High spatial resolution environmental noise assessment and its associations with risks of cardiovascular diseases based on digital healthcare data in China by Jiawei Wang, Jianbo Jin, Yingning Chen, Peng Shen, Yexiang Sun, Zhiqin Jiang, Xinbiao Guo, Haijun Wang, Guoxing Li, Liming Shui, Jing Huang

“…In this study, we utilized land-use regression (LUR) models at high spatial resolution to assess environmental noise and linked the exposure to digital healthcare data from the Yinzhou Regional Health Information Platform (YRHIP) in China to assess the associations of environmental noise with risks of CVD. …”
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Enhancing Hectare‐Scale Groundwater Recharge Estimation by Integrating Data From Cosmic‐Ray Neutron Sensing Into Soil Hydrological Modeling by Lena M. Scheiffele, Matthias Munz, Till Francke, Gabriele Baroni, Sascha E. Oswald

“…Models calibrated on CRNS data or combinations of CRNS with deeper point measurements resulted in cumulative groundwater recharge comparable to the benchmark. …”
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Data-Driven Monitoring of Probiotic Fermentation in Fruit Juices Using Near-Infrared Spectroscopy and Aquaphotomics: An Innovative Approach to Food Valorization by Lueji Regatieri, Flora Vitalis, Erika Bujna, Quang Duc Nguyen, Zoltan Kovacs

“…The data evaluated in the wavelength range of 1300–1600 nm indicate classification accuracies of 99–100% and 99–93% during calibration and validation, respectively, when applying PCA-LDA for discriminating the fermentation times, for each one of the single and mixed bacterial groups. …”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

“…Based on these variations, we used prompt engineering to improve the pilot application’s output compliance with the protocol registration and results system (PRS) structured data format for various study types. …”
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Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment by Siena E. Illa, Yumei Feng Earley, Yumei Feng Earley, Li Li, Dingsheng Li

“…Introduction:Despite recent rapid advancements in in vitro toxicology, its application to whole-body health outcomes remains limited. …”
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DMDiff: A Dual-Branch Multimodal Conditional Guided Diffusion Model for Cloud Removal Through SAR-Optical Data Fusion by Wenjuan Zhang, Junlin Mei, Yuxi Wang

“…Optical remote sensing images, as a significant data source for Earth observation, are often impacted by cloud cover, which severely limits their widespread application in Earth sciences. …”
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PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data by Y. Lin, R. E. Kopp, R. E. Kopp, A. Reedy, A. Reedy, M. Turilli, M. Turilli, S. Jha, S. Jha, S. Jha, E. L. Ashe

“…Here, we present PaleoSTeHM, a scalable and modern framework for spatiotemporal hierarchical modeling of paleo-environmental data. This framework enables the implementation of flexible statistical models that rigorously quantify spatial and temporal variability from geological data while clearly distinguishing measurement and inferential uncertainty from process variability. …”
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Prevalence of digestive diseases in patients with excessive body weight and obesity (<i>according to data of polyclinic department of versatile clinic</i>) by I. R. Popova

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A Technical Note on AI-Driven Archaeological Object Detection in Airborne LiDAR Derivative Data, with CNN as the Leading Technique by Reyhaneh Zeynali, Emanuele Mandanici, Gabriele Bitelli

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A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

“…Furthermore, this study significantly expands the application potential of SAR data in soil salinization research.…”
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Extracellular vesicle-derived miRNA-mediated cell–cell communication inference for single-cell transcriptomic data with miRTalk by Xin Shao, Lingqi Yu, Chengyu Li, Jingyang Qian, Xinyu Yang, Haihong Yang, Jie Liao, Xueru Fan, Xiao Xu, Xiaohui Fan

“…Collectively, miRTalk can infer EV-derived MiTI-mediated CCC with scRNA-seq data, providing new insights into the intercellular dynamics of biological processes.…”
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Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions by Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li

“…Specifically, we proposed a sectional photon denoising method for processing ICESat-2 data and a geolocation error correction method for processing GEDI data. …”
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Assessment of the frequency and association with morbidity of DNA markers in multinational administrative divisions based on indigenous population data (based on cardiovascular dis... by E. V. Balanovskaya, A. Yu. Potanina, S. M. Koshel, D. S. Adamov, I. V. Evsyukov, A. L. Borisova, M. S. Pokrovskaya, A. N. Meshkov

“…The obtained frequencies allowed us to directly assess their relationship with CVD in Russia — chronic rheumatic heart diseases, cardiomyopathy, coronary artery disease, hypertension, acute myocarditis. Technology application data are presented in the form of tables and genogeographic maps of the distribution of 24 CVD DNA markers in Russian subjects, the geography of morbidity in Russian subjects for five CVDs, and the correlation of the distribution of the frequency of CVD DNA markers and the incidence of CVD among the population of Russia.Conclusion. …”
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IoT-Based LPG Level Sensor for Domestic Stationary Tanks with Data Sharing to a Filling Plant to Optimize Distribution Routes by Roberto Morales-Caporal, Rodolfo Eleazar Pérez-Loaiza, Edmundo Bonilla-Huerta, Julio Hernández-Pérez, José de Jesús Rangel-Magdaleno

“…The IoT-based sensor, in addition to displaying the percentage of the LPG level in the tank to the user through a mobile application (app), has the advantage of simultaneously sharing the acquired data with an LPG filling plant via the Internet. …”
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Estimation of leaf water content from hyperspectral data of different plant species by using three new spectral absorption indices. by Hong Li, Wunian Yang, Junjie Lei, Jinxing She, Xiangshan Zhou

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INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

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Fusion of IDC Operation Support System Design and Analysis by Huazhao Liu, Xuefeng Chen, Qian Yu

“…By the establishment of IDC space, network, cloud computing various levels of resource element model, fusion process, data, operation and service, a standard, and loosely coupled IT support fusion architecture was designed and built, which laid the foundation for IDC intensive operation. …”
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Operation Management Mode Based on New Media Technology by Peng Han

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New scientific methods to investigate library branch by N. A. Mazov, V. N. Gurejev

“…The attention is paid to own developments on application of the raw data taken from these DB, allowing in the automated mode to trace operatively the basic bibliometric indicators on a concrete person and organisation as a whole.…”
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Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration by Aditya Pai H, Kritika Kumari Mishra, Mahesh T R, J V Muruga Lal Jeyan, Anu Sayal

“…This work initiates the application of Self-Supervised Learning (SSL) for preprocessing and enriching weather-related features from remote sensing data to enhance the predictive capability of the LSTM. …”
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