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  1. 11681

    Integrating social narratives of flood events into a text network analysis-based decision support framework to reduce vulnerability to climate change in Africa by Thomas E. O’Shea, Lena C. Grobusch, Mary Zhang, Jeff Neal, Joseph Daron, Richard G. Jones, Christopher Jack, Alice McClure, Gilbert Siame, Dorothy Ndhlovu, Sukaina Bharwani

    Published 2025-01-01
    “…These narratives were used to calibrate the flood maps with insights from Lusaka’s stakeholders using Natural Language Processing (NLP) and Text Network Analysis (TNA). …”
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  2. 11682

    Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition by Wuxia Zhang, Xiaoxiao Shao, Chao Mei, Xiaoying Pan, Xiaoqiang Lu

    Published 2025-01-01
    “…First, the spatial attention-aware feature fusion module within the SAE integrates spatial attention-aware features, mid-level semantic features, and input features to enhance the extraction of component characteristics, thus improving the accuracy in capturing size, shape, and texture information. Second, the multi-scale adaptively spatial feature fusion module within the Multi-ASFFD cascades four adaptively spatial feature fusion blocks to fuse low-level, middle-level, and high-level features at various scales to enrich the semantic information for different spacecraft components. …”
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  3. 11683

    Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

    Published 2025-01-01
    “…A robust dataset was collected from a CNC hobbing machine, capturing vibration signals under healthy and faulty tool conditions. …”
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  4. 11684

    A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

    Published 2025-02-01
    “…The results demonstrate that the proposed method based on 3D data exhibits superior performance in comparison to conventional polynomial fitting methods in terms of capturing anatomical detail and homogeneity. Crucially, in-vivo application of the proposed method showed that the method generalizes well to in-vivo data, without introducing significant errors or artifacts. …”
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  5. 11685

    Assessing the quantities of legume-based products: A dataset of conversion coefficients into a comparable dry-legume equivalent unitRecherche Data Gouv by Marine Spiteri, Lola Pedrini, Agathe Thierry, Valérie Orozco, Olivier de Mouzon, Zohra Bouamra-Mechemache

    Published 2025-02-01
    “…Those products were identified in our primary data source, the Kantar Worldpanel data. Then, for each final legume-based product, we rely on information from existing food databases, literature and products labels to build a coefficient based on three intermediary technical sub-coefficients. …”
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  6. 11686
  7. 11687

    Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

    Published 2025-01-01
    “…A lightweight detection algorithm, FDNet-p, was developed to capture stem features, and a strategy for auxiliary positioning was designed for image acquisition. …”
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  8. 11688

    Clinical Oral Health Recommended Care and Oral Health Self-Report, NHANES, 2013-2014 by R. Constance Wiener, Nilanjana Dwibedi, Chan Shen, Patricia A. Findley, Usha Sambamoorthi

    Published 2018-01-01
    “…This is useful information and points to the need for a minimum set of measures that can provide actionable information and capture the need for clinical dental care.…”
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  9. 11689

    Knowledge, attitudes and practices to hepatitis B among South African primary healthcare staff by Atlegang Mashilo, Itumeleng Mompati, Refilwe Ramakatane, Didintle Sebitloane, Naledi Sibi, Philippa C. Matthews, Cornel Van Rooyen, Dominique Goedhals, Sabeehah Vawda

    Published 2025-01-01
    “…Methods: Data were collected via anonymous, self-applied, 28-question-questionnaires in English. Data were captured on a Microsoft Excel spreadsheet and analysed by a biostatistician, using Statistical Analyses Software (SAS 9.4). …”
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  10. 11690

    Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

    Published 2025-01-01
    “…Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. …”
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  11. 11691

    Measuring above-ground carbon stock using spatial analysis and the InVEST model: application in the Thoria Watershed, India by Zhe Guo, Himani Sharma, Mahesh Jadav, Upeksha Hettiarachchi, Chiranjit Guha, Wei Zhang, Pratiti Priyadarshini, Ruth S Meinzen-Dick

    Published 2024-01-01
    “…Using high-resolution NDVI (Normalized Difference Vegetation Index) data from Sentinel satellites, we disaggregate land cover types into high and low NDVI classes, which allows enhanced assessment of carbon stocks by capturing the spatial variation within the same land cover types. …”
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  12. 11692

    KE-RSIC: Remote Sensing Image Captioning Based on Knowledge Embedding by Kangda Cheng, Erik Cambria, Jinlong Liu, Yushi Chen, Zhilu Wu

    Published 2025-01-01
    “…The generated entity embeddings and relationship embeddings can effectively capture the intrinsic semantic information of remote sensing categories. …”
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  13. 11693

    A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System by Jiahui Cheng, Zhengkang Wang, Yaojun Qiao, Hao Gao, Chenxia Liu, Zhuoze Zhao, Jie Zhang, Baodong Zhao, Bin Luo, Song Yu

    Published 2024-01-01
    “…A convolutional neural network combined with long short-term memory (CNN-LSTM) phase compensation method (PCM) is proposed and demonstrated, where CNN is employed to extract spatial features, and LSTM is used to capture temporal features and realize the long-term predictions of residual phase fluctuations. …”
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  14. 11694

    SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

    Published 2025-01-01
    “…Combining a Vision Transformer(ViT) with a language model enhances its ability to capture detailed information. The study also shows that SumGPT performs well with different types of reports and could be beneficial in other areas, such as pathology and cardiology. …”
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  15. 11695

    Integrated information theory reveals the potential role of the posterior parietal cortex in sustaining conditioning responses in classical conditioning tasks by Tien Cuong Phi, Shin Ishii, Shin Ishii, Shin Ishii, Masashi Kondo, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Ken Nakae

    Published 2025-01-01
    “…Our findings suggest that while traditional functional connectivity (FC) methods struggled to capture the complexity of sustained behavioral engagement, the core complex framework revealed key regions, notably the PPC, that were significantly correlated with enhanced CR sessions. …”
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  16. 11696

    Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM by Samuel Owoeye, Folasade Durodola, Adekunle Oyelami, Racheal Oladejo, Samuel Obasuyi, Ademola Qasim, Joshua Ogundairo

    Published 2025-01-01
    “…For surveillance purposes, the ESP32-CAM captures real-time video, streaming it to the user's mobile device or a centralized monitoring station. …”
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  17. 11697

    Biosynthesis of Lysosomally Escaped Apoptotic Bodies Inhibits Inflammasome Synthesis in Macrophages by Jiayi Mao, Wenzheng Xia, Yanglin Wu, Minxiong Li, Yun Zhao, Peisong Zhai, Yuguang Zhang, Tao Zan, Wenguo Cui, Xiaoming Sun

    Published 2025-01-01
    “…However, challenges such as drug off-target effects and degradation via lysosomal capture remain during treatment. In this study, engineered apoptotic bodies (BHB-dABs) derived from adipose stem cells loaded with β-hydroxybutyric acid (BHB) were synthesized via biosynthesis. …”
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  18. 11698

    A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

    Published 2025-01-01
    “…The benefit of magneto-inertial sensors is their ability to capture data in outdoor conditions. However, state-of-the-art inertial-based methods for estimating running temporal parameters are limited to a restricted range of running speeds and, thus, not able to analyze running at variable speeds. …”
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  19. 11699

    Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

    Published 2025-01-01
    “…Here, we present a machine learning model based on equivariant neural networks which uses atomic occupation matrices as descriptors, directly capturing the electronic structure, local chemical environment, and oxidation states of the system at hand. …”
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  20. 11700

    Classifying the Involvement of Men and Women in Climate Smart Agricultural Practices in Kayonza Sub-county by Turyasingura, Benson, Ayiga, Natal

    Published 2023
    “…Improved cooking stoves, fisheries and aquaculture, pasture management and planting of plant tolerant verities were among the CSA practices. …”
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