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study by Neil J Sebire, Stephen D Marks, John Booth, Spiros Denaxas, Rebecca Pope, William A Bryant, Maria H Eriksson

“…Aim Interactions between patients and healthcare professionals (HCP) during hospital admissions are complex and difficult to interrogate using traditional analysis of electronic patient record (EPR) data. The objective of this study was to determine the feasibility of applying temporal network analytics to EPR data, focusing on HCP–patient interactions over time.Method Network (graph) analysis was applied to routinely collected structured data from an EPR for HCP interactions with individual patients during admissions for patients undergoing renal transplantation between May 2019 and June 2023. …”
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Machine Description File-based Monte Carlo Simulation Modeling and its Validation Using Pencil Beam Scanning Proton Therapy Commissioning Data by Umesh Bharat Gayake, Bhushankumar J. Patil, Kantaram Darekar, Gaurav T. Bholane, Sanjay D. Dhole, Lalit Chaudhary, Siddhartha Laskar

“…Purpose: This study aims to detail the machine description file (MDF)-based modeling and validation of the independent Monte Carlo (MC) dose engine using commissioning beam data of a multi-gantry Proteus Plus proton pencil beam scanning (PBS) machine, also, enhancing the understanding of its operational parameters and clinical applications. …”
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Validation of the NISAR Multi-Scale Soil Moisture Retrieval Algorithm across Various Spatial Resolutions and Landcovers Using the ALOS-2 SAR Data by Preet Lal, Gurjeet Singh, Narendra N. Das, Rowena B. Lohman

“…High-resolution soil moisture data are essential for numerous geophysical applications, enabling improved decision-making in environmental and resource management. …”
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Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland by Krystian Kozioł, Natalia Borowiec, Urszula Marmol, Mateusz Rzeszutek, Celso Augusto Guimarães Santos, Jerzy Czerniec

“…These findings enabled the development of visibility prediction maps, guiding the optimal timing of aerial surveys and minimizing the risk of unsuccessful data acquisition. The results underscore the effectiveness of integrating meteorological data with satellite imagery in archeological research. …”
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Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

“…However, a real-time and automated framework for detecting migrating eels in real-world applications is currently lacking. Leveraging imaging sonar as a reliable technology for fish passage monitoring in dark, turbid and high-flow environments, field data are acquired using imaging sonar and then converted to single sonar frames/images for subsequent analysis. …”
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Biomarker and clinical data–based predictor tool (MAUXI) for ultrafiltration failure and cardiovascular outcome in peritoneal dialysis patients: a retrospective and longitudinal st... by Eva María Arriero-País, María Auxiliadora Bajo-Rubio, Roberto Arrojo-García, Pilar Sandoval, Guadalupe Tirma González-Mateo, Patricia Albar-Vizcaíno, Gloria del Peso-Gilsanz, Marta Ossorio-González, Pedro Majano, Manuel López-Cabrera, Gloria del Peso-Gilsanz

“…PD outcomes were analysed in four categories (endurance, exit from PD, cause of PD end, technical failure) by using MMT biomarkers in effluents and clinical databases.Results MMT biomarkers and clinical data can predict PD with a mean absolute error of 16.99 months by using an Extra Tree (ET) regressor. …”
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Reconcilable differences: Using retrospective photogrammetry to bridge the divide between analogue and digital site data collected during long-term excavation projects. by Ole Fredrik Unhammer, Magnus Mathisen Haaland, Simon James Armitage, Christopher Stuart Henshilwood, Karen Loise van Niekerk

“…Our approach would be applicable to a wide variety of sites and contexts where long-running excavations have produced a mix of analogue and digital field data.…”
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stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning by Xin Lu, Murong Zhou, Bo Gao, Fang Wang, Shuilin Jin, Qiaoming Liu, Guohua Wang

“…Our study highlights its broad applicability and outstanding performance in analyzing spatial transcriptome data. …”
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Identifying risk factors for cancer-specific early death in patients with advanced endometrial cancer: A preliminary predictive model based on SEER data. by Jing Yang, Qi Tian, Guang Li, Qiao Liu, Yi Tang, Dan Jiang, Chuqiang Shu

“…Future work may explore its performance with additional data to ensure broad applicability.…”
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Identification of surface thermal environment differentiation and driving factors in urban functional zones based on multisource data: a case study of Lanzhou, China by Yixuan Wang, Yixuan Wang, Shuwen Yang, Shuwen Yang, Shuwen Yang

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Epidemiological trends and risk factors of chronic obstructive pulmonary disease in young individuals based on the 2021 global burden of disease data (1990–2021) by Yaolin Li, Fangtao Yan, Lixiang Jiang, Wang Zhen, Xiayahu Li, Huiqin Wang

“…Clinical trial number Not applicable.…”
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Meta-analysis of proteomics data from osteoblasts, bone, and blood: Insights into druggable targets, active factors, and potential biomarkers for bone biomaterial design by Johannes R Schmidt, Klaudia Adamowicz, Lis Arend, Jörg Lehmann, Markus List, Patrina SP Poh, Jan Baumbach, Stefan Kalkhof, Tanja Laske

“…To make this framework widely applicable to other research questions, we have published a detailed tutorial of our meta-analysis process. …”
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