Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…PCCT shows great application potential in the diagnosis of cardiovascular diseases, especially in reducing beam-hardening artifacts and achieving ultra-high spatial resolution, which can further improve the specifi-city and positive predictive value in the assessment of coronary artery stenosis. …”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…By combining these methods with advancements in data processing, such as machine learning and predictive modeling, the potential for broader applications becomes evident. …”
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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing by Peiying Zhang, Hao Sun, Jingyi Situ, Chunxiao Jiang, Dongliang Xie

“…With the development of artificial intelligence and Internet of Things (IoT), the era of industry 4.0 has come. According to the prediction of IBM, with the continuous popularization of 5G technology, the IoT technology will be more widely used in factories. …”
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Potaxies and Fifes: The Formation of New Subcultures on TikTok by Pablo Santaolalla-Rueda, Cristóbal Fernández-Muñoz

“…Additionally, the study examines how digital platforms mediate intersectional experiences, favouring certain types of content through algorithms, and how participants navigate these opportunities and constraints to express their intersecting identities. …”
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Digitalization of human resource management: current trends and challenges for Russian enterprises by Mikhail K. Chernyakov, Irina A. Chernyakova

“…The findings of the article can be applied in shaping corporate strategies, government programs to support business digitalization, as well as in educational courses on HR management and IT. EDN: YPKICO…”
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Simulation of Quantum Dynamics Based on the Quantum Stochastic Differential Equation by Ming Li

“…The numerical simulation algorithm of stochastic process of direct photodetection of a driven two-level system for the predictions of the dynamical behavior is proposed. …”
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Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures by Michael Valente, Henry Ma, Andrew Bivard, Bernard Yan, Mark Parsons, Chushuang Chen, Milanka Visser

“…VTM variables were not predictive of anterior collateral grade or stroke outcome measures. …”
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An integrated Artificial neural network technique to optimize the various parameters of Pineapple/SiO2/epoxy-based nanocomposites under NaOH treatment by Natrayan Lakshmaiya, Naga Dheeraj Kumar Reddy Chukka, Seeniappan Kaliappan, V. Balaji, Nimel Sworna Ross, Ramya Maranan

“…Quantitative optimisation using the Taguchi technique Depending on the S/N ratio of Taguchi refinement, the nanocomposite with the maximum mechanical performance contains 20 % pineapple fibre with a length of 10 mm, 5 % nano SiO2, and 6 h of NaOH treatment. The ANN predictive algorithm and the Taguchi L27 array show that the experiment and projected data for tensile, flexural, and impact are within 3 % and 4 %. …”
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Research on a Conflict Early Warning System Based on the Active Safety Concept by Bozhao Shen, Zhiqing Zhang, Hao Liu, Shiyun Li, Lei Zhao

“…Through a driving simulation experiment, the speed prediction model after implementation of the warning system was examined. …”
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Optimization Design of Indoor Substation Ventilation and Noise Reduction Based on Deep Reinforcement Learning by Jinhui TANG, Fayuan WU, Yanli ZHI, Mengting MAO, Xiaomin DAI

“…Then, based on a large number of simulation data, the convolutional neural network is used to establish the prediction model of temperature and noise. Finally, considering the noise constraint, the maximum entropy reinforcement learning framework based SAC algorithm is used to optimize the design parameters of the air inlets with the goal of minimizing the indoor temperature of the substation. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

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Generalized perception of tree-row with distribution-peak feature in 3D point cloud for various orchards navigation by Yingxing Jiang, Wuhao Li, Jizhan Liu, Muhammad Mahmood ur Rehman, Binbin Xie, Jie Wang

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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A DHKELM-based combined prediction model is developed for each component of the decomposition, tailored to different weather types. …”
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Optimization strategy of UAV‐ARIS assisted vehicular communication system by Haitao Zhao, Zhuoran Xu, Yiyang Ni, Wenxue Sun, Hongbo Zhu, Yaxuan Liu, Zhaoying Mo

“…The authors first provide a UAV‐ARIS based position prediction strategy for the vehicle. Then, a joint RIS phase shift, amplification and UAV trail optimization algorithm is proposed to pursue a high achievable rate. …”
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Classical special functions of matrix arguments by Dmytro Shutiak, Gleb Podkolzin, Victor Bondarenko, Yury Chapovsky

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Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

“…Ultimately, the model was applied to predict lithology and identify lithofacies in the second member of Well-Qinye-1 and Well-Shaduo-1. …”
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Investigating the impact of fatty acid profiles on biodiesel lubricity using artificial intelligence techniques by Atthaphon Maneedaeng, Attasit Wiangkham, Atthaphon Ariyarit, Anupap Pumpuang, Ekarong Sukjit

“…To further analyze the impact of fatty acid composition on lubricity, an artificial intelligence (AI)-based approach using the Adaptive Boosting (AdaBoost) algorithm was implemented. The AI model effectively predicts wear scar diameter, friction coefficient, and film formation, providing insights into the complex interactions between fatty acid profiles and tribological performance. …”
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Validation of the 18-gene classifier as a prognostic biomarker of distant metastasis in breast cancer. by Skye Hung-Chun Cheng, Tzu-Ting Huang, Yu-Hao Cheng, Tee Benita Kiat Tan, Chen-Fang Horng, Yong Alison Wang, Nicholas Shannon Brian, Li-Sun Shih, Ben-Long Yu

“…We validated an 18-gene classifier (GC) initially developed to predict local/regional recurrence after mastectomy in estimating distant metastasis risk. …”
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Bioinformatic and clinical experimental assay uncovers resistance and susceptibility mechanisms of human glioblastomas to temozolomide and identifies new combined and individual su... by Alexander Modestov, Marianna Zolotovskaia, Maria Suntsova, Galina Zakharova, Aleksander Seryakov, Ivana Jovcevska, Jernej Mlakar, Elena Poddubskaya, Aleksey Moisseev, Grigory Vykhodtsev, Sergey Roumiantsev, Maksim Sorokin, Victor Tkachev, Aleksander Simonov, Anton Buzdin

“…Conclusion: In this study, a comprehensive analysis of the expression of 361 DNA repair genes and activation levels of 38 DNA repair pathways revealed 13 potential survival biomarkers with increased prognostic potential compared to MGMT methylation. We algorithmically reconstructed the TMZ sensitivity pathway with strong predictive capacity in GBM.…”
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Modelling Ergonomic Hazard Risks in Manual Handling: Insights from Ponorogo’s Traditional Industry by Dian Afif Arifah, Ratih Andhika Akbar Rahma, Triana Harmini, Dhiya Irsyad Hafidz

“…This study aims to develop a model to evaluate and predict ergonomic hazards using a neural network algorithm, focusing on the relationship between manual handling postures and musculoskeletal pain in 12 body regions. …”
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