Low-Cost Sensor Network for Air Quality Assessment in Cabo Verde Islands by Anedito Zico da Costa, José P. S. Aniceto, Myriam Lopes

“…Future research should focus on these issues, and a sensor network integrated with reference methods could be a great asset to enhance data accuracy and improve outcomes of air quality monitoring in the country.…”
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Sign Language Sentence Recognition Using Hybrid Graph Embedding and Adaptive Convolutional Networks by Pathomthat Chiradeja, Yijuan Liang, Chaiyan Jettanasen

“…Recognizing sign language sentences remains a significant challenge due to their complex structure, variations in signing styles, and temporal dynamics. …”
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YOLO-SR: An optimized convolutional architecture for robust ship detection in SAR Imagery by Chi Kien Ha, Hoanh Nguyen, Vu Duc Van

“…Experimental results on SAR ship detection datasets confirm that YOLO-SR outperforms state-of-the-art methods in both precision and recall, while retaining competitive inference speeds. …”
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Mathematical bridge between epidemiological and molecular data on cancer and beyond. by Saumitra Chakravarty, Khandker Aftarul Islam, Shah Ishmam Mohtashim

“…<h4>Background</h4>At least six different mathematical models of cancer and their countless variations and combinations have been published to date in the scientific literature that reasonably explain epidemiological prediction of multi-step carcinogenesis.] …”
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Experimental study on boundary lubricity of superficial area of articular cartilage and synovial fluid by Wenxiao Li, Takehiro Morita, Yoshinori Sawae

“…However, a certain group of cartilage specimens exhibited a low COF of less than 0.1 with limited variation. For the low COF group of specimens, all four treatments increased the COF in PBS to different extents, and fluorescence microscopy revealed that the integrity of the cartilage surface was deteriorated by treatments. …”
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Robust Face Recognition Using Deep Learning and Ensemble Classification by Pavani Chitrapu, Mahesh Kumar Morampudi, Hemantha Kumar Kalluri

“…Poor lighting conditions can obscure facial features, introduce shadows, and distort spatial relationships, while changes in pose are critical for accurate identification. Existing methods often struggle to strike a balance between accuracy, computational efficiency, and robustness. …”
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Association between platelet/high-density lipoprotein cholesterol ratio and blood eosinophil counts in American adults with asthma: a population-based study by Qian Zhao, Peng Yang, Jing-Pan Li, Lei Du, Wei Wang, Si-Xuan Zhu, Shan Wu, Yun-Feng Chen

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Mars Orientation Parameters Estimation with Simulated Same Beam Interferometry by Yixiao Liu, Bo Wang, Jianguo Yan, Shangbiao Sun, Wanling Yang, Jean-Pierre Barriot

“…Two-way range integrated with SBI achieves up to 45% precision gain about these three parameters, for certain rigid amplitudes and LOD variation, there are also different durations and degrees of accuracy improvement before the 600th mission day, with no significant improvement in polar motion parameters. …”
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Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

“…Methods: Two areas were connected through an AC tie line in parallel with a DC link to stabilize the frequency of oscillations in both areas. …”
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Clinical Anatomy and Diagnostic Challenges in Peripheral Nerve Trauma for the Forensic Physician by Sorin Hostiuc, Oana-Mihaela Ciobanu, Eliza Popa, Raluca Căținaș, Amalia Maria Ionescu-Mihăiță, Andreea Sima, Ionut Negoi, Mihnea Costescu

“…We conducted a comprehensive review of the medical–legal evaluation framework needed to evaluate peripheral nerve injuries, with particular emphasis on anatomical variations, imaging techniques, and methods to assess the timing of injury. …”
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Regimes with high levels of pressure pulsations in the model of Francis-99 hydro-turbine draft tube by I. V. Litvinov, A. S. Mitryakov, S. I. Shtork

“…It is shown that PVC appears when the integral swirl parameters becomes larger than 0,5.…”
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Clinical and analytical validation of a combined RNA and DNA exome assay across a large tumor cohort by Anastasiya Yudina, Cagdas Tazearslan, Artur Baisangurov, Ekaterina Nuzhdina, Kelley Lauziere, Vitaly Segodin, Svetlana Podsvirova, Sergey Starikov, Madison Chasse, Kirill Shaposhnikov, Leznath Kaneunyenye, Olesia Klimchuk, Natalia Kuzkina, Noel English, Gleb Khegai, Danielle Sookiasian, Daria Shafranskaya, Dawn Fernandez, Yaroslav Lozinsky, Andrew Sobolev, Mary Abdou, Polina Turova, Konstantin Chernyshov, Alexey Efremov, Samuel Andrewes, Aviva Feinberg, Brianna McKenna, Jessica H. Brown, Anna Love, John Curran, Jochen Lennerz, Alexander Bagaev

“…Methods We developed and validated an assay that integrates RNA-seq and WES for evaluating gene expression, gene fusions, tumor microenvironment signatures, somatic single nucleotide variants (SNVs), insertions/deletions (INDELs), and copy number variations (CNVs). …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…Existing segmentation methods encounter challenges such as managing size variations, interpreting contextual relationships, and integrating multi-source data. …”
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Color polymorphic carnivores have faster speciation rates by Moritz M. Heuer, Klaus Fischer, Laura Tensen

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The Acute Effects of 25- Versus 60-Minute Naps on Agility and Vertical Jump Performance in Elite Youth Soccer Players: The Role of Individual Chronotype by Özgür Eken, Mertkan Öncü, Ahmet Kurtoğlu, Oguzhan Bozkurt, Musa Türkmen, Monira I. Aldhahi

“…These findings suggest that integrating napping strategies into athletic training programs, while considering individual chronotypic variations, may present opportunities for enhancing specific aspects of athletic performance. …”
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The Impact of Physical Exercise on Driver Attention Reaction Time and Decision Making by Yan Xianyou, Jie Bai

“…This paper presents an advanced Attention-Driven Reaction Framework (ADRF) to model the dynamic interplay between driver attention and reaction under complex road conditions. Traditional methods often rely on static or linear models, failing to capture temporal dependencies and individual variations. …”
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PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

“…Existing object detection methods focus on integrating convolutional neural networks (CNNs) and Transformer networks to explore local and global representations to improve performance. …”
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Fluorescence spectroscopy as a novel tool in hematological diagnostics by Nugzar Gomidze, Lali Kalandadze, Miranda Khajishvili, Omar Nakashidze, Izolda Jabnidze, Davit Jakobia, Kakha Makharadze

“…The findings demonstrate that fluorescence spectroscopy provides complementary diagnostic insights, detecting subtle physiological variations in blood composition that conventional methods might overlook. …”
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Feasibility of decentralised deployment of Xpert MTB/RIF test at lower level of health system in India. by Neeraj Raizada, K S Sachdeva, Achuthan Sreenivas, Bhavin Vadera, R S Gupta, Malik Parmar, Shubhangi Kulsange, Ameet Babre, Rahul Thakur, Christen Gray, Ranjani Ramachandran, Umesh Alavadi, Mayank Ghedia, Balasangameshwara Vollepore, Puneet Dewan, Catharina Boehme, C N Paramsivan

“…Significant variation was observed in failure rates both across instruments and over time; furthermore, substantial variation was observed in failure rate in two cartridges lots.…”
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Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania by Simon Chidodo, Simon Chidodo, Lulu Zhang, Azin Zarei, Karl-Heinz Feger

“…This study analyzed LULC dynamics from 1983 to 2022 in the Sigi River watershed (887 km2) in the East Usambara Mountains, a biodiversity hotspot and critical water source in northeastern Tanzania.Methods:Multi-temporal Landsat satellite images were classified using the Random Forest algorithm to assess LULC transitions across elevation and slope gradients.Results:The results revealed marked variations in LULC change across topographic zones. …”
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