Correcting overestimation of approximate traditional reliabilities with herd-sire interactions when young genomic bulls are used in few herds by Joe-Menwer Tabet, Ignacio Aguilar, Matias Bermann, Daniela Lourenco, Ignacy Misztal, Paul M. VanRaden, Zulma G. Vitezica, Andres Legarra

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Using COVID-19 pandemic perturbation to model RSV-hMPV interactions and potential implications under RSV interventions by Emily Howerton, Thomas C. Williams, Jean-Sébastien Casalegno, Samuel Dominguez, Rory Gunson, Kevin Messacar, C. Jessica E. Metcalf, Sang Woo Park, Cécile Viboud, Bryan T. Grenfell

“…Here, we use a mathematical model to quantify the likelihood of interactions from population-level surveillance data and investigate whether interactions could lead to increases in hMPV burden under RSV medical interventions, including active and passive immunization. …”
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Psychological Features of 7-8 Grade Students Interaction with Hypertext: A Theoretical and Experimental Study Using an Eye Tracker by N.A. Borisenko, A.A. Ganicheva, K.V. Mironova, S.V. Shishkova

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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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Mixed-reality-supported communication for professional home care: system, use, barriers and use cases by Cornelia Schneider, Cornelia Schneider, Philipp Rameder, Philipp Kolmann, Birgit Trukeschitz

“…It also aims to identify barriers and potential use cases for successful implementation. We applied a mixed-methods approach by combining usage data measurement and focus group interviews. …”
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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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Synthetic Demand Flow Generation Using the Proximity Factor by Ekin Yalvac, Michael G. Kay

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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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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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Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study by Hanieh Dadkhah, Divyeshkumar Rana, Ebrahim Ghaderpour, Paolo Mazzanti

“…Wildfire dynamics and their interactions with climatic variables pose significant challenges in Mediterranean ecosystems. …”
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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 Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

“…As one of the foundational datasets in geographical information science, land use and land cover (LULC) data plays a crucial role in the study of human–environment interaction mechanisms, urban sustainable development, and other related issues. …”
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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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