ArthroPhase: a novel dataset and method for phase recognition in arthroscopic video by Ali Bahari Malayeri, Matthias Seibold, Nicola A. Cavalcanti, Jonas Hein, Sascha Jecklin, Lazaros Vlachopoulos, Sandro Fucentese, Sandro Hodel, Philipp Fürnstahl

“…Our model employs a transformer-based architecture, utilizing temporal-aware frame-wise feature extraction through ResNet-50 and transformer layers. This approach integrates spatio-temporal features and introduces a Surgical Progress Index (SPI) to quantify surgery progression. …”
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HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques by Wishal Arshad, Tehreem Masood, H. M. Shahzad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

“…A customized convolutional neural network, built on EfficientNetV2-B3 with additional layers, achieves 97% accuracy and a 0.91 ROC-AUC score on the test set. …”
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Zr-MOF/MXene composite for enhanced photothermal catalytic CO2 reduction in atmospheric and industrial flue gas streams by Yang Meng, Feng Yue, Shuo Zhang, Lingji Zhang, Cong Li, Mengke Shi, Yongpeng Ma, Mario Berrettoni, Xiaojing Zhang, Hongzhong Zhang

“…In this study, a novel composite was engineered by integrating Zr-MOF (NH2-UIO-66) with MXene layers through electrostatic self-assembly. …”
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The paradigm shifts of periodontal regeneration strategy: From reparative manipulation to developmental engineering by Guanqi Liu, Junlong Xue, Xuan Zhou, Mixiao Gui, Ruidi Xia, Yanshu Zhang, Yihua Cai, Shuhua Li, Songtao Shi, Xueli Mao, Zetao Chen

“…Ideal periodontal regeneration requires the integration of alveolar bone, periodontal ligament, and cementum, along with Sharpey's fibers for occlusal force resistance. …”
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Application of Image Computing in Non-Destructive Detection of Chinese Cuisine by Xiaowei Huang, Zexiang Li, Zhihua Li, Jiyong Shi, Ning Zhang, Zhou Qin, Liuzi Du, Tingting Shen, Roujia Zhang

“…Food quality and safety are paramount in preserving the culinary authenticity and cultural integrity of Chinese cuisine, characterized by intricate ingredient combinations, diverse cooking techniques (e.g., stir-frying, steaming, and braising), and region-specific flavor profiles. …”
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Advances in Soil Moisture Mapping Techniques and Disaggregation Algorithms for Environmental and Agricultural Applications by M. Pablos, G. Portal, G. Portal, A. Camps, A. Camps, A. Camps, M. Vall-llossera, M. Vall-llossera, C. López-Martínez, C. López-Martínez

“…Future work includes the integration of multi-sensor data, to enhance machine learning models, and the improvement of SM measurements at deeper soil layers to support applications in arid regions.…”
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Reliability analysis of slow crack growth in HDPE pipes: Impact of buried pipeline design and soil characteristics by Theylor Andres Amaya Villabon, Juan Sebastián Valderrama, Paula Juliana Garzon, Carlos Eduardo Rodríguez, Guillermo Eduardo Ávila Álvarez

“…In addition to a thorough examination of these variables, a machine learning analysis was employed as a supplementary tool to contrast and quantify their significance in influencing the time of entry into medium and high probability of failure states. This layered approach, combining detailed variable analysis with machine learning insights, underscores the complex interplay of design and environmental factors in mitigating SCG probability of failure.Our research underscores that bedding angles under 90° substantially increase the likelihood of SCG-induced failures in HDPE pipelines. …”
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A Novel MaxViT Model for Accelerated and Precise Soybean Leaf and Seed Disease Identification by Al Shahriar Uddin Khondakar Pranta, Hasib Fardin, Jesika Debnath, Amira Hossain, Anamul Haque Sakib, Md. Redwan Ahmed, Rezaul Haque, Ahmed Wasif Reza, M. Ali Akber Dewan

“…We propose MaxViT-XSLD (MaxViT XAI-Seed–Leaf-Diagnostic), a Vision Transformer that integrates multiaxis attention with MBConv layers to jointly classify soybean leaf and seed diseases while remaining lightweight and explainable. …”
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Cross Attention-Based Multi-Scale Convolutional Fusion Network for Hyperspectral and LiDAR Joint Classification by Haimiao Ge, Liguo Wang, Haizhu Pan, Yanzhong Liu, Cheng Li, Dan Lv, Huiyu Ma

“…In the classification module, average polling, dropout, and linear layers are used to map the fused semantic representations to the final classification results. …”
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MTPrompt-PTM: A Multi-Task Method for Post-Translational Modification Prediction Using Prompt Tuning on a Structure-Aware Protein Language Model by Ye Han, Fei He, Qing Shao, Duolin Wang, Dong Xu

“…Experimental results demonstrate that MTPrompt-PTM outperforms state-of-the-art PTM prediction tools on 13 types of PTM sites, highlighting the advantages of multi-task learning and structural integration.…”
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Solid–Solid Interface Design for Hydrogen Production by Direct Seawater Electrolysis: Progress and Challenges by Bowei Zhou, Tong Wu, Yilin Dong, Yinbo Zhan, Fei Wei, Dongliang Zhang, Xia Long

“…Crucially, these configurations enable the synergistic integration of distinct material properties across different layers, thereby enhancing both electrochemical activity and structural stability in harsh seawater environments. …”
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AI-driven Influencer and Market Analysis: A Social Network Approach to Measure E-Commerce Relationships by Juhaida Abu Bakar, Chong Kar Min, Mohd Zulhisham Mohd Radzi, Fauziah Baharom, Yuhanis Yusof, Mohamed Ali Saip, Ruziana Muhamad Rasli, Muhammad Amirul Ariff Zulkifli, Nuratikah Jamaludin, Mustafa Ali Abuzaraida

“…Future research may explore the integration of dynamic network modelling with multi-layered e-commerce networks, thereby increasing the depth of analysis across various platforms and industries. …”
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Comparative assessment of soil bulk density measurements using core metal ring and power probe methods in acidic soils of Colombian pasturelands by Leonado Rodriguez, Leonado Rodriguez, Mike Bastidas, Mike Bastidas, Mayesse Da Silva, Juliana Arias, Javier M. Martín-López, Natalia Matiz-Rubio, Sandra Loaiza, Idupulapati Rao, Jacobo Arango, Ciniro Costa Junior

“…While the probe method showed higher variability, particularly in the 0–10 cm and 50–100 cm layers, which is likely due to soil compaction or stretching, it offers significant advantages in terms of cost reduction and improved work efficiency. …”
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Mechanical response analysis of asphalt pavement considering top-down crack based on FDM-DEM coupling simulation by Min Wang, Xin Yu, Chen Chen

“…A coupled simulation model integrating the finite difference method (FDM) and discrete element method (DEM) was employed to investigate the mechanical behavior of asphalt pavement containing a pre-existing TD crack. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…This study proposes a hybrid model for clean coal ash content in dense medium separation by integrating empirical mode decomposition, long short-term memory networks, and sparrow search algorithm optimization. …”
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Ground-penetrating radar and magnetic survey of Saruq Al-Hadid, United Arab Emirates: Revealing archaeological features by Sonia Santos-Assunção, Moamen Ali, Diana Francis, Mohammed Y. Ali, Charfeddine Cherif, Mansour B. Radwan, Mariam A. Alsuwaidi, Bader M. Al Ali, Jamal H. Safi, Muhammed A. Iqbal, Saif Ullah

“…Furthermore, some reactivation surfaces bounding numerous depositional layers were interpreted, indicating changes in climate conditions such as wind direction and intensity, air humidity, rainfall amounts, and the presence of temporary water channels.…”
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YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems by Chengxu Huang, Wenyuan Zhang, Beitian Zheng, Jiahao Li, Bochen Xie, Ruisi Nan, Zongming Tan, Baohua Tan, Neal N. Xiong

“…Unlike traditional YOLO models, YOLO-MES incorporates MobileNetV3 into underwater target detection, replacing the CSPDarknet backbone network, and optimizes the C3 and Conv layers through the bneck structure, significantly reducing computational demands and parameter scale at the architectural level. …”
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Differential regulation of C-C chemokines during fibroblast-monocyte interactions: adhesion vs. inflammatory cytokine pathways by C. Zickus, S. L. Kunkel, K. Simpson, H. Evanoff, M. Glass, R. M. Strieter, N. W. Lukacs

“…However, when isolated monocytes were layered onto 16 lu fibroblas tmonolayers as ignificant increase in MIP-1α and MCP- 1 production was observed. …”
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Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams by Zhipeng Liang, Jiayao Peng, Chunju Zhao, Huawei Zhou, Dongfeng Li, Yihong Zhou, Quan Liu, Xiaodong Li, Cheng Zhang, Fang Wang

“…The quantification algorithm of spatial–temporal conflict is proposed based on the three-layered space and time–space microelement model. The discrete system theory is employed to develop a simulation framework that systematically incorporates four core components: simulation objectives, construction machinery operational cycles, resource allocation mechanisms, and modeling assumptions. …”
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Geopolymer stabilization of expansive soils using zeolitic tuff: A sustainable alternative to cement-based stabilization by Rasil A. Kodah, Samer R. Rabab’ah, Hussien H. Aldeeky, Nikos D. Lagaros, Khairedin M. Abdalla

“…Pavement performance analysis using the Mechanistic-Empirical Pavement Design Guide (MEPDG) indicates that geopolymer-stabilized subbase layers improve structural integrity while reducing overall pavement rutting and fatigue cracking. …”
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