Prediction of Soil Pollution Risk Based on Machine Learning and SHAP Interpretable Models in the Nansi Lake, China by Min Wang, Ruilin Zhang, Beibei Yan, Chengyuan Song, Yang Lv, Hengyi Zhao

“…The primary objective was to predict the level of soil pollution caused by heavy metals, incorporating the traditional Pollution Load Index (PLI) and Potential Ecological Risk Index (PERI) methods. …”
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Simulation of mechanical behavior and multi-scale performance analysis of complex microstructural models in composite material layer design by Hailiang Su, Qiulin Qin, Deng An, Tengteng Wei, Zhe Han, Yuyan He, Guogui Huang

“…To examine the impact of the intricate microstructural features of glass fiber reinforced polymer on the macroscopic performance of composite materials, a multi-scale analysis was carried out on the composite leaf spring, utilizing the detailed characteristics of the complex microstructures. …”
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Isolated High-Gain DC-DC Converter with Nanocrystalline-Core Transformer: Achieving 1:16 Voltage Boost for Renewable Energy Applications by Tania Sandoval-Valencia, Dante Ruiz-Robles, Jorge Ortíz-Marín, Jesus Alejandro Franco, Quetzalcoatl Hernandez-Escobedo, Edgar Moreno-Goytia

“…This paper presents an isolated DC-DC converter with high voltage gain that features an advanced inter-built nanocrystalline-core medium-frequency transformer (NC-MFT). …”
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Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation by Asmaa M. Aboelezz, Magdi M. El-Saadawi, Abdelfattah A. Eladl, Magda I. El-Afifi, Vladimír Bureš, Bishoy E. Sedhom

“…The technique involves Fast Fourier Transform analysis of current and voltage waveforms to extract high-frequency components before and after a fault. These features help identify the system’s high-frequency impedance via a communication system. …”
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Experimental study on blasting fracture and stress wave propagation characteristics of hard rock under different boundary conditions by Nao Lv, JiChao Duan, HaiBo Wang, XiaoHong Zhou, BaoLiang Zhou

“…Using FrcPaQ technology and high-speed strain equipment, the analysis focused on fracture features, crack distribution, and stress wave propagation patterns, highlighting the key role of boundary conditions in determining blasting outcomes. …”
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In-Wheel Motor Fault Diagnosis Method Based on Two-Stream 2DCNNs with DCBA Module by Junwei Zhu, Xupeng Ouyang, Zongkang Jiang, Yanlong Xu, Hongtao Xue, Huiyu Yue, Huayuan Feng

“…The integration of DCBA with dual-domain feature learning effectively enhances fault feature extraction under complex operating conditions.…”
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Continuous multimodal data supply chain and expandable clinical decision support for oncology by Jee Suk Chang, Hyunwook Kim, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jin Sung Kim, Sang Joon Shin

“…An Extract-Transform-Load (ETL) process with natural language processing transformed unstructured data, enabling survival analyses stratified by tumor stage, which revealed significant stage-dependent differences. …”
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Natural Bioactive Compound-Integrated Nanomaterials for Diabetic Wound Healing: Synergistic Effects, Multifunctional Designs, and Challenges by Tao Lu, Xuan Zhou, Shuai-Yu Jiang, Qing-Ao Zhao, Zi-Yi Liu, Dao-Fang Ding

“…This review systematically catalogs the application of nanomaterial-loaded biomolecules, focuses on innovative progress in plant-based and animal-derived nanosystems, and further elucidates the multimodal therapeutic potential of synthetic–natural hybrid nanosystems. …”
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Computational simulation of short-range order structures in high-entropy alloys: a review on formation patterns, multiscale characterization, and performance modulation mechanisms by Hongyang Liu, Bo Chen, Rong Chen, Jingzhi He, Dongdong Kang, Jiayu Dai

“…By comparing ordered structural features across diverse HEA systems, we elucidate the influence of temperature, composition, and defects on SRO formation dynamics. …”
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Application of Aperiodic “Einstein” Monotile in Phased Arrays With Limited Beam Scanning Range by Yunfei Qiang, Xiaochuan Fang, Rui-Xin Wu, Qian Chen, Wei Wang

“…Example A presents a sparse phased array, where each element is embedded within a Hat polykite, optimized for a maximum grating lobe level of −15 dB. Example B features a subarray comprising eight antenna elements based on the Hat polykite. …”
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ESLiteU²-Net: A Lightweight U²-Net for Road Extraction From High-Resolution Remote Sensing Images by Rui Xu, Zhenxing Zhuang, Renzhong Mao, Yihui Yang

“…This innovative design enables the model to better capture and reinforce road features across both spatial and channel dimensions, resulting in significant improvements in extraction accuracy and robustness while maintaining a lightweight structure. …”
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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…Furthermore, to enhance the interpretability of prediction results, the SHAP method is employed for global model interpretation, analyzing the impact of input features (e.g., geometric parameters, material properties, and load characteristics) on seismic mechanical performance. …”
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Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment by Rui Liu, Yuanyuan Jia, Xiangqian He, Zhe Li, Jinhua Cai, Hao Li, Xiao Yang

“…We utilized the normalized histogram, mean value, and variance of each image as input features to train the classification model, based on ensemble learning with multiple classifiers. 600 left-hand radiographs with the bone age ranging from 1 to 18 years old were included in the dataset. …”
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Step-Up DC-DC Converter Supplied by a Thermoelectric Generator for IoT Applications by José Almeida, P. Mendonça dos Santos, João Caldinhas Vaz, Ricardo A. Marques Lameirinhas, Catarina Pinho Correia Valério Bernardo, João Paulo N. Torres

“…These designed features suggest applications in remote IoT nodes and portable devices, delivering sufficient power to backup the supply of corresponding sensing and communication low-power circuits, reducing the necessity of battery replacements or increasing their lifetime.…”
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POLYCODE TEXT AS A SPACE OF CONFLICTOGENITY MANIFESTATION by Oleg A. Alimuradov, Maxim N. Latu, Aleksey V. Razduyev

“…The article is devoted to the identification of the linguasemiotic features of a polycode text as a space for manifestation of conflictogenicity. …”
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Relación entre el tipo de ejercicio físico y la fatiga cuantificada mediante VFC, CK y el lactato en sangre (Relationship between physical exercise type and fatigue quantified thr... by German Hernández-Cruz, Edson Francisco Estrada-Meneses, Arnulfo Ramos-Jiménez, Blanca Rocío Rangel-Colmenero, Luis Felipe Reynoso-Sánchez, Janeth Miranda-Mendoza, José Trinidad Quezada-Chacón

“…Abstract: Athletes are exposed to high-intensity loads to promote athletic performance, however, the effects are not evaluated appropriately. …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…3D additive manufacturing enables the fabrication of nanophotonic structures with subwavelength features that control light across macroscopic scales. …”
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Robust On-Demand Multipath Routing with Dynamic Path Upgrade for Delay-Sensitive Data over Ad Hoc Networks by Sunil Kumar, Siddharth Khimsara, Kashyap Kambhatla, Kalyani Girivanesh, John D. Matyjas, Michael Medley

“…The simulations are carried out in ns-2 for varying node speeds, number of sources, and traffic load conditions. Our AOMDV-DPU scheme achieves significantly higher throughput, lower delay, routing overhead, and route discovery frequency and latency compared to AOMDV. …”
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An Ensemble-Based Classifier to Determine the Harmonic Contribution Responsibility Between Utility’s Grid and Microgrids by Matheus C. Mella, Ricardo A. S. Fernandes, Daniel Barbosa

“…The integration of nonlinear loads and distributed energy resources in microgrids (MG) has increased the levels of harmonic distortions in distribution feeders. …”
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Streamlined Bearing Fault Detection Using Artificial Intelligence in Permanent Magnet Synchronous Motors by Javier de las Morenas, Lidia M. Belmonte, Rafael Morales

“…The methodology involves preprocessing motor current signals through fast Fourier transform (FFT) and Hilbert transform-based envelope analysis to extract harmonics without being masked by the fundamental supply frequency. These features are used to train machine learning models, considering variations in both speed and load. …”
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