Induction of intestinal barrier dysfunction in dairy heifers: Evaluation of new serum inflammatory markers and method for quantifying intestinal hyperpermeability by K.E. Vagnoni, E. Lopez-Cruz, M. Carranza, D.B. Vagnoni

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Influence of the nature of organic solvents on the process of separation of antioxidative additive in a transformer oil by a gas-chromatographic method by Duy Hung Nguyen, Yu. V. Snigireva, A. V. Taneeva, V. F. Novikov

“…The sample was dosed into the gas-liquid chromatograph injector using an automatic liquid dispenser DAZH-23, designed for entering up to twenty-three samples of sorbates and controlled by a computer with the appropriate software.METHODS. …”
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DiffGAN: A Fault Diagnosis Data Augmentation Method for Hydropower Units Based on Adversarial Training and Diffusion Model by Hongwei Zhang, Zhao Liu, Hansong Si, Zhongzhi Chen, Huiping Xie

“…It takes diffusion noise as the input for adversarial training, enhances the generator’s high-speed generation capability through adversarial training, optimizes the efficiency of the reverse generation process in traditional denoising diffusion models, and mitigates gradient vanishing and mode collapse issues in generative adversarial networks. Experiments were conducted on an actual hydropower unit dataset, and the results demonstrate that DiffGAN can efficiently generate fault data and significantly improve the sample distribution in imbalanced datasets. …”
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Research on Four-Quadrant Input Over-current Fault Diagnosis of Electric Locomotive Based on Recursive 2-Classification Method by Jianhua WANG

“…Reliable classification model was constructed by gradient boosting decision tree (GBDT) based on ensemble learning, and multi-label data was classified and diagnosed recursively by recursive 2-classification. Experiments on four-quadrant input over-current fault data files showed that this method could improve the classification and diagnosis of fault samples.…”
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LIA-QMS method for the quantity analysis of the hydrogen isotopes retention in first-wall components of Globus-M2 tokamak by O.S. Medvedev, A.G. Razdobarin, E.V. Shubina (Smirnova), M.V. Grishaev, D.I. Elets, L.A. Snigirev, A.S. Kolomiytsev, A.V. Nikolaev

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Accelerated Testing of High Power Transistors for Long Operation when Solving Problems of Prediction of their Reliability by the Method of Imitation Simulation by V. O. Kaziuchyts, E. V. Kalita, S. M. Borovikov, A. I. Berasnevich

“…The simulation model is obtained with the help of preliminary studies (training experiment) of a training sample of semiconductor devices of the type of interest with the volume of approximately 50 ... 100 copies. …”
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An Anomaly Node Detection Method for Wireless Sensor Networks Based on Deep Metric Learning with Fusion of Spatial–Temporal Features by Ziheng Wang, Miao Ye, Jin Cheng, Cheng Zhu, Yong Wang

“…The existing anomaly detection methods fail to fully capture correlations in multi-node, multi-modal time series data, limiting their effectiveness. …”
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Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM by Cheng Liu, Weiming Yang

“…Following this, the bald eagle search (BES) intelligent optimization algorithm is utilized to optimize the hyperparameters of the light gradient boosting machine (LGBM) model, further improving its predictive capability. Comparative experiments with various traditional machine learning models validate the effectiveness of the proposed method. …”
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Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma by Zhen Chen, Yongjun Zhang

“…Considering the critical role of tumor infiltrating lymphocytes in effective immunotherapy, this study was designed to screen molecular markers related to tumor infiltrating cells in LUAD, aiming to improve immunotherapy response during LUAD therapy. Methods The ConsensusClusterPlus method was used for clustering immune molecular subtypes of LUAD. …”
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Graph-Based Few-Shot Learning for Synthetic Aperture Radar Automatic Target Recognition with Alternating Direction Method of Multipliers by Jing Jin, Zitai Xu, Nairong Zheng, Feng Wang

“…However, the scarcity of annotated SAR data significantly limits the performance of conventional data-driven methods. To address this challenge, we propose a novel few-shot learning (FSL) framework: the alternating direction method of multipliers–graph convolutional network (ADMM-GCN) framework. …”
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Machine Learning-Based Partition Method for Cyclic Development Mode of Submarine Soil Martials from Offshore Wind Farms by Ben He, Mingbao Lin, Zhishuai Zhang, Bo Han, Xinran Yu

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Effect of using flat hierarchical method on some aspects of muscular strength and straight serve skill for nascent tennis players by Anaam Abdul-ridha Dr. Suhad Qassim Dr. Abeer Dakhil

“…Therefore, the researcher tried to diversify and experiment in the training process through the use of a training method suitable for the youth category and taking into account their level. …”
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Investigate the composition effect of Cu-Nb-B-Fe soft magnetic metallic glasses using deep learning method by ZhaoHui Huang, TianTian Zhang

“…In this paper, we introduced a universal method to predict if a composition can succeed in amorphous glass without sample preparation. …”
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Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…Experiments were conducted on the MovementAAL_RSS dataset. …”
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Research Note: Development of a reverse transcriptase recombinase-aided amplification method for detection of Parrot Borna Virus 4 by Yuhang Bai, Guixin Dong, Peng Zhang, Mengyue Dong, Jiaqian Rao, Qian Wang, Runlin Shao, Ruiheng Liu, Keyu Feng, Qingmei Xie, Xinheng Zhang

“…The coefficient of variation for the 3 repeatability experiments was below 10%. Tissue samples from 28 suspected cases of PaBV related deaths in parrots were analyzed using both RT-RAA and RT-qPCR methods. …”
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Sound quality control method of 110 kV transformer based on distributed variable stiffness dynamic vibration absorber by Cai Zeng, Xing Du, Songbo Guo, Jian Han, Xiaoqiong He, Xinbiao Xiao

“…To measure the actual impact of transformer noise on humans more effectively, this paper proposes to introduce the sound quality evaluation method into the evaluation of transformer noise. First, the field noise of a 110 kV transformer was measured, and the objective parameters and subjective scores of the noise samples were analyzed, and a subjective prediction model of sound quality was established using the multiple linear regression method. …”
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A multi-task allocation method for coal gangue sorting robots based on the integration of greedy strategy and scheduling rules by CAO Xiangang, DING Wentao, WU Xudong, WANG Peng, ZANG Jiasong, LIU Yizhe

“…A time-varying raw coal flow simulation environment with different maximum coal throughput was set up for multi-robot coal gangue sorting task allocation simulation experiments. The results showed that for time-varying raw coal flow samples with maximum coal throughput of 120 and 150 kg/s, the coal gangue sorting rates were 97.69% and 89.10%, respectively, when using the proposed multi-task allocation method with a greedy strategy and scheduling rules, which was an improvement of 6.82% and 5.67%, respectively, compared to the single scheduling rule method. …”
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Controlling pore size during the synthesis of hydroxyapatite nanoparticles using CTAB by the sol–gel hydrothermal method and their biological activities by Jayakodi Santhoshkumar, Shanmugam Rajeshkumar, Pandian Elumalai, Govindasamy Mani, Asiri Jaber M., Yadav Krishna Kumar, Ryeol Choi Jeong

“…Nanorod and nanosphere hydroxyapatite (HAP) particles were synthesized by the sol–gel hydrothermal method. The size of the synthesized HAP nanoparticles was controlled using cetyltrimethylammonium bromide (CTAB) as a templating agent with molar concentrations (HAP + 0.01 M CTAB, HAP + 0.03 M CTAB, and HAP + 0.1 M CTAB). …”
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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

“…However, existing TomoSAR height inversion methods do not fully leverage a priori knowledge, compromising the accuracy of deformation estimation; deep learning-based methods involve the integration of multiple steps, complicating the process. …”
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Development of a sensitive method for the quantitative analysis of 34 organophosphate esters in seabird eggs, liver, and fish liver tissue by Mandana Barghi, Eric Fries, Rahmi Chowdhury, Jennifer Provencher, Mark L. Mallory, Bonnie M. Hamilton, Bonnie M. Hamilton, Roxana Sühring

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