Toward an Ab Initio Theory of High-Temperature Superconductors: A Study of Multilayer Cuprates by Benjamin Bacq-Labreuil, Benjamin Lacasse, A.-M. S. Tremblay, David Sénéchal, Kristjan Haule

“…Nevertheless, material-specific predictions, while essential for constructing a comprehensive theory, remain challenging due to the complex relationship between real materials and the parameters of the effective models. …”
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Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads by Chenyuan He, He Yang, Zhouyu Zhang, Hai Wang, Yingfeng Cai, Long Chen, Can Zhong, Yiqun Zhang

“…The segmentation stream introduces GAL-DeepLabv3+plus, which integrates a Dense Atrous Spatial Pyramid Pooling (DenseASPP) module and a Graph Attention Layer (GAL) into the standard DeepLabv3+ architecture, thereby enhancing contextual reasoning and boundary refinement. …”
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Identification of interlayer and connectivity analysis based on machine learning and production data: A case study from M oilfield by Xiaoshuai Wu, Yuanliang Zhao, Jianpeng Zhao, Shichen Shuai, Bing Yu, Junqing Rong, Hui Chen

“…Based on the existing well area data such as logging data and core data, this paper uses machine learning method to quantitatively identify the interlayers in the single well layer of CⅢ sandstone group in the M oilfield. Through the comparison of various classifiers, it is found that the decision tree method has the best applicability and the highest accuracy in the study area. …”
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Advanced hybrid deep learning model for enhanced evaluation of osteosarcoma histopathology images by Arezoo Borji, Arezoo Borji, Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Bernhard Angermayr, Sepideh Hatamikia, Sepideh Hatamikia

“…Techniques such as deep learning, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are now enabling the precise analysis of complex histopathological images, automating detection, and enhancing classification accuracy across various cancer types. …”
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Construction of Q&A methods based on knowledge graphs and large language models-improving the accuracy of landscape pest and disease Q&A by Zhixin Gu, Ting Long, Shuairan Wang, Xiaowei Shang, Weizheng Shen, Xiaoli Wei, Kaihong Xu

“…Identify key entities and relationships to construct a conceptual pattern layer. Applying the ERNIE-BiLSTM-CRF model to extract knowledge from unstructured data. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…Numerical models are the most prevalent of the traditional approaches, which are often too complex and lack of generality. Recently, with the rise of AI, many data-driven methods are proposed. …”
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EEG-SymNet: multi-channel EEG signal-based schizophrenia diagnosis using channel recalibration and symmetric spatial temporal transformer network by Naif Alsharabi, Rakesh Kumar Mahendran, Gharbi Alshammari

“…Finally, a classifier layer is employed to provide accurate classification of the signals into schizophrenia and non-schizophrenia categories. …”
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MRDDA: a multi-relational graph neural network for drug–disease association prediction by Congzhou Chen, Yaozheng Zhou, Yinghong Li, Jin Xu, Demin Li, Lingfeng Wang

“…Finally, we present a layer-wise attention mechanism to integrate embeddings from various layers. …”
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SAR evaluation of MIMO antennas with a wide tunable range power divider by Yuhang Gu, Jialin Huang, Ruiya Shi, Taiyang Xie, Kun Li, Xiaolong Wang

“…Dosimetry analysis was performed using a multi-layer human body model, which was exposed by orthogonally fed antenna arrays with tunable PDs at 2.45 GHz. …”
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Interface engineering induced Dzyaloshinskii-Moriya interaction enhancement in Py/Ti/CoFeB/MgO heterostructures by Xiaoyue Song, Zhiqiang Cao, Ligang Bai, Junbiao Zhao, Junbiao Zhao, Xudong Cai, Dapeng Zhu, Guodong Wei, Guodong Wei

“…Therefore, determining the optimal interface structure to maximize the DMI value presents a complex challenge. In this work, Brillouin light-scattering (BLS) spectroscopy quantitatively reveals a strong interfacial DMI of 17 μJ/m2 in Py/Ti (tTi)/CoFeB/MgO heterostructures with robust perpendicular magnetic anisotropy when the thickness of the Ti layer is 2 nm. …”
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DMF-YOLO: Dynamic Multi-Scale Feature Fusion Network-Driven Small Target Detection in UAV Aerial Images by Xiaojia Yan, Shiyan Sun, Huimin Zhu, Qingping Hu, Wenjian Ying, Yinglei Li

“…The method exhibits superior robustness in dense scenarios, complex backgrounds, and long-range target detection. …”
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An embedded KPI-based advisory framework for monitoring and diagnosis of soft sensor degradation by Muhammad Shahid, Haslinda Zabiri, Syed Ali Ammar Taqvi

“…Thus, the ASSMI framework allows timely, fault-specific advisory actions to avoid unnecessary interventions, lower maintenance costs, and support robust soft sensor performance in complex, dynamic industrial environments.…”
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Mechanical performance of 3D printed functionally graded PETG: An experimental investigation by Sheikh Aadil Hussain, M.S. Charoo, Mir Irfan Ul Haq

“…In contrast, samples with the octahedral pattern exhibited larger voids, poor layer adhesion, and delamination, likely contributing to their reduced strength. …”
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MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images by Shengbang Zhou, Song Zhang, Chuanqi Li, Shutian Liu, Dong Chen

“…Due to complex backgrounds, significant scale variations of targets, and dense distributions of small objects in Unmanned Aerial Vehicle (UAV) aerial images, traditional object detection algorithms face challenges in adapting to such scenarios. …”
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Recycling of Multilayer Flexible Packaging Waste Through Delamination with Recoverable Switchable Hydrophilicity Solvents by Roberta Mastroddi, Chiara Samorì, Martina Vagnoni, Chiara Gualandi, Paola Galletti, Emilio Tagliavini

“…The use of several polymeric layers is essential to achieve the desired technical and mechanical performance of the packaging; however, this makes layer separation and recycling challenging. …”
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The Analysis of 3D Printing Thermoplastic Materials by Using FDM Technique by Shoukat Ali noonari, Amna Hafeez rajout, Hamza Shaikh Shaikh, Jabir Ali Ali, Aftab Ahmed Khuhro Khuhro, Faheem Ahmed Solangi Solangi

“… The size of the production run and the geometric complexity of the component are the primary factors limiting the use of standard manufacturing methods; thus, we are often compelled to employ procedures and equipment that raise the element's final cost. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…After feature selection, our novel SCM-DL deep learning classifier model (apart from the architectures in literature, this model is constructed internally with parallel layers and carries a combinatorial layer that is beyond the combination of existing techniques) is applied and compared with Random Forest, Decision Tree, Extra Tree, and Support Vector Classifiers. …”
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Health IoT Threats: Survey of Risks and Vulnerabilities by Samaneh Madanian, Tserendorj Chinbat, Maduka Subasinghage, David Airehrour, Farkhondeh Hassandoust, Sira Yongchareon

“…According to our analysis, the vulnerabilities in IoT in healthcare are classified into three main layers: perception, network, and application. We comprehensively reviewed IoT privacy and security threats on each layer. …”
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Challenges of Fuel Cell Technologies for the Needs of the Energy Transition to a Zero-carbon Technology by Ostroverkh A. S., Solonin Yu. M., Bezdorozhev O. V., Ostroverkh Y. M., Shcherbatiuk O. M., Dubau M., Kovalenko L. L.

“…The thorough structure optimization of the membrane-electrode complex and testing in actual operating conditions will accelerate the implementation of fuel cell technologies. …”
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Evaluation of the Zirconium Hydride Morphology at the Flaws in the CANDU Pressure Tube Using a Novel Metric by Alexandra Ion Jinga, Mărioara Abrudeanu, Vasile Radu, Alexandru Niţu, Livia Stoica, Denisa Toma, Mircea Ionuţ Petrescu

“…In this paper, pressure tube alloy samples with artificial V flaws were hydrided by the technique of electrolytic deposition of a hydrogen film layer, followed by a specific thermal treatment. …”
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