Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9 by Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Hendri Darmawan, Nguyen Khanh Son, Yi-Bing Lin, Mohammed J. F. Alenazi

“…Rice is pivotal in global food security and Rice seeding detection in precision agriculture is essential for optimizing crop productivity and efficient resource use. …”
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Initial evaluation of a state-wide multi-method survey to estimate koala occupancy and abundance by Graeme R. Gillespie, Nicole Gallahar, Allen P. McIlwee, Benjamin Douglas Hope, Elliot B. Webb, Matthew Clements, Veronica F. Gama, Madison Casley, Tim S. Jessop

“…Overall, the combined use of acoustic recorders and drones is highly advantageous because, where drones fail to detect koalas, acoustic recorder detections help eliminate false site absences, enhancing the precision of abundance estimates. …”
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Evaluation of the diagnostic concordance of FDA-approved PD-L1 assays in clear cell renal cell carcinoma by Yoko Koh, Taigo Kato, Gaku Yamamichi, Eisuke Tomiyama, Makoto Matsushita, Koji Hatano, Atsunari Kawashima, Norio Nonomura, Motohide Uemura

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Utilizing Nanopore direct RNA sequencing of blood from patients with sepsis for discovery of co- and post-transcriptional disease biomarkers by Jingni He, Devika Ganesamoorthy, Jessie J.-Y. Chang, Jianshu Zhang, Sharon L. Trevor, Kristen S. Gibbons, Stephen J. McPherson, Jessica C. Kling, Luregn J. Schlapbach, Antje Blumenthal, Lachlan J. M. Coin, RAPIDS Study Group

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The rise and evolving role of Fusobacterium nucleatum subspecies by Marietta Wolf, Thorsten Steinberg, Konstantin Johannes Scholz, Anne Kruse, Sama Rezasoltani, Georg Conrads, Ali Al-Ahmad, Fabian Cieplik

“…This review examines the classification, distribution, and detection methods of Fusobacterium nucleatum subspecies, focusing on their distinct roles in health and disease. …”
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Minimally Invasive and Emerging Diagnostic Approaches in Endometrial Cancer: Epigenetic Insights and the Promise of DNA Methylation by Floriana Porcaro, Antonella Paolucci, Piercarmine Porcaro, Gaetano Cardinale, Antonia Romitelli, Domenico Cozzolino, Serena Voccola

“…This review focuses on the role of DNA methylation as a potential biomarker for early EC detection. Aberrant DNA methylation in the promoter regions of tumor suppressor genes can lead to gene silencing and cancer progression. …”
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Application of a Fiber Optic-Based SHM System to a Composite Aircraft Wing and Its Technological Maturity Evaluation by Gianvito Apuleo, Monica Ciminello, Lorenzo Pellone, Umberto Mercurio, Antonio Concilio

“…Specifically, an original SHM architecture is herein presented, based on the use of distributed optical fibers, and implementing a proprietary algorithm, to detect bonding lines damage. Ground testing with a full-scale wing box successfully validated the system’s capability to identify damage. …”
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The participation in cervical cancer screening is not altered by the Hawthorne effect among patients of doctors participating in the randomized clinical trial PaCUDAHL by Gabrielle Lisembard, Michaël Rochoy, François Quersin, Valérie Deken, Alain Duhamel, Axel Descamps, Christophe Berkhout, Fanny Serman

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ALL diagnosis: can efficiency and transparency coexist? An explainble deep learning approach by Dost Muhammad, Muhammad Salman, Ayse Keles, Malika Bendechache

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AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis by Mahmood Khalghollah, Azam Zare, Esmaeil Shakeri, Behrouz Far, Amir Sanati-Nezhad

“…Here, we present AI-CMCA, an artificial intelligence framework designed for capillary microfluidic chip analysis, which automates fluid path detection and tracking using deep learning-based segmentation. …”
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FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems by Ruoxin Zhang, Angela An, Mingcan Cen, Chong Zhang, Aimee Huangfu, Sunny Vinnakota, Shuxiang Song

“…To address these issues, we propose FragMangro, a cross-domain zero-shot detection model designed to enhance the accuracy and generalization of mangrove detection. …”
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SMF-net: semantic-guided multimodal fusion network for precise pancreatic tumor segmentation in medical CT image by Wenyi Zhou, Ziyang Shi, Bin Xie, Fang Li, Jiehao Yin, Yongzhong Zhang, Linan Hu, Lin Li, Yongming Yan, Xiajun Wei, Zhen Hu, Zhengmao Luo, Wanxiang Peng, Xiaochun Xie, Xiaoli Long

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MRI based volumetric lung nodule assessment - a comparison to computed tomography by Tatjana Dell, Andreas Feisst, Olga Ramig, Yannik Layer, Narine Mesropyan, Alexander Isaak, Claus Pieper, Patrick Kupczyk, Julian Luetkens, Daniel Thomas, Daniel Kuetting

“…The study aimed to assess the feasibility and accuracy of in-vivo magnetic resonance imaging (MRI)-based volumetric assessment of lung nodules larger than 6 mm, in comparison to the current gold standard, CT.Materials and methodsThis study involved a subgroup analysis of 233 participants from a prospective, single-center lung cancer screening program using CT and MRI. Patients were included if foci ≥6 mm were detected in CT during the initial screening round, resulting in 23 participants with 47 pulmonary nodules. …”
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Myomedin variants developed for in vitro PD-L1 diagnostics in tissue samples of non-small cell lung carcinoma patients by Hana Petroková, Joanna Maria Mierzwicka, Prosenjit Chakraborty, Leona Rašková Kafková, Jana Vaculová, Jozef Škarda, Ondřej Fischer, Petr Kosztyu, Milan Kuchař, Milan Raška, Petr Malý

“…Abstract Background The treatment of non-small cell lung cancer (NSCLC) patients is correlated with the efficacy of immune checkpoint blockade therapy (ICB) targeting programmed cell death ligand 1 (PD-L1) or its cognate receptor (PD-1) on cancer cells or infiltrating immune cells. …”
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Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review by Stanislaw Hozyn

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CHANGES OF 8-OXO-2'-DEOXYGUANOSINE LEVEL IN MOUSE LIVER CELLS DNA IN CASE OF ACUTE TOXIC STRESS by N. V. Marmiy, D. S. Esipov

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Exploring and Controlling Chemistry Using Quantum Logic by Prerna Paliwal, Mikhail Popov, Nanditha Sunil Kumar, Stefan Willitsch

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HCAFNet: Hierarchical Cross-Modal Attention Fusion Network for HSI and LiDAR Joint Classification by Jiajia Bai, Na Chen, Jiangtao Peng, Lanxin Wu, Weiwei Sun, Zhijing Ye

“…Hyperspectral image (HSI) and light detection and ranging (LiDAR) data can provide complementary features and have shown great potential for land cover classification. …”
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Image Processing Application for Pluripotent Stem Cell Colony Migration Quantification by Timofey Chibyshev, Olga Krasnova, Alina Chabina, Vitaly V. Gursky, Irina Neganova, Konstantin Kozlov

“…The developed procedure consists of three major stages, namely, image registration, object detection and tracking. Registration using discrete Fourier transform and tracking based on the solution of a linear assignment problem was implemented as console programs in the Python 3 programming language using a variety of packages. …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

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