Cerium occurs as cerium-phosphate clusters around bioapatite nanocrystals in deep-sea sediments by Alain Manceau, Anne-Claire Gaillot, Jianlin Liao, Yan Li, Olivier Mathon, Kirill A. Lomachenko, Pieter Glatzel, Alexandre Simionovici, Mélanie Balvay, Sophie A. L. Paul, Andrea Koschinsky, Stephan N. Steinmann

“…After fish die, biogenic apatite captures rare earth elements from seawater on the seafloor and from pore waters during the diagenesis process. The conventional model for rare earth element enrichment suggests that they are incorporated into the bioapatite crystal structure through solid-state diffusion. …”
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Field-emission Properties of Ni-C Nanocomposite Films by A.V. Arkhipov, P.G. Gabdullin, M.V. Mishin, V.S. Protopopova, S.I. Krel, D.E. Drobinin, N.M. Gnuchev

“…The observed emission behavior agrees with the previously proposed model considering low-field emission from nanostructured carbonic materials as a multi-stage process involving generation of hot electrons at interface boundaries.…”
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Human AI collaboration for unsupervised categorization of live surgical feedback by Rafal Kocielnik, Cherine H. Yang, Runzhuo Ma, Steven Y. Cen, Elyssa Y. Wong, Timothy N. Chu, J. Everett Knudsen, Peter Wager, John Heard, Umar Ghaffar, Anima Anandkumar, Andrew J. Hung

“…We propose a Human-AI Collaborative Refinement Process that uses unsupervised machine learning (Topic Modeling) with human refinement to discover feedback categories from surgical transcripts. …”
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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning by Wenbo Li, Libo Liu, Yiding Chen, Zhuowei Xiao, Huijun Le, Ruilong Zhang

“…The results reveal that, compared with the shallow model of the typical Multi‐Layer Perceptron, the DL model can better extract multi‐scale features in the observations while retaining generalization capabilities. …”
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Effects of LPBF printing parameters on the columnar-to-equiaxed grain transition in FeCoCrNiMn alloys by Zhipeng Zhou, Ketai He, Qi Liu, Guoxuan Ming, Yangwei Du, Yongyong Gan, Chaofang Dong, Bailin Fan

“…Initially, a finite element model was developed to simulate the multi-layer LPBF printing process. …”
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Multi-Scale Residual Convolutional Neural Network with Hybrid Attention for Bearing Fault Detection by Yanping Zhu, Wenlong Chen, Sen Yan, Jianqiang Zhang, Chenyang Zhu, Fang Wang, Qi Chen

“…The multi-scale residual network structure captures features at various scales, and fault classification is performed using global average and max pooling. The model was trained with the Adam optimizer and sparse categorical cross-entropy loss by incorporating a learning rate decay mechanism to refine the training process. …”
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ArtInsight: A detailed dataset for detecting deterioration in easel paintingsZenodo by Francisco M. Garcia-Moreno, Jose Manuel del Castillo de la Fuente, Luis Rodrigo Rodríguez-Simón, María Visitación Hurtado-Torres

“…The dataset includes high-resolution images captured at the University of Granada using a digital camera with a 105 mm lens, ISO 125, F5, and a shutter speed of 1/13, and processed for color calibration. Two types of images are featured: those showing stucco technique interventions and those with Lacune from the loss of the Painting Layer (LPL). …”
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A machine learning framework to measure Water Drop Penetration Time (WDPT) for soil water repellency analysis by Danxu Wang, Emma Regentova, Venkatesan Muthukumar, Markus Berli, Frederick C. Harris, Jr.

“…It consists of an electronically controlled mechanism to release a water drop, and a video camera to record the water penetration process. The latter is modeled as an “action” in video and Temporal Action Localization (TAL) analytics is used for predicting the WDPT and assessing the SWR level.…”
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Enhancing BVR Air Combat Agent Development With Attention-Driven Reinforcement Learning by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…We propose a novel approach that introduces a task-based layer, leveraging domain expertise to optimize decision-making and training efficiency. …”
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On Knowledge-Based Forecasting Approach for Predicting the Effects of Oil Spills on the Ground by D. Kalibatiene, A. Burmakova, V. Smelov

“…It consists of components for modelling geological environment (i.e., geological layers, oil spill form, the oil migration with groundwater), forecasting component for an oil spill and pollution mitigation component. …”
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Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…This work proposes a complex network theory framework decoding structure–function coupling by mapping convolutional layers, fully connected layers, and Dropout modules into graph representations. …”
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Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems by Jongsung Kang, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, Byung Jang Jeong

“…By modeling the noisy backhaul link as a binarized feedforward layer, we developed a new neural network architecture suitable for AoA estimation using wireless sensor array systems, and we trained it using a straight-through gradient estimator. …”
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Tightening and anti-loosening performance of spring washer connecting bolts by Yaning Ren, Junkuo Li, Lihuan Wang, Fan Gao, Dachang Zhang, Hao Hu, Wanzhi Zhou

“…During the lateral vibration process, the decrease curve of preload consists of three stages: initial stage, stable stage, and loosening rotation stage. …”
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Neutronics Analysis on High-Temperature Gas-Cooled Pebble Bed Reactors by Coupling Monte Carlo Method and Discrete Element Method by Kashminder S. Mehta, Braden Goddard, Zeyun Wu

“…Additionally, the model predicts 213 fresh pebbles are needed to add to the top layer of the reactor to ensure the <i>k_eff</i> does not reduce below the assumed reactivity limit of 1.01.…”
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Subcellular Cavitation Bubbles Induce Cellular Mechanolysis and Collective Wound Healing in Ultrasound‐Inflicted Cell Ablation by Ziyue Bai, Zaimeng Li, Yue Shao

“…A post‐ablation phantom layer is also revealed that serves as a guiding cue for collective cell migration during wound healing, thereby providing a biomimetic model for studying wound healing after HIFU‐inflicted damage. …”
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Security and Performance Analyses of Post-Quantum Digital Signature Algorithms and Their TLS and PKI Integrations by Manohar Raavi, Qaiser Khan, Simeon Wuthier, Pranav Chandramouli, Yaroslav Balytskyi, Sang-Yoon Chang

“…We use a visualization model to show the key/signature size vs. security trade-offs for all PQC algorithms. …”
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Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence by Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido

“…The statistics were processed through a 225-layer convolutional neural network, achieving an 86% accuracy rate in detecting weapons in images featuring children, adolescents, and young adults. …”
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Investigating the settlement of the stone boulders breakwater located on the marine soft fine-grained soil by Amin Falamaki, Amir Hossein Shafiee, Jamal al-Din Iranmahboob, Farzad Arjmand

“…Soil resistance parameters that could not be determined through standard tests were derived through a process of back analysis. The study also investigated the effects of the thickness of the loose layer, variations in sea water levels, and the use of geotextile in the project. …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…To enhance feature extraction efficiency, an improved DenseNet model (SE-MPDenseNet) was developed by incorporating multi-feature parallel dense blocks (MP-DenseBlock) and squeeze-and-excitation transition layers (SE-TransLayer). …”
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OPTIMIZING FUEL CELL MEMBRANE EFFICIENCY THROUGH COMPARATIVE THERMAL ANALYSIS OF HYDROGEN FUEL VARIANTS by Jawad Ahmed, Imdad Ali, Sudheer Hussain, Abdul Latif, Qadir Baksh, Waqar Ahmed, Muhammad Ahmed

“…However, at a given voltage of 0.4 V and 0.8 V, hydrogen consistently operated at lower temperatures between the Gas Diffusion Layer (GDL), Gas Diffusion Electrode (GDE), and the PEM compared to the hydrogen methanol fuel. …”
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