Ultra-Lightweight Collaborative SLAM for Robot Swarms by Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini

“…Remarkably, we achieve a mapping accuracy below 30cm, a result comparable to high-end state-of-the-art solutions while reducing the cost, memory, and computation requirements by two orders of magnitude. …”
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Experimental validation of parked loads for a floating vertical axis wind turbine: wind–wave basin tests by Md. S. Hossain, D. T. Griffith

“…The datasets from this experimental work can serve as benchmarks for validating other computational parked load estimating tools, while the semi-numerical tool provides a way to gain insight into the unmeasurable quantities.…”
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Trench MOS Schottky Diodes: A Physics-Based Analytical Model Approach to Charge Sharing by Mohammed Tanvir Quddus, Alvaro D. Latorre-Rey, Zeinab Ramezani, Mihir Mudholkar

“…This work contributes to a valuable tool for TMBS device design, offering insights into electric field management that support high-efficiency, high-voltage applications, including power supplies, automotive electronics, and renewable energy systems.…”
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Using feature importance as an exploratory data analysis tool on Earth system models by D. Ries, K. Goode, K. McClernon, B. Hillman

“…Our analyses focus on data from ensembles of Earth system models (ESMs) which provide data on different climate states and conditions. We elect to work with ESM ensembles since they allow us to compare feature importance across alternative scenarios not available with observed data. …”
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Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety by Jason Pollock, Perk Lin Chong, Manu Ramegowda, Nashwan Dawood, Hossein Habibi, Zhonglan Hou, Foad Faraji, Pengyan Guo

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stormTB: a web-based simulator of a murine minimal-PBPK model for anti-tuberculosis treatments by Roberto Visintainer, Anna Fochesato, Anna Fochesato, Daniele Boaretti, Stefano Giampiccolo, Stefano Giampiccolo, Shayne Watson, Micha Levi, Federico Reali, Luca Marchetti, Luca Marchetti

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Qualitative Analysis of a COVID-19 Mathematical Model with a Discrete Time Delay by Abraham J. Arenas, Gilberto González-Parra, Miguel Saenz Saenz

“…We present a few numerical examples that support the theoretical analysis and the methodology. …”
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Physical inactivity exacerbates pathologic inflammatory signalling at the single cell level in patients with systemic lupusResearch in context by Sarah L. Patterson, Hoang Van Phan, Chun Jimmie Ye, Cristina Lanata, Sebastián Cruz González, Joonsuk Park, Lindsey A. Criswell, Kamil E. Barbour, Jinoos Yazdany, Maria Dall’Era, Marina Sirota, Patricia Katz, Charles R. Langelier

“…Specifically, we find that physical inactivity is associated with altered frequencies and transcriptional profiles of immune cell populations and may exacerbate pathologic inflammatory signalling via CD4+ and CD8+ T cells. Funding: This work was supported by the US National Institutes of Health (NIH) (R01 AR069616, K23HL138461-01A1, K23AT011768) the US CDC (U01DP0670), and the CZ Biohub.…”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…The most essential part of the nervous system is glial cells, which support the brain's functioning prominently. However, with the evolution of glioma, tumours form that invade healthy tissues in the brain, leading to neurological impairment, seizures, hormonal dysregulation, and venous thromboembolism. …”
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Low Testosterone Level and Mortality Risk in Patients With Prostate Cancer: A Post‐Randomization Analysis by Sayeh Fattahi, Ming‐Hui Chen, Jing Wu, Alicia C. Smart, Anthony V. D'Amico

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An interpretable and adaptable data-driven model for performance prediction in thermal plants by G. Prokhorskii, M. Preißinger, S. Rudra, E. Eder

“…By balancing predictive accuracy, interpretability, and transferability across plants, this work provides a practical framework for robust, data-driven monitoring and decision support in complex industrial power systems.…”
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A Systematic Approach for PLL-Based Zeta Power Converter Control by Nader El-Zarif, Christian Jesus B. Fayomi, Mohamed Ali, Mostafa Amer, Ahmad Hassan, Yvon Savaria

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The series solutions of fractional foam drainage and fractional modified regularized long wave problems by Abdul Hamid Ganie, N. S. Alharthi, Adnan Khan, Abdulkafi Mohammed Saeed, Mohd Asif Shah, Saurav Mallik

“…Furthermore, the results of this study support the value and significance of fractional operators in real-world applications.…”
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A Radar-Based Concept for Simultaneous High-Resolution Imaging and Pixel-Wise Velocity Analysis for Tracking Human Motion by Johanna Braunig, Simon Heinrich, Birte Coppers, Christoph Kammel, Vanessa Wirth, Marc Stamminger, Sigrid Leyendecker, Anna-Maria Liphardt, Ingrid Ullmann, Martin Vossiek

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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…A key contribution of this work is the integration of geospatial analytics into an interactive, open-source WebGIS environment—developed using Blender, QGIS, and Lizmap—to support predictive maintenance planning. …”
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Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques by Sedat Orenc, Mehmet Sirac Ozerdem, Emrullah Acar, Musa Yilmaz

“…These models also incurred significantly higher computational costs. In contrast, U-Net16 and U-Net32 demonstrated reduced segmentation accuracy compared to U-Net9. …”
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A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…This YOLOv8-based model incorporates a depth camera to precisely identify and locate impediments in the way of autonomous agricultural equipment. Firstly, this work integrates partial convolution (PConv) into the C2f module of the backbone network to improve inference performance and minimize computing load. …”
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Health management information system utilization and associated factors in public and private health facilities of Mogadishu, Somalia by Adam Sheikh Said, Dmitry Ivanovich Kicha, Yulia Sh. Gushchina, Amenti Teka Geferso, Maye Omar

“…Healthcare workers who had not received HMIS training were 60.9% less likely to use HMIS (AOR = 0.391, 95% CI: 0.200–0.764) compared to those who had received HMIS training. Health workers who did not receive regular supportive supervision were 69.5% less likely to use HMIS (AOR = 0.432, 95% CI: 0.218–0.856) than those who did receive regular supportive supervision. …”
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Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors by Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, Arun Jayaraman

“…Methods Forty-one individuals with stroke were recruited from two acute rehabilitation settings and completed brief walking bouts with two leg-worn IMUs. We compared foot-off (FO), foot contact (FC), and temporal gait parameters computed from the SGSA and EGSA against ground truth measurements from an instrumented mat. …”
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Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…This work proposes a computationally efficient approach for estimating the magnetization of Fe0.7Ni0.3 body-centered cubic (bcc) nanoparticles (NPs) at room temperature using machine-learning algorithms, in terms of the average magnetic moment per atom, ⟨μ⟩. …”
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