A comparative cloud-based view of adherence data over 1 year of CPAP versus APAP uses in OSA patients: Adherence depends on PAP device by Arup K. Haldar, Raja Dhar, Somnath Maity, Shyam Krishnan, Amrita Bhattacharya, Milind Sovani

“…We included 60 patients in the CPAP group and 80 patients in the APAP group in the study who are using the device for 1 year or more; they all were on cloud-based devices, and for them, we had data of completed 1 year at least. The data were reviewed periodically for compliance, AHI (Apnea-Hypopnea Index), and leak and compared. …”
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Can we empirically derive a geographic definition of ‘coastal’ for use in cancer data reporting? An ecological modelling study using England’s national cancer registry by Lizz Paley, Claire Welsh, Sally Vernon, Mark Alan Green, Jennifer Lai, Catherine Welham, Jack Anderson, Clarice Quinn

“…We propose that this variable is now embedded into health inequalities reporting and adopted as the working definition of ‘coastal’ implicated in NHS England’s ‘Core20PLUS5’ approach for use in cancer data reporting.…”
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Architecture and implementation of online testing to check solutions to Olympiad programming problems by E. V. Shagilova

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Investigating the Effects of Labeled Data on Parameterized Physics-Informed Neural Networks for Surrogate Modeling: Design Optimization for Drag Reduction over a Forward-Facing Ste... by Erik Gustafsson, Magnus Andersson

“…Conversely, FNNs exhibit inconsistent responses to parameter changes when trained with labeled data, suggesting limitations in their applicability for certain design optimization tasks. …”
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Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach by Seyed Ali Ahmadi, Arsalan Ghorbanian, Farshad Golparvar, Ali Mohammadzadeh, Sadegh Jamali

“…Furthermore, the intercomparison with the well-known and most used Local Maximum (LM) suggested the applicability of the proposed method. After point cloud generation, the proposed method was implemented entirely in Python using open-source packages, which increases its applicability for other scholars and managers. …”
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Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, an... by Val Hyginus Udoka Eze, Esther Chidinma Eze, George Uwadiegwu Alaneme, Pius Erheyovwe BUBU, Ezekiel Oluwaseun Ejiofor Nnadi, Michael Ben Okon

“…Abstract The integration of Internet of Things (IoT) sensors and Machine Learning (ML) technologies has transformed precision agriculture by enabling data-driven, adaptive, and efficient farming practices. …”
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Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

“…Methods We introduced a three-tier “basket model”—cells (small baskets), columns (medium baskets), and the full table (large basket)—to transform rectangular data into weighted co-word matrices. Using publicly available 2023 HCAHPS survey data from 52 U.S. states and territories, we applied a follower-leader clustering algorithm (FLCA) implemented in R. …”
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Applying Socio-technical Thinking in the Competitive, Agile, Lean, Data-Driven World of Knowledge Work and Smart, Service-Oriented, Customer-Centric Value Creation Ecosystems by Steven Alter

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Cerebrospinal fluid data compilation and knowledge-based interpretation of bacterial, viral, parasitic, oncological, chronic inflammatory and demyelinating diseases. Diagnostic pat... by Hansotto Reiber

“…., CSF flow rate, cytology, lactate, antibodies) in a cumulative CSF data report allows a knowledge-based interpretation and provides analytical and medical plausibility for the quality assessment in CSF laboratories. …”
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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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