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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The Effect of Gamified Physical Activities on the Quality of Students' Leisure Time (Case Study: Female Secondary School Students in Ardabil City) by aylar sefidgar, Hamed Kheirollahi Meidani, Mehrdad Moharramzadeh

“…Excessive engagement with computer games by students and emulation of these games can foster tension and unhealthy behaviors. …”
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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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PhaPl: software to plot and research phase portraits automatically by A. A. Cherepanov

“…The software supports linear and nonlinear autonomous systems of 2 differential equations. …”
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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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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…As a result, digital pathology could potentially lead to safer more efficient working. In order to use digital pathology in practice, we need to know pathologists produce equivalent reports as compared to light microscopy. …”
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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…By bridging artificial intelligence-based classification with human-intuitive decision-making, this approach holds promise for clinical applications. Future work will focus on real-time deployment in healthcare settings to support epilepsy diagnosis and monitoring. …”
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Evaluation of a biomarker for amyotrophic lateral sclerosis derived from a hypomethylated DNA signature of human motor neurons by Calum Harvey, Alicja Nowak, Sai Zhang, Tobias Moll, Annika K Weimer, Aina Mogas Barcons, Cleide Dos Santos Souza, Laura Ferraiuolo, Kevin Kenna, Noah Zaitlen, Christa Caggiano, Pamela J Shaw, Michael P Snyder, Jonathan Mill, Eilis Hannon, Johnathan Cooper-Knock

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Numerical analysis of the thermal and electrical performance of concentrated photovoltaic systems integrated with multiple phase change materials by Atef Chibani, Slimane Merouani, Riad Badji, Farhan Lafta Rashid, Mohamed Kezzar, Sahar Ahmed Idris, Mohamed Rafik Sari, B. Rushi Kumar, Sunitha Nagarathnam

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Modeling of Ionization and Recombination Processes in Plasma with Arbitrary Non-Maxwellian Electron Distribution by Chengcai Shen, Xiaocan Li, Yuan-Kuen Ko, John C. Raymond, Fan Guo, Vanessa Polito, Viviane Pierrard

“…For standard κ -distributions, the calculated ionization and recombination rate coefficients show comparable accuracy to other public packages. Additionally, our methods support arbitrary electron distributions and can be easily extended to updated atomic databases. …”
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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

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On Extended Numerical Discretization Technique of Fractional Models with Caputo-Type Derivatives by Reem Allogmany, S. S. Alzahrani

“…The ENDT method offers accuracy, stability, and efficiency compared to traditional methods. It effectively handles challenges in complex systems, supports any fractional order, is simple to implement, improves computing efficiency with sophisticated methodologies, and applies it to epidemic predictions and biological simulations.…”
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TCN enhanced novel malicious traffic detection for IoT devices by Liu Xin, Liu Ziang, Zhang Yingli, Zhang Wenqiang, Lv Dong, Zhou Qingguo

“…Experiments show that this work has better detection performance and faster detection speed compared to existing approaches, proving the effectiveness of the proposed detection flow and Multi-class S-TCN in IoT scenarios.…”
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A Robust Vibration Control of a Magnetorheological Damper Based Railway Suspension Using a Novel Adaptive Type 2 Fuzzy Sliding Mode Controller by Sy Dung Nguyen, Dongsoo Jung, Seung-Bok Choi

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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…Businesses need a dynamic tool to support their digital innovation management efforts. …”
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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

“…The developed model showed also strong predictive performance for indicative agricultural fields located in Europe and North America, reducing considerably the computational time by an average of 73.4% compared to the corresponding analytical approach. …”
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Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection by Tsedeke Temesgen Habe, Keijo Haataja, Pekka Toivanen

“…Its clinical potential lies in supporting faster and more accurate diagnosis. Future work will focus on further optimization and deployment in endoscopic video analysis systems.…”
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