A visitor-enriched census in the U.S. cities using large-scale mobile positioning data by Meicheng Xiong, Di Zhu, David Van Riper

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Correlation between cardiometabolic index and psoriasis: a cross-sectional analysis using NHANES data by Mengxue Li, Yixiao Gan, Hong Cheng, Zhicheng Wang

“…The linear relationship was further established using smooth curve fitting.ResultsThis study, utilizing NHANES data, comprised a cohort of 7,327 American adults. …”
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Predicting the Imbalanced Impact of Drugs on Microbial Abundance Using Multi-View Learning and Data Augmentation by Bei Zhu, Haoyang Yu, Bingxue Du, Hui Yu, Jianyu Shi

“…It integrates features from both macro-view and micro-view to obtain more comprehensive representations, incorporates a data augmentation module to handle class imbalance, and uses a multilayer perceptron to predict the impact of drugs on microbial abundance. …”
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Exploring human mutuality in cyber and physical spaces using mobile big data and network analysis by Minglei Liao, Xintao Liu

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Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data by Anna Fergusson, Maxine Pfannkuch

“…Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. …”
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High-capacity information storage using peptide-encapsulated hydrogels for long-term data preservation by Benxiang Luo, Songyan Gao, Minghao Wu, Xin Dong, Xiaoyong Deng, Honggang Hu

“…Strong electrostatic interactions between chitosan and peptides result in an ultrahigh data density of 2.44 × 1010 GB g−1. …”
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Characterization of Fractured Reservoirs Using a Combination of Downhole Pressure and Self-Potential Transient Data by Yuji Nishi, Tsuneo Ishido

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Flood Evacuation in Informal Settlements: Application of an Agent-Based Model to Kibera Using Open Data by Olivia Butters, Richard J. Dawson

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Quantifying hydrological connectivity in inland arid regions using transfer entropy and multi-source data by Qingling Bao, Lei Zhong, Jiao Tan

“…Hydrological modeling in inland arid regions faces persistent challenges due to the strong spatiotemporal variability of water fluxes and limited availability of high-quality meteorological data. Existing studies often rely on single-source interpolated inputs and conventional evaluation metrics, which constrain the understanding of internal interactions within hydrological subsystems. …”
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HapTree: a novel Bayesian framework for single individual polyplotyping using NGS data. by Emily Berger, Deniz Yorukoglu, Jian Peng, Bonnie Berger

“…Yet computational investigations into polyploid genomes carry great importance, impacting plant, yeast and fish genomics, as well as the studies of the evolution of modern-day eukaryotes and (epi)genetic interactions between copies of genes. In this paper, we describe a novel maximum-likelihood estimation framework, HapTree, for polyploid haplotype assembly of an individual genome using NGS read datasets. …”
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Development of Surface Data Assimilation Using Simplified Extended Kalman Filter in AROME Model in Hungary by Helga Tóth, Balázs Szintai, Hajnalka Breuer

“…This study focuses on implementing the more complex and advanced Simplified Extended Kalman Filter (SEKF) for surface data assimilation. The SEKF corrects the soil temperature and soil moisture content using screen-level observations (2-m temperature and relative humidity), offering improvements over OI. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…The objective of this study is to recommend apps to university students by category based on app usage patterns. Data was used to evaluate these 806 university students to train the Collaborative Filtering (CF) and Contemporary Deep Learning (DL) models. …”
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Retrieval of Ocean Surface Currents by Synergistic Sentinel-1 and SWOT Data Using Deep Learning by Kai Sun, Jianjun Liang, Xiao-Ming Li, Jie Pan

“…The retrieval performance of the OSCNet model is evaluated using SWOT data. The mean absolute error (MAE) and root mean square error (RMSE) are found to be 0.15 m/s and 0.19 m/s, respectively. …”
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Machine Learning for Monoclonal Gammopathies of Renal Significance Risk Stratification Using Clinical and Pathology Data by Giorgio Cazzaniga, Giulia Capitoli, Raffaella Barretta, Andrew Smith, Gisella Vischini, Giuliana Papalia, Federico Alberici, Federica Mescia, Albino Eccher, Jan Ulrich Becker, Maarten Naesens, Lucrezia Furian, Bernd Schröppel, Stefania Galimberti, Fabio Pagni, Vincenzo L'Imperio

“…Although clinical and laboratory data can suggest the presence of MGRS, renal biopsy still represents the gold standard, despite not always being performed or eventually postponed because it is not deemed useful or informative. …”
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A Novel Method for Holistic Collision Risk Assessment in the Precautionary Area Using AIS Data by Yu Zhong, Hongzhu Zhou, Manel Grifoll, Agustí Martín, Yusheng Zhou, Jiao Liu, Pengjun Zheng

“…To address these limitations, this study proposes a novel approach for collision risk assessment using automatic identification system (AIS) data. …”
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Analysis of clinical and epidemiological interactions of phenol and phthalate levels in blood and urine with anamnestic and biochemical health measures during the formation of mult... by I. Yu. Torshin, O. A. Gromova, T. E. Bogacheva, A. N. Gromov

“…The data sample was analyzed using the methods of Zhuravlev–Rudakov topological and metric data analysis, as well as parametric and nonparametric statistics. …”
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A statistical approach to assess interspecific consumptive competition and functional redundancy in ephemeral resource uses using camera traps by Yoshihiro Nakashima, Akane Hashizume, Akane Kanda

“…Abstract Camera traps have been widely used in wildlife research, offering significant potential for monitoring species interactions at ephemeral resources. …”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

“…In the virtual reality teaching of arts and crafts, the uploaded image data often contains a lot of noise, which significantly reduces the quality of uploaded images and seriously affects the teaching effect of interactive teaching of arts and crafts based on virtual reality. …”
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Physical Engagement in Face-to-Face Interaction Is Associated with Depressive Symptoms of Interaction Partners in the Workplace by Jong-Hyeok Lee, Nobuo Sato, Taiki Ogata, Kazuo Yano, Yoshihiro Miyake

“…The analysis utilized face-to-face interaction data from 449 employees across ten organizations, measured using wearable devices, along with a self-reported depression scale. …”
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Benzbromarone interferes with the interaction between Hsp90 and Aha1 by interacting with both of them by Yan Zhong, Li Shi, Zhuo Xu, Jing Gao, Qingyu Ma, Tianqi Gao, Junying Tang, Muya Xiong, Yechun Xu, Huixiong Dai, Hu Zhou, Naixia Zhang, Chen Zhou

“…Here in this manuscript, by using the discovered dual-modulator Benzbromarone as the probe, the pocket in Aha1 responsible for compound recognition is defined. …”
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