Improving lung cancer pathological hyperspectral diagnosis through cell-level annotation refinement by Zhiliang Yan, Haosong Huang, Rongmei Geng, Jingang Zhang, Yu Chen, Yunfeng Nie

“…Abstract Lung cancer remains a major global health challenge, and accurate pathological examination is crucial for early detection. This study aims to enhance hyperspectral pathological image analysis by refining annotations at the cell level and creating a high-quality hyperspectral dataset of lung tumors. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…This enhanced diversity translates to a substantial improvement in the performance of various downstream learning tasks, including multi-level classification (2%-4% gain in accuracy), object detection (2% gain in mAP), and multiple-instance learning (1.3% gain in AUC).…”
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PFAS contamination in tap water: Target and suspect screening of zwitterionic, cationic, and anionic species across Canada and beyond by Termeh Teymoorian, Gabriel Munoz, Sébastien Sauvé

“…For instance, emerging zwitterionic 6:2 fluorotelomer sulfonamidopropyl betaine (6:2 FTAB) was found at the highest levels in cities of France, British Columbia (Canada), and the UK. …”
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Enabling interpretable machine learning for biological data with reliability scores. by K D Ahlquist, Lauren A Sugden, Sohini Ramachandran

“…We also compare the SRS to related tools for outlier and novelty detection, and find that it has comparable performance, with the advantage of being able to operate when some data are missing. …”
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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…These techniques, less commonly applied in traditional machine learning approaches to landslide detection, help address the issue of data imbalance often seen in landslide datasets, where instances of landslides are far outnumbered by non-landslide occurrences. …”
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Polarization-Based Fiber Optic System for Debris Flow Early Warning: On-Field Demonstration by Saverio Pellegrini, Giuseppe Rizzelli, Marco Barla, Roberto Gaudino

“…A mountain gully in the Valle d'Aosta region, in Italy, is used as a validation testbed to show the reliability of our approach in detecting anomalous vibration phenomena, and its robustness against the background noise associated, for instance, with car traffic or animal wildlife in the monitored area. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…This issue maximizes energy yield and facilitates early fault detection by identifying performance deviations, enabling timely maintenance, and reliable energy production. …”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…This has made possible the detection and measurement of pathological changes in macular and retinal pathologies. …”
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning by Róbert Stollmayer, Selda Güven, Christian Marcel Heidt, Kai Schlamp, Pál Novák Kaposi, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer

“…A set of U-Net models with 14 input channels was trained using the nnU-Net framework for automatic segmentation. Lesion detection, LI-RADS classification, and instance segmentation metrics were calculated by post-processing the semantic segmentation outputs of the final model ensemble. …”
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Research Progress and Future Perspectives on Photonic and Optoelectronic Devices Based on p-Type Boron-Doped Diamond/n-Type Titanium Dioxide Heterojunctions: A Mini Review by Shunhao Ge, Dandan Sang, Changxing Li, Yarong Shi, Qinglin Wang, Dao Xiao

“…TiO₂/BDD heterojunction can enhance photoresponsivity and extend the spectral detection range which enables stability in high-temperature and harsh environments due to BDD’s thermal conductivity. …”
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Performance Evaluation of Five Different Low-Cost Particulate Matter Sensors for Monodisperse Test Aerosols by Martin Nothhelfer, Ana Maria Todea, Dieter Bathen, Christof Asbach

“…Compared to the OPC-N3 and OPC-R2, the SPS30 for instance is capable of detecting higher number concentrations, but only with a much lower size resolution than the OPC-N3 or OPC-R2. …”
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Fungi and cancer: unveiling the complex role of fungal infections in tumor biology and therapeutic resistance by Wanli Zhang, He Zhang, Yiru Gao, Jianjun Lei, Chenhao Suo

“…Despite remarkable advancements made in early detection, therapeutic strategies, and the advent of immunotherapy in recent years, numerous challenges continue to hinder optimal outcomes. …”
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How many dollars are in the sea? Estimating sand dollar (Echinarachnius parma) abundance using an iteratively trained convolutional neural network and generalized additive models by Sara Vanaki, Deborah R. Hart, Jui-Han Chang

“…We employ Generalized Additive Models (GAMs) that use the confidence levels combined with covariates to estimate the probabilities that a detection is correct as well as the number of targets in an image. …”
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Broken Bags: Disrupting Service Through the Contamination of Large Language Models With Misinformation by Yonghua Mo, Maoyang Tang, Ruohan Lin, Bohao Zhou, Xiaojian Li

“…We developed and refined an artificial prompt template to render toxic language more akin to authentic human expressions and less detectable. Experimental data indicates that our attack success rate attains 94%. …”
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Diversity in approaches in community-based mental health interventions in India: A narrative review and synthesis by Mukta Gundi, Rhea Kaikobad, Seema Sharma

“…The contribution of mental disorders to the global burden of disease is widely recognized; however, a significant care gap exists, particularly in the context of low-and middle-income countries. In India, for instance, there are 0.3 psychiatrists per 1,00,000 population. …”
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Visual Servoing Using Sliding-Mode Control with Dynamic Compensation for UAVs’ Tracking of Moving Targets by Christian P. Carvajal, Víctor H. Andaluz, José Varela-Aldás, Flavio Roberti, Carolina Del-Valle-Soto, Ricardo Carelli

“…In order to evaluate the proposed scheme for tracking moving targets, experimental tests are carried out in a semi-structured working environment with the hexarotor-type aerial robot. For detection and image processing, the Opencv C++ library is used; the data are published in an ROS topic at a frequency of 50 Hz. …”
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Review on Hybrid Deep Learning Models for Enhancing Encryption Techniques Against Side Channel Attacks by Amjed A. Ahmed, Mohammad Kamrul Hasan, Azana H. Aman, Nurhizam Safie, Shayla Islam, Fatima A. Ahmed, Thowiba E. Ahmed, Bishwajeet Pandey, Leila Rzayeva

“…Convolutional neural networks and recurrent neural networks, for instance, have demonstrated efficacy in text generation and object detection in images, respectively. …”
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Effects of low-dose radiation produced during radiofrequency ablation guided by 3D mapping on mitochondrial apoptosis in diabetic cardiomyocytes by Jia Gao, Zhijun Meng, Binghang Zhang, Nan Zhang, Min Guo, Meng Sun, Rui Wang

“…Moreover, whether a single instance of intraoperative radiation exposure has an effect on myocardial tissue or exacerbates diabetic heart injury remains uncertain. …”
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Host antiviral factors hijack furin to block SARS-CoV-2, ebola virus, and HIV-1 glycoproteins cleavage by Changqing Yu, Guosheng Wang, Qiang Liu, Jingbo Zhai, Mengzhou Xue, Qiang Li, Yuanhua Xian, Chunfu Zheng

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Spread of the novel vancomycin-resistant Enterococcus faecium strain ST1299/vanA from local level in Germany to cross-border level in Austria, 2018 to 2022 by Wulf Schneider-Brachert

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