Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…We propose a novel multi-scale Bayesian approach that combines integrative graphical structure learning from multiple sources of data with a variable selection framework-to determine the key genomic drivers of cancer progression. …”
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Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

“…Alongside that, the Materials and Methods section shows different modeling environments and their possible integration into FLORIS. …”
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Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables by Ricardo Caetano, José Manuel Oliveira, Patrícia Ramos

“…This study assesses how incorporating these variables enhances forecast accuracy, addressing a research gap in the comprehensive evaluation of explanatory variables within multiple Transformer-based models. …”
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Adaptive Integrated Navigation Algorithm Based on Interactive Filter by Bin Zhao, Chunlei Gao, Hui Xia, Jinxia Han, Ying Zhu

“…To address the diverse requirements of accuracy and robustness in integrated navigation for unmanned aerial vehicles, an interactive robust filter algorithm that integrates the interactive multiple model concept and leverages the complementary applicability of the strong tracking filter and the smooth variable structure filter is proposed. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…Sophisticated regression models such as Gradient Boosting Machines (GBM), Least Absolute Shrinkage and Selection Operator (Lasso), and Support Vector Machines (SVM) were employed to analyze the effects of spectral indices, land surface temperature (LST), and structural canopy variables on soil moisture estimation accuracy. …”
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Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

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Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

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An integrated mutation-based immunoinformatic approach incorporating variability in epitopes: a study based on HIV subtype C by Saurav Kumar Mishra, Neeraj Kumar, Md. Harun Or Rashid, Md. Harun Or Rashid, Sharifa Sultana, Turki M. Dawoud, Mohammed Bourhia, John J. Georrge

“…The vaccine’s structure was modeled and examined to validate its structural quality, and a high population coverage was also found. …”
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Multi-Information-Assisted Joint Detection and Tracking of Ground Moving Target for Airborne Radar by Ran Liu, Xiangqian Li, Jinping Sun, Tao Shan

“…Additionally, we innovatively propose an improved Variable Structure Interacting Multiple Model (VS-IMM) filter that leverages road network constraints and detector outputs for tracking, featuring an enhanced model probability calculation to significantly reduce computational time. …”
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A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors by Zhilong Li, Ziti Jiao, Zheyou Tan, Chenxia Wang, Jing Guo, Sizhe Chen, Ge Gao, Fangwen Yang, Xin Dong

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The Impact of Organizational and Management variables on the Performance of Sidama Bunna Football Club by Wasihun Abate Sentie, Getinet Tiruneh, Dagnachew Nigeru Kebede

“…Strategic planning and financial stability emerged as dominant contributors to performance, overshadowing communication, human resources, and material resources in the combined model. The findings underscore the importance of integrated strategies that prioritize robust financial systems and strategic alignment to enhance club outcomes. …”
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Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs by Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Eveline Teixeira Caixeta Moura, Antônio Carlos Baião de Oliveira, Gota Morota, Moysés Nascimento

“…Recognizing the interrelationship among variables becomes critical in genetic breeding programs, where the goal is often to optimize selection for multiple traits. …”
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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

“…In this model, the DO series is first decomposed into multiple sub-series via VMD, and each sub-series is individually trained and predicted using the FECAM-WTConv-Transformer structure; the final output is obtained by aggregating the predictions. …”
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Integrating multiple “omics” analysis for plant metabolites and their functions by ZHOU Guoyan, HU Wangxiong, XU Jianhong, XUE Qingzhong

“…Glucosinolate (GSL) metabolic pathways provide a useful model system for the research of genome structure of the quantitative characters, while the genome-wide association studies (GWAS) fast become the preferred method for analyzing complex quantitative traits. …”
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Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis. by Abigail J Enoch, Mike English, Clinical Information Network, Gerald McGivern, Sasha Shepperd

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Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification by Jie Zhang, Ming Sun, Sheng Chang

“…Moreover, the lack of neighborhood spectral information utilization fails to mitigate the impact of spatial variability on classification performance. To address these limitations, we propose a novel model, Dual-Aware Discriminative Fusion Mamba (DADFMamba), which is simultaneously aware of spatial-spectral structures and adaptively integrates discriminative features. …”
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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

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Thermal analysis for obtaining coal ignition characteristics in boilers——Part 2: Intrinsic reaction kinetics by Yang LIU, Zezheng SHI, Zhaoshuai CHEN, Haoyu GOU, Jiye TAO, Shiming XU, Bo YU, Peitao ZHAO, Peifang FU, Huaichun ZHOU

“…Although the study of thermal analysis reaction kinetics has been developed for decades, three main issues persist: ① Inconsistency between nonisothermal and isothermal kinetic parameters; ② Inconsistency between fixed kinetic parameters and mean variable kinetic parameters; ③ Lack of a universal kinetic model without uncertain parameters, such as the commonly used nth-order kinetic model, random pore model, and autocatalytic model, each containing uncertain parameters like reaction order n, structural parameter ψ, and reaction index a and c. …”
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Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM by Tao Zan, Xiaolong Jia, Xiaoyu Guo, Min Wang, Xiangsheng Gao, Peng Gao

“…This network, inspired by residual structures, extracts multiple features to build a control chart recognition model. …”
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Assessing the impact of hydro-climatic factors on surface water quality: A global review and synthesis by Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert

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