Super-resolution reconstruction technology for full-diameter core nuclear magnetic resonance scanning data: a global non-negative least squares-based approach by Yingying MA, Zebo PENG, Jingzhi CHEN, Fei WU, Xin NIE, Zhongshu LIAO, Gong ZHANG

“…The feasibility of this method was validated through numerical simulations, physical experiments, and actual data analysis. Practical applications show that the high-resolution processed NMR porosity from well logging aligns more closely with gas-filled porosity. …”
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METHODOLOGY FOR DATA COLLECTION IN SIMULATED IRRADIATIONS USING MONTE CARLO TECHNIQUES ON DICOM IMAGES FOR X-RAY FLUORESCENCE EMISSIONS LOCALIZATION IN HIGH ATOMIC NUMBER MATERIALS by Nicolás E. Martín, F. Malano, Miguel Sofo Haro, M. Valente

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An Observational Study of a Severe Squall Line Crossing Hong Kong on 15 March 2025 Based on Radar-Retrieved Three-Dimensional Winds and Flight Data by Pak-wai Chan, Ying-wa Chan, Ping Cheung, Man-lok Chong

“…The radar-retrieved maximum vertical velocity may be smaller in magnitude at times, possibly arising from the limited spatial and temporal resolutions of the aircraft data. The results of this paper could be a useful reference for the development of radar-based turbulence products for aviation applications.…”
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P-BERT: Toward Long Sequence Modeling by Enabling Language Representation With Prefix Sequence Compression, Soft Position Embedding, and Data Augmentation for Patent Relevance Asse... by Fei Wang, Xingchen Shi, Dongsheng Wang, Yinxia Lou

“…All those would promote the engineering applications of pre-trained language models in patent relevance assessment.…”
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Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

“…The findings reinforce the transformative role of open-access geospatial data in Earth observation applications, supporting real-time decision-making and enhanced urban resilience strategies in rapidly evolving environments.…”
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A reference genome enhances the power to detect signatures of recent anthropogenic impact in genomic data: a lesson learned from a stag beetle system by Zong-Yu Shen, My-Hanh Le, Ming-Hsun Chou, Jen-Pan Huang

“…Abstract Background Genomic data are vital for conservation biology and recent advances in sequencing technology have facilitated their applicability. …”
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MASCS 1.0: synchronous atmospheric and oceanic data from a cross-shaped moored array in the northern South China Sea during 2014–2015 by H. Zhang, H. Zhang, H. Zhang, D. Chen, D. Chen, D. Chen, T. Liu, T. Liu, D. Tian, M. He, Q. Li, G. Wei, G. Wei, J. Liu, J. Liu

“…Multiscale processes were also recorded, such as air–sea fluxes, tides, internal waves, and low-frequency flows. The data are valuable and have many potential applications, including analyzing the phenomena and mechanisms of air–sea interactions and ocean dynamics and validating and improving numerical model simulations, data reanalysis, and assimilations. …”
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A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data by Ran Huang, Shengcheng Li, Xin Zhu, Jianing Li, Yuanjun Xiao, Wei Weng, Qi Shao, Dengfeng Chai, Jingcheng Zhang, Yao Zhang, Lingbo Yang, Kaihua Wu, Zhihao Hu, Li Liu, Weiwei Sun, Weiwei Liu, Jingfeng Huang

“…The SGM_DMAT scheme comprises two key phases: Estimating DMAT under clear-sky conditions, and reconstructing missing values under cloudy conditions using data from 2020 to 2022 as the calibration dataset and data in 2023 as the validation dataset. …”
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A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…Finally, the effectiveness and accuracy of the proposed parameter identification method and software are simulated and tested by using the measured data of black box doubly fed wind turbine and the software platform. …”
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Enhancing neuromolecular imaging classification in low-data regimes with generative machine learning: A case study in HDAC PET/MR imaging of alcohol use disorder by Tyler N. Meyer, Olga Andreeva, Roger D. Weiss, Wei Ding, Iris Shen, Changning Wang, Ping Chen, Tewodros Mulugeta Dagnew

“…Conclusion: Our results demonstrate that generative AI can help overcome data scarcity in low-data regime neuroimaging applications. …”
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Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion: A Case Study of Lanzhou Jiaotong University by Rui Gao, Guanghui Yan, Yingzhi Wang, Tianfeng Yan, Ruiting Niu, Chunyang Tang

“…This framework not only streamlines data harmonization but also offers an open-source, practical, cost-effective solution for real-scene 3D digital campus construction, promoting further research and applications in twin city, Virtual Reality (VR), and Geographic Information Systems (GIS).…”
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Three years of tele-emergency medicine with mobile on-site audio-video streaming in lower Saxony, Germany – descriptive results of a longitudinal secondary data analysis by Johanna Sophie Lubasch, Insa Seeger, Thomas Marian, Tobias Steffen, Friederike Schlingloff

“…Clinical trial number Not applicable – secondary data analysis.…”
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Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and J... by Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

“…ObjectiveThis study presents a new method to predict hypertension using demographic data, using 6 machine learning models for enhanced reliability and applicability. …”
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Under-five mortality and its associated factors in sub-Saharan Africa: a multilevel analysis of recent demographic and health surveys data based on Bayesian approach by Atalay Liknaw Birhanie, Zemenu Tadesse Tessema, Bekalu Endalew, Koku Sisay Tamirat

“…Methods This study was based on secondary data sources from 33 Sub-Saharan countries’ recent Demography and Health surveys from 2010 to 2020. …”
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Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines by Jonas Wihl, Enrike Rosenkranz, Severin Schramm, Cornelius Berberich, Michael Griessmair, Piotr Woźnicki, Francisco Pinto, Sebastian Ziegelmayer, Lisa C. Adams, Keno K. Bressem, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Dennis Hedderich, Su Hwan Kim

“…We also provide evidence that well-defined annotation guidelines can enhance LLM data extraction accuracy. Relevance statement Annotation guidelines can improve the accuracy of LLMs in extracting findings from radiological reports, potentially optimizing data extraction for specific downstream applications. …”
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Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore by Yi Wang, Shilpa Tyagi, David Wei Liang Ng, Valerie Hui Ying Teo, David Kok, Dennis Foo, Gerald Choon-Huat Koh

“…For patients in the usual care group, demographic information, clinical data, health care use, and health care costs were extracted from the national claims records. …”
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High-Resolution Mapping of Forest Parameters in Tropical Rainforests Through AutoML Integration of GEDI With Sentinel-1/2, Landsat 8, and ALOS-2 Data by Bo Zhang, Li Zhang, Min Yan, Jian Zuo, Yuqi Dong, Bowei Chen

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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

“…Additionally, the nonintrusive data collection method and model architecture proposed in this study offer promising applications in remote health monitoring, particularly for older adults who may face challenges in using wearable devices. …”
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A Pride of Satellites in the Constellation Leo? Discovery of the Leo VI Milky Way Satellite Ultra-faint Dwarf Galaxy with DELVE Early Data Release 3 by C. Y. Tan, W. Cerny, A. Drlica-Wagner, A. B. Pace, M. Geha, A. P. Ji, T. S. Li, M. Adamów, D. Anbajagane, C. R. Bom, J. A. Carballo-Bello, J. L. Carlin, C. Chang, A. Chaturvedi, A. Chiti, Y. Choi, M. L. M. Collins, A. Doliva-Dolinsky, P. S. Ferguson, R. A. Gruendl, D. J. James, G. Limberg, M. Navabi, D. Martínez-Delgado, C. E. Martínez-Vázquez, G. E. Medina, B. Mutlu-Pakdil, D. L. Nidever, N. E. D. Noël, A. H. Riley, J. D. Sakowska, D. J. Sand, J. Sharp, G. S. Stringfellow, C. Tolley, D. L. Tucker, A. K. Vivas, (DELVE Collaboration)

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Human-centered design of a privacy assistant and its impact on perceived transparency and intervenability by Kiss Lennart, Sellung Rachelle

“…This paper showcases a user study on users’ preferences and perceptions of data protection (e.g., intervenability and transparency) in a privacy assistant application. …”
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