Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

“…Moreover, ethical and privacy concerns related to the handling of sensitive visual data remain insufficiently addressed, highlighting the need for robust privacy safeguards, transparent data governance, and effective bias mitigation protocols. …”
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Using DIMet for Differential Analysis of Labeled Metabolomics Data: A Step-by-step Guide Showcasing the Glioblastoma Metabolism by Johanna Galvis, Joris Guyon, Thomas Daubon, Macha Nikolski

“…Its pathway-based "metabologram" visualizations effectively integrate metabolomics and transcriptomics data, offering a versatile platform capable of analyzing corrected tracer datasets across diverse systems, organisms, and isotopes. …”
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<italic>PhotonBathymetry</italic>: An Interactive Software for Nearshore Bathymetry Using ICESat-2 Data and Multispectral Images by Shuai Xing, Songtao Guo, Guoping Zhang, Xinlei Zhang, Pengcheng Li, Dandi Wang, Li Chen, Ming Gao, Qing Xu

“…The results demonstrate that PBathy not only successfully performs bathymetric retrieval but also offers additional features such as visual querying of laser altimetry data and multispectral imagery. …”
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High-resolution RGB image dataset for wheat seed varietal identification and purity assessmentZenodoMendeley Data by Mehreen Nawaz, Sadaf Safder, Shazia Riaz, Saqib Ali

“…Recognizing and identifying seed varieties is still performed manually through direct visual inspection, which is labor-intensive, time-consuming, and prone to errors. …”
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Modelling Euphrates river water quality index based on field measured data in Al-Diwaniyah City, Iraq by Marwah M. Al-Khuzaie, Khairul Nizam Abdul Maulud, Wan Hanna Melini Wan Mohtar, Zaher Mundher Yaseen

“…In this study, the HPI is used to identify areas with high pollution levels, validate the accuracy of the ANN model for prediction, and generate a pollution map to visualize pollution levels.…”
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New data on the structure and motion of the ice sheet in the area of a runway of the Novolazarevskaya Reserch Station (East Antarctica) by A. S. Boronina, M. P. Kashkevich, S. V. Popov, E. M. Mikhailov, A. E. Druzhin

“…In the long term, this area, as well as about 400 m at the end of the runway, are the most unstable. A joint analysis of data on the displacement of runway markings for 2021 and 2023/24 showed that values of the deformations may differ by an order of magnitude from year to year. …”
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Post-market Surveillance Analysis of Refractive Data in Users of Delivery Tyro®, a Tyrosine-Releasing Contact Lens by Diego Ponzin, Adriano Fasolo, Giancarlo Montani, Daniele Bazzocchi

“…The purpose of the analysis was to compare the observed myopia progression in Delivery Tyro® users with expected rates based on control SE refraction data derived from meta-analyses of similar age and ethnic cohorts. …”
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Real-World Data on Morphological and Functional Responses After Switching to Faricimab in Recalcitrant, Chronic Diabetic Macular Edema by Viktoria Deiters, Anna Lorger, Franziska Eckardt, Jakob Siedlecki, Benedikt Schworm, Siegfried G. Priglinger, Tina R. Herold

“…The main outcome measures were central subfield thickness (CST) and best-corrected visual acuity (BCVA) changes before and after switching to faricimab. …”
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The physical therapy efficacy index and chart: a stimulus for value-based healthcare using real-world data by Henri Kiers, Richard A.W. Felius, Martijn W. Heijmans, Arie C. Verburg

“…The PE-Index discriminative value was assessed using a linear mixed model with physiotherapy practices as a random effect in real-world data from a national registry. Variation attributed to practices was quantified by an intraclass correlation coefficient. …”
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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

“…This work is the first to perform online fault prediction with natural language and visual explainability. The experiments were performed with the Metropt data set from the metro operator of Porto, Portugal. …”
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A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…In this scenario, EBM and XGBoost presented greater performances for both satellite data compared. These findings emphasize EBM's consistent superiority, indicating that its enhanced interpretability can facilitate more precise feature selection and model refinement, particularly for Sentinel-2 imagery.…”
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A Fast and Efficient Denoising and Surface Reflectance Retrieval Method for ZY1-02D Hyperspectral Data by Qiongqiong Lan, Yaqing He, Qijin Han, Yongguang Zhao, Wan Li, Lu Xu, Dongping Ming

“…To address these issues, aiming at fast and efficient processing of Chinese domestic ZY1-02D hyperspectral level-1 data, this study proposes a comprehensive processing framework: (1) To address the low efficiency of traditional bad line detection by visual examination, an automatic bad line detection method based on the pixel grayscale gradient threshold algorithm is proposed; (2) A spectral correlation-based interpolation method is developed to overcome the poor performance of adjacent-column averaging in repairing wide bad lines; (3) A reliable validation method was established based on the spectral band adjustment factors method to compare hyperspectral SR with multispectral SR and in-situ ground measurements. …”
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Reflectance spectrometry and multispectral data for mapping fractures and hydrothermal alterations in the northern edge of the eastern High Atlas, Morocco by Asma Zouggarh, Mourad Essalhi, Adnane Tobi, Omar Saidi, Daoud El Azmi, Mohammed Boumehdi, Saloua Mnissar Himyari

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Insights from feature tracking of optical satellite data for studying rock glacier kinematics in the Northern Tien Shan by Ella Wood, Ella Wood, Tobias Bolch, Tobias Bolch, Richard Streeter

“…We observed bimodal velocity distributions on a number of rock glaciers, highlighting the limitations of using mean and median statistics for characterising rock glacier activity. Sentinel-2 data was capable of detecting kinematic patterns that closely reflected those identified by high-resolution Pléiades data. …”
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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data by Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven Longmore, Serge Wich

“…Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps. We introduce a two-stage system: YOLOv10-X to localise and classify species (mammals and birds) within images and a Phi-3.5-vision-instruct model to read YOLOv10-X bounding box labels to identify species, overcoming its limitation with hard-to-classify objects in images. …”
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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data by Beom Joon Kim, Jeong Hyeon Mun, Dae Hwan Hwang, Dong In Suh, Changwon Lim, Kyunghoon Kim

“…We then developed a deep learning model that applied the pre-trained weights of the AST model to our data with a total of 194 wheezes and 531 other respiratory sounds. …”
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Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach by Youngmin Bhak, Yu Ho Lee, Joonhyung Kim, Kiwon Lee, Daehwan Lee, Eun Chan Jang, Eunjeong Jang, Christopher Seungkyu Lee, Eun Seok Kang, Sehee Park, Hyun Wook Han, Sang Min Nam

“…MethodsThe 3 models were developed and validated: eGFR-RIDL (estimated glomerular filtration rate–retinal image deep learning), eGFR-UDLR (logistic regression using urine dipstick data), and eGFR-MMDL (multimodal deep learning combining retinal images and urine dipstick data). …”
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High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks by Hong Zhang, Zhikang Lu, Peicong Gong, Shilong Zhang, Xiaoquan Yang, Xiangning Li, Zhao Feng, Anan Li, Chi Xiao

“…However, obtaining a batch of raw array mouse brain data at a resolution of $$0.65 \times 0.65 \times 3 \,\upmu \hbox {m}^{3}$$ 0.65 × 0.65 × 3 μ m 3 can reach 220TB, and the cropping of the outer contour areas in the disjointed processing still relies on manual visual observation, which consumes substantial computational resources and labor costs. …”
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A deep learning model for detecting and classifying multiple marine mammal species from passive acoustic data by Quentin Hamard, Minh-Tan Pham, Dorian Cazau, Karine Heerah

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Expression and clinical significance of FANCI gene in pan-cancer: a comprehensive analysis based on multi-omics data by Yunzheng Zhao, Yunzheng Zhao, Qingyu Li, Qingyu Li, Jiajun Li, Jiajun Li, YiFeng Cui, YiFeng Cui, Zhaoyang Lu, Zhaoyang Lu

“…This investigation seeks to clarify the expression profiles, prognostic relevance, and diagnostic capabilities of FANCI across multiple malignancies, along with its links to immune cell infiltration, genetic alterations, protein-protein interactions, and functional roles.MethodsBy utilizing data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, we conducted a comprehensive analysis of FANCI mRNA expression using R software and visualized the results with the ggplot2 package. …”
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