A Global Empirical Model of Electron Density Profile in the F Region Ionosphere Basing on COSMIC Measurements by Qiaoling Li, Libo Liu, Maosheng He, He Huang, Jiahao Zhong, Na Yang, Man‐Lian Zhang, Jinzhe Jiang, Yiding Chen, Huijun Le, Jun Cui

“…Compared with observations from COSMIC‐1 and ‐2, the model captures the ionospheric climatology well, such as solar activity dependence, seasonal variation, and spatial pattern, including the equatorial ionization anomaly and midlatitude trough as well as their variabilities. …”
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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

“…Compounding this, current disaster risk management systems often fail to account for context-specific drivers of social vulnerability and environmental risks, crucial for enhancing social resilience to flood impacts. This paper captures the community-based narratives of flood risk in Lusaka, Zambia. …”
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Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition by Wuxia Zhang, Xiaoxiao Shao, Chao Mei, Xiaoying Pan, Xiaoqiang Lu

“…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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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

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

“…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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Modeling phase equilibria for a water-CO2-hydrocarbon mixture using CPA equation of state in CO2 injection EOR-storage processes: a Colombian case study by Juan David Aristizábal Marulanda, Cristiam David Cundar Paredes, Christian David Guerrero Benavides, Andres Aguirre, Juan Andres Pasos, Ivan Dario Moncayo Riascos, Marco Ruiz, Pedro Nel Benjumea Hernández, William Mauricio Agudelo, Raúl Osorio Gallego

“…To integrate CO2, water and hydrocarbon phases, advanced models are required that capture the phenomenology of thermodynamic equilibrium. …”
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Rebar Recognition Using Multi-Hyperbolic Attention in Faster R-CNN by Chuan Li, Nianbiao Cai, Tong Pu, Xi Yang, Hao Liu, Lulu Wang

“…Building upon the feature extraction capabilities of the ResNet50 model, this study introduces a Deformable Attention to Capture Salient Information (DAS) mechanism, employing deformable and separable convolutions to enhance rebar localization and concentrate on hyperbolic features resulting from multiple reflections. …”
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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

“…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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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

“…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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Mapping Nanoscale‐To‐Single‐Cell Phosphoproteomic Landscape by Chip‐DIA by Gul Muneer, Sofani Tafesse Gebreyesus, Ciao‐Syuan Chen, Tzu‐Tsung Lee, Fengchao Yu, Chih‐An Lin, Min‐Shu Hsieh, Alexey I. Nesvizhskii, Chao‐Chi Ho, Sung‐Liang Yu, Hsiung‐Lin Tu, Yu‐Ju Chen

“…The iPhosChip operates as an all‐in‐one station that accommodates both quantifiable cell capture/imaging and the entire phosphoproteomic workflow in a highly streamlined and multiplexed manner. …”
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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

“…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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An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…To address this issue, this paper proposes an efficient crop-weed segmentation model based on an improved UNet architecture and attention mechanisms to enhance both recognition accuracy and processing speed.MethodsThe model adopts the encoder-decoder structure of UNet, utilizing MaxViT (Multi-Axis Vision Transformer) as the encoder to capture both global and local features within images. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…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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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

“…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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Digital Twins and Enabling Technology Applications in Mining: Research Trends, Opportunities, and Challenges by Mihiran Galagedarage Don, Thumeera R. Wanasinghe, Raymond G. Gosine, Peter J. Warrian

“…The set of papers that were retained following the second step was subjected to detailed manual reading to further explore the technologies and applications to capture the research trends, opportunities, and challenges. …”
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KE-RSIC: Remote Sensing Image Captioning Based on Knowledge Embedding by Kangda Cheng, Erik Cambria, Jinlong Liu, Yushi Chen, Zhilu Wu

“…The generated entity embeddings and relationship embeddings can effectively capture the intrinsic semantic information of remote sensing categories. …”
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Multiresolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and An Empirical Model by Haonan Wu, Xiyan Tan, Qiong Zhang, Whitney Huang, Xian Lu, Yukitoshi Nishimura, Yongliang Zhang

“…Higher‐resolution fitting results capture more mesoscale (10–100 s km) structures such as auroral arcs, than the low‐resolution ones and the empirical model. …”
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Multi-Spectral Point Cloud Constructed with Advanced UAV Technique for Anisotropic Reflectance Analysis of Maize Leaves by Kaiyi Bi, Yifang Niu, Hao Yang, Zheng Niu, Yishuo Hao, Li Wang

“…Low-altitude unmanned aerial vehicle (UAV) systems can capture high-resolution imagery even to centimeter-level detail, potentially simplifying the characterization of leaf anisotropic reflectance. …”
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Emotional analysis of operating room nurses in acute care hospitals in Japan: insights using ChatGPT by Kentaro Hara, Reika Tachibana, Ryosuke Kumashiro, Kodai Ichihara, Takahiro Uemura, Hiroshi Maeda, Michiko Yamaguchi, Takahiro Inoue

“…Emotional analysis revealed a range of tones, with AI providing an efficient overview and human researchers capturing nuanced emotional insights. High subjectivity scores indicated deeply personal reflections. …”
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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

“…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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