Blocking the interaction between S100A9 protein and RAGE V domain using S100A12 protein. by Revansiddha Katte, Chin Yu

“…The binary complex models of S100A9-S100A12 were developed using data obtained from 1H-15N HSQC NMR titrations and the HADDOCK program. …”
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Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids by Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li

“…Here, a large‐scale, multi‐environment hybrid maize dataset is used to construct and validate an automated machine learning framework that integrates environmental and genomic data for improved accuracy and efficiency in genetic analyses and genomic predictions. …”
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Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics by Ali Saadat, Jacques Fellay

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Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning by Ana-Cosmina Popescu, Irina Mocanu, Bogdan Cramariuc

“…Information from all channels of a 3D video (RGB and depth data, skeleton and context objects) is merged by independently passing these data streams through 2D convolutional neural networks. …”
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Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate by Mohamed Houssemeddine Sellami, Mohamed Houssemeddine Sellami, Ida Di Mola, Lucia Ottaiano, Eugenio Cozzolino, Pasquale De Vita, Mauro Mori

“…Notably, most varieties were not repeated between trials and 45% of the data was missing. The results indicate that the interaction between genotype and environment (GEI) significantly impacted all traits. …”
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Warfarin use and vestibular dysfunction insights from NHANES data, network pharmacology, Mendelian randomization, and molecular docking by Shihan Liu, Lingli Zhang, Wenlong Luo

“…This study investigates the association between warfarin use and vestibular dysfunction using data from the NHANES database and examines underlying mechanisms through network pharmacology, Mendelian randomization (MR), and molecular docking. …”
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Database Federation for Spatial Digital Twins with Semantically Enhanced Data Processing: A use case of Mission Mjøsa by S. Ranatunga, R. S. Ødegård, E. Onstein, K. Jetlund, K. Jetlund

“…Demonstrated through the Mission Mjøsa use case, this approach supports inland water mapping and decision support by aligning spatial data across domains. …”
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Novel approach for modelling low enthalpy geothermal in deep sedimentary aquifers: a case study of 40 years of production data in the Dogger formation by Theo Renaud, Joris Popineau, John O’Sullivan, Julien Gasser Dorado

“…Thus we have used the Dogger reservoir, with multiple data sets available, as a case study for calibrating a semi regional numerical model of a deep sedimentary aquifer used for geothermal direct-use. …”
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Synthetic Demand Flow Generation Using the Proximity Factor by Ekin Yalvac, Michael G. Kay

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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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Corrections for regular identification of high energy positive particles in experimental data using lobachevsky space by Togoo Ravdandorj, Khishigbuyan Narankhuu, Shinebayar Janchiv

“…Experimental data from eight different types of interactions detected in the bubble chambers accumulated in the high-energy sector were used in the calculations. …”
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Social media in health care- - Ethically challenging - -Dangerous but attractive- -use with caution by Shrikant B. Mali

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Prediction of Corrosion Rate for Carbon Steel Using Regression Model with Commercial LPR Sensor Data by Kwang-Hu Jung, Jung-Hyung Lee

“…A regression model trained on 54 MPY data points demonstrated high accuracy, achieving a coefficient of determination (R²) of 0.9733. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…To obtain better performance, the research focuses on the time-frequency analysis of vibrational data using the Fast Fourier Transform and Short-time Fourier transform to identify the fault signatures. …”
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Comprehensive walkability assessment of urban pedestrian environments using big data and deep learning techniques by Xiaoran Huang, Li Zeng, Hanxiong Liang, Daoyong Li, Xin Yang, Bo Zhang

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Automatic eddy detection in Antarctic marginal ice zone using Sentinel-1 SAR data by Nikita Sandalyuk, Eduard Khachatrian, Ekaterina Marchuk

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Enhancing Single-Cell and Bulk Hi-C Data Using a Generative Transformer Model by Ruoying Gao, Thomas N. Ferraro, Liang Chen, Shaoqiang Zhang, Yong Chen

“…Furthermore, when applied to scHi-C data from five human cell lines, it significantly improved clustering performance, outperforming five widely used methods. …”
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Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms by Ö. Şengül, Ş. Çelik

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An Improved Size and Direction Adaptive Filtering Method for Bathymetry Using ATLAS ATL03 Data by Lei Kuang, Mingquan Liu, Dongfang Zhang, Chengjun Li, Lihe Wu

“…The key issues in using ATLAS ATL03 data for bathymetry are achieving automatic and accurate extraction of signal photons in different water environments. …”
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A dynamical systems analysis of criminal behavior using national longitudinal survey of youth data. by David McMillon, Jeffrey Morenoff, Carl Simon, Erin Lane

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