Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams by Qinghua Xiao, Congming Li, Shengxiang Lei, Xiangyu Han, Qiaofeng Chen, Zemin Qiu, Biao Sun

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HR-pQCT and 3D Printing for Forensic and Orthopaedic Analysis of Gunshot-Induced Bone Damage by Richard Andreas Lindtner, Lukas Kampik, Werner Schmölz, Mateus Enzenberg, David Putzer, Rohit Arora, Bettina Zelger, Claudia Wöss, Gerald Degenhart, Christian Kremser, Michaela Lackner, Anton Kasper Pallua, Michael Schirmer, Johannes Dominikus Pallua

“…HR-pQCT datasets were segmented and processed for 3D printing using PolyJet, stereolithography (SLA), and fused deposition modelling (FDM). …”
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Advanced RuO2-based electrocatalysts for oxygen evolution reaction: A perspective from coordination structures by Qian Sun, Jiaxin Zhang, Wei Kong Pang, Bernt Johannessen, Peng Li, Guoqiang Zhao, Huaming Yang

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Effectiveness of ambulatory non‐invasive fetal electrocardiography: impact of maternal and fetal characteristics by Becky Liu, Basky Thilaganathan, Amar Bhide

“…Concurrent monitoring with both NIFECG and cCTG were performed for up to 60 minutes. Post‐processing of NIFECG produced signal loss, computed in both 0.25 (E240)‐ and 3.75 (E16)‐second epochs, and fetal heart‐rate and maternal heart‐rate values. cCTG signal loss was calculated in 3.75‐second epochs. …”
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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…Combined with a previously proposed auto-clustering technique, the method improves model training by optimizing the utilization of available data and reducing computational overhead. Secondly, this paper proposes the novel cluster-aware triplet-based metric loss function that addresses the limitations of contrastive and triplet loss, enhancing the overall training process. …”
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Research and application on megawatt level intelligent fracturing pump system in coal mine by Ran LI, Chuliang WANG, Bo LIU, Yanjun FENG, Pengfei JIANG, Rongming CHEN, Jingbin CHEN, Zhuo CHEN, Dalong WANG, Haicheng LU, Zongkai GUO, Tianze CAO, Yuanzheng YU, Chao WANG

“…The research included: Development of high-strength, erosion-resistant martensitic precipitation hardening stainless steel suitable for extreme conditions with large flow, ultra-high pressure, and sand-mixed media, along with ultra-high pressure self-reinforcing treatment to enhance the fatigue life of the hydraulic ends of fracturing pumps; Investigation of critical reliability technologies, including high-strength welding for alloy steel, high-load-bearing, high-power-to-weight ratio gear transmission technology, and wear-resistant friction pairs of aluminum bronze alloy-cast iron, to ensure the reliability of the transmission system under high-power conditions; Creation of a high-durability metal plunger-combination seal fracturing fluid sealing pair, with the application of computer simulation technologies such as virtual prototyping, FEA, CFD, and hydraulic system simulation to optimize the structure, performance, and reliability of the fracturing pump’s fluid end suction and discharge systems; Mastery of technologies such as low-frequency variable flow sealing for deep boreholes, automatic identification of coal and rock layer fracturing, and cyclic fracturing control, enabling intelligent control throughout the fracturing process. …”
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Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss by Miguel Chicchon, Francisco James Leon Trujillo, Ivan Sipiran, Ricardo Madrid

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Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence by Xuanyan Zhu, Yun Chen, Zhongyi Jiang, Ran Bi, Qiaoyang Zhang, Yanli Chen, Yupeng Jiang, Yin Cao, Guanzhong Dong

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How does supply chain collaboration improve innovation performance of SMEs? The roles of absorptive capacity and business environment by Bin Sang, Rafidah Md Noor, Ezlika Mohd Ghazali, Nasrin Aghamohammadi

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Waterproof and conductive tough fibers for washable e-textile by Hansu Kim, Jun-Gyu Choi, Taeyeon Oh, Inho Lee, Hyeongbeom Lee, Hanbit Jin, Chan-Hwa Hong, Hye Jin Kim, Tae-Wook Kim, Sungjun Park

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Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms by Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Yu Zhang

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Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes by Brian Cox, Thomas Kislinger, Dennis A Wigle, Anitha Kannan, Kevin Brown, Tadashi Okubo, Brigid Hogan, Igor Jurisica, Brendan Frey, Janet Rossant, Andrew Emili

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Channel Phase Nonreciprocity Compensation for Space-Frequency Line Coded OFDM Systems by Han-Gyeol Lee, Jihoon Choi, Juyeop Kim, Koichi Adachi, Yue Xiao, Jingon Joung

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Attention modulates human visual responses to objects by tuning sharpening by Narges Doostani, Gholam-Ali Hossein-Zadeh, Radoslaw M Cichy, Maryam Vaziri-Pashkam

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Lithium-Ion Battery Life Prediction Using Deep Transfer Learning by Wen Zhang, R. S. B. Pranav, Rui Wang, Cheonghwan Lee, Jie Zeng, Migyung Cho, Jaesool Shim

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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

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MAOA: A Swift and Effective Optimization Algorithm for Linear Antenna Array Design by Anoop Raghuvanshi, Abhinav Sharma, Abhishek Kumar Awasthi, Abhishek Sharma, Rahul Singhal, Kim Soon Chong, Sew Sun Tiang, Wei Hong Lim

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Alkali Metals Activated High Entropy Double Perovskites for Boosted Hydrogen Evolution Reaction by Ning Sun, Zhuangzhuang Lai, Wenbo Ding, Wenbo Li, Tianyi Wang, Zhichuan Zheng, Bowen Zhang, Xiangjiang Dong, Peng Wei, Peng Du, Zhiwei Hu, Chih‐Wen Pao, Wei‐Hsiang Huang, Haifeng Wang, Ming Lei, Kai Huang, Runze Yu

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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…To select the accurate cluster center, clustering by fast search and finding density peaks is utilized to compute the local density and relative distance of data points, constructing a decision graph based on these metrics. …”
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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

“…In addition, the SHAP method not only effectively reveals the decision-making process of ExAutoGP and enhances its interpretability, but also identifies genetic markers closely related to the traits. …”
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