Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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A Comparative Evaluation of Three Different Attachment Methods for a Video Laryngoscope in a Surgical Setting by Linus L. Kienle, Leon R. Schild, Andreas M. Seitz, Viola D. Hahn, Jens Greve, Thomas K. Hoffmann, Patrick J. Schuler, Felix Boehm

“…Objective This study evaluates three attachment methods for integrating a curved video laryngoscope into a surgical setup, focusing on their resistance to external forces. …”
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Examining the levels of psychological support available to patients with haematological cancer in England: a mixed methods study by Eila Watson, Catherine Henshall, Jo Brett, Kate Robinson, Anke Ehlers, Paul Dawson, Graham P Collins, Tracy Mitchell-Floyd, Anya Aspinall, Catriona Gilmour-Hamilton

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Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds by Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi, Jacco Th. van Loon, Iain McDonald, Joana Oliveira, Amirhossein Masoudnezhad, Habib G. Khosroshahi, Bernard H. Foing, Fatemeh Fazel Hesar

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Spectral solutions for QS with distribution laws in the form of probabilistic mixtures by Veniamin N. Tarasov, Nadezhda F. Bakhareva

“…To derive a solution for the average waiting time in a queue, the classical method of spectral solution of the Lindley integral equation is used based on the Laplace transform of the distribution laws that form the considered QS. …”
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A new method to improve the power quality of photovoltaic power generation based on 24 solar terms by Qingqing Li, Wangjie Pan, Wangwang Jin, Qian Li, Zede Liang, Yuan Li

“…It was validated that the proposed grid connection method increases power grid stability by 17.75%. The average grid connection method developed in this paper, which more accurately aligns with seasonal solar radiation variations, contributes to advancing grid-connected PV systems and provides a practical strategy for large-scale PV power integration.…”
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YOLO-OHFD: A YOLO-Based Oriented Hair Follicle Detection Method for Robotic Hair Transplantation by Hui Wang, Xin Liu

“…YOLO-OHFD incorporates the ECA-Res2Block in its feature extraction network to manage occlusions and hair follicle orientation variations effectively. A Feature Alignment Module (FAM) is embedded within the feature fusion network to ensure precise multi-scale feature integration. …”
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Multi-Timescale Voltage Control Method Using Limited Measurable Information with Explainable Deep Reinforcement Learning by Fumiya Matsushima, Mutsumi Aoki, Yuta Nakamura, Suresh Chand Verma, Katsuhisa Ueda, Yusuke Imanishi

“…This study proposes a Machine Learning (ML)-based control method for sub-transmission grids, integrating long-term LRT tap-changing with short-term reactive power control of PCSs. …”
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Probabilistic Elastic-plastic Fracture Mechanics Analysis of Propagation of Cracks in Pipes under Internal Pressure by Belaïd Mechab, Medjahdi Malika, Mokadem Salem, Serier Boualem

“…This study presents a three dimensional finite element method analysis of semi-elliptical surface cracks in pipes under internal pressure load. …”
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Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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Inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity over fixed point sets by Manatchanok Khonchaliew, Narin Petrot

“…Abstract This paper introduces an inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity, constrained over the fixed point set of a nonexpansive mapping in the framework of a real Hilbert space. The proposed method integrates inertial and subgradient strategies to enhance convergence properties while avoiding the computational challenges of metric projections onto complex sets. …”
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A Personalized Energy Expenditure Estimation Method Using Modified MET and Heart Rate-Based DQN by Min-Seo Kim, Ju-Hyeon Seong

“…In this paper, we propose Real-Time Energy Expenditure (RTEE), a novel real-time and personalized energy expenditure estimation (EEE) method. The proposed RTEE integrates a Deep Q-Network (DQN)-based activity intensity coefficient inference network with a modified energy consumption prediction algorithm to estimate energy expenditure based on real-time variations in the user’s heart rate measurements. …”
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Improving measures of context in process evaluations: development and use of the Context Tracker tool by Joanna Busza, Fortunate Machingura, Cedomir Vuckovic

“…We tracked these over time across study sites using routine programme statistics, observation and qualitative methods. The Context Tracker enables identification and comparison of facilitators and barriers to implementation, variations in engagement with interventions, and how mechanisms of action are (or are not) triggered in different settings. …”
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Acoustic Fault Diagnosis Method for Rotating Machinery Based on Collaborative Perception Information Aggregation Guidance Network by Chaofan Li, Fan Zhang, Qichen Wang, Yufei Han, Tianrui Li, Fei Teng, Cai Yi, Yongmeng Wu

“…Subsequently, the collaborative perception layer integrates local frequency information extraction, multi-receptive field temporal information fusion, and redundancy reduction, thereby capturing the time-frequency variations of acoustic signals under complex operating conditions and enhancing condition awareness. …”
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A Bearing Fault Diagnosis Method Combining Multi-Source Information and Multi-Domain Information Fusion by Tao Sui, Yixiang Feng, Sitian Sui, Xueran Xie, Hui Li, Xiuzhi Liu

“…In modern industries, bearings are often subjected to challenges from environmental noise and variations in operating conditions during their operation, which affects existing fault diagnosis methods that rely on signals from single types of sensors. …”
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Generation Method for HVAC Systems Design Schemes in Office Buildings Based on Deep Graph Generative Models by Hongxin Wang, Ruiying Jin, Peng Xu, Jiefan Gu

“…Accuracy and precision metrics were used to compare the generated designs with automated forward design solutions, assessing the models’ ability to capture both local variations and broader changes in design logic. A graph-neural-network-based evaluation method was employed to measure the models’ capacity to detect changes. …”
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Stability Evaluation Method for Rock Slope-Anchorage Systems Based on Genetic Algorithms and Discrete Element Analysis by Peng Xia, Bowen Zeng, Yiheng Pan

“…Based on the results from discrete element analysis, the proposed method assesses the dynamic variation of multi-field data within the rock slope anchorage system, facilitating a comprehensive stability evaluation. …”
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Chemical Characteristics of Stack Particulate Matter Emitted from Sintering Process of an Integrated Steel Mill and Resolution of Source Contributors on Boundary PM2.5 by Cheng-Tsung Shao, Yu-Lun Tseng, Chung-Shin Yuan, Wen-Hsi Cheng, Nian-Jie Li, Jia-Yi Zhao

“…Methods PM2.5 samples were simultaneously collected from three stacks of the sintering process and two boundary sites located at the upstream (Site N) and downstream (Site S) of the steel mill. …”
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Assessment of Agro-Morphological and Yield-Related Traits of Vijay Wheat (Triticum aestivum L.) Variety Under Different Ploughing and Non-Ploughing Techniques by Md. Shamshad Ansari, Manoj Joshi, Binod Yadav, Bishnu Yadav

“…The results revealed significant variations among tillage practices. The Cultivator + Rotavator + Seed sowing method produced the highest grain yield (4.060 t/ha), outperforming other treatments. …”
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A New Method to Calculate Induced Current of Thin Wire over Anisotropic Ground under HPM by Le Cao

“…In this paper, the induced current of a thin wire over layered anisotropic half-space under a high-power microwave (HPM) is calculated by using the time-domain integral equation (TDIE) method. The reflection coefficient of a layered anisotropic medium is obtained by the general transmitting matrix (GTM) method combined with Fourier transform. …”
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