Research on non-destructive testing method for radial defect of anchor bolt based on longitudinal guided wave by Deying TANG, Weimin TANG, Zhiyi ZENG, Qing TIAN, Ailing LI, Yaling GUO, Erdi A’BI, Tongyu WU, Yibo WU

“…The method based on empirical mode decomposition can identify the defect information of anchor bolt accurately, and the error of fault location identification is 5.3%.…”
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Environmental DNA Epigenetics Accurately Predicts the Age of Cultured Fish Larvae by Eliot Ruiz, Fabien Leprieur, Gérard Sposito, Martina Lüthi, Michel Schmidlin, Jacques Panfili, Loïc Pellissier, Camille Albouy

“…Overall, our pilot study proposes new methods to determine the potential of eDNA for simultaneous age and biodiversity assessments, although robust validation of our preliminary results along with methodological developments are needed before field applications can be envisaged.…”
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Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study by Tran Thi Ngan, Tran Thi Ngan, Dang Huong Tra, Ngo Thi Quynh Mai, Hoang Van Dung, Nguyen Van Khai, Pham Van Linh, Nguyen Thi Thu Phuong, Nguyen Thi Thu Phuong

“…Further validation in external cohorts is essential to confirm its clinical applicability.…”
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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

“…Our study offers robust, parsimonious, and broadly applicable models for ET estimation across PFTs and climate zones.…”
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An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients by Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, Chalermdej Prapinpairoj, Kawee Anannub, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…The model facilitates real-time evaluation of rehabilitation progress by clinicians, with the lowest observed error rate of $$0.34^\circ$$ of angle measurement. …”
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Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M-type Stars Using a Spectral Emulator by Jun-Chao Liang, A-Li Luo, Yin-Bi Li, Xiao-Xiao Ma, Shuo Li, Shu-Guo Ma, Hai-Ling Lu, Yun-Jin Zhang, Bing Du, Xiao Kong

“…Experimental results demonstrate that our method is effectively applicable to parameter prediction for LAMOST, with the single-machine processing time within 70 hr. …”
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High-Precision Small-Signal Model for Double-Channel–High-Electron-Mobility Transistors Based on the Double-Channel Coupling Effect by Ziyue Zhao, Qian Yu, Yang Lu, Chupeng Yi, Xin Liu, Ting Feng, Wei Zhao, Yilin Chen, Ling Yang, Xiaohua Ma, Yue Hao

“…This double-channel coupling effect significantly limits the applicability of traditional small-signal models to DC-HEMTs. …”
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Obtaining the Highest Quality from a Low-Cost Mobile Scanner: A Comparison of Several Pipelines with a New Scanning Device by Marek Hrdina, Juan Alberto Molina-Valero, Karel Kuželka, Shinichi Tatsumi, Keiji Yamaguchi, Zlatica Melichová, Martin Mokroš, Peter Surový

“…The tested low-cost device produced moderate results, achieving a tree detection rate of up to 78% and a relative root mean square error (rRMSE) of 19.7% in diameter at breast height (DBH) estimation. …”
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Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

“…This study delves into verifying the applicability of object co-occurrence information generated by a large-scale language model (LLM) to enhance a robot’s spatial ability to understand objects in the real world. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

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Tourist attitudes towards SDGS and sustainable development: Evidence from Armenia by Svitlana Bilan, Gayane Tovmasyan, Svetlana Dallakyan, Anushavan Zhamkochyan, Aram Hovhannisyan

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MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

“…Vibration signals were collected using sensors placed along the track, alongside key system variables such as cart position, following error, speed, and set current. Experiments were conducted under a wide range of operating conditions, including different fault types, fault severities, cart speeds, and fault orientations, for both single-cart and multi-cart configurations. …”
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Navigating risk: Analyzing the effects of climate change and political connections on bank financing access for the agricultural sector by Silviana Pebruary, Hadi Ismanto, Fatchur Rohman, Dwi Falihaturrohman

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Integrating knowledge management with smart technologies in public pharmaceutical organizations by Muhanad Mahmoud, Talaat Shma, Adel Aziz, Abdelrehim Awad

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Optimizing Bundle Block Adjustment for High-Overlap Small-Format Multi-Head Camera Systems by T. Bannakulpiphat, T. Bannakulpiphat, W. Karel, C. Ressl, N. Pfeifer

“…Small-format multi-head camera systems integrating nadir and oblique cameras are becoming standard in photogrammetry, offering the versatility needed for UAV-based mapping and surveying applications to collect high-quality data in challenging environments. …”
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Techno-Economic Viability of Fuel Cell Emulator Toward Sustainable Energy Systems: A Survey by M. S. Priya, S. Saravanan, K. R. M. Vijaya Chandrakala, Umashankar Subramaniam, Sivakumar Selvam

“…The system has fascinated the attention of worldwide producers and research groups in the field of grid, microgrid and electric vehicle applications. Emulators have made it possible to develop and optimise the system in both steady-state and transient behaviour, as well as power electronics and control, without the cost or harm of a physical FC system, making it a valuable device for researchers and engineers in the design and optimisation of the FC technologies. …”
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Improved lightweight DeepLabV3+ for bare rock extraction from high-resolution UAV imagery by Pengde Lai, Chao Lv, Lv Zhou, Shengxiong Yang, Jiao Xu, Qiulin Dong, Meilin He

“…Results show the following: (1) When MobileNetV2 is used as the backbone of DeepLabV3+, the Accuracy, F1 score, and MIoU reach 97.39 %, 78.91 %, and 82.11 %, respectively, outperforming VGG16, Xception, SqueezeNet, and traditional segmentation models. (2) Applying the lightweight DeepLabV3+ model to bare rock identification in orthophoto imagery of the study area results in a bare rock rate error of approximately 5 %, demonstrating the practical applicability of the model. (3) After the introduction of the attention mechanism, the model's Recall, F1 score, and MIoU increased by 14.00 %, 8.37 %, and 5.62 %, respectively, remarkably enhancing identification completeness and boundary accuracy. …”
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Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Yuankai Wang, Rana Muhammad Adnan Ikram, Lie Wang, Soon Keat Tan

“…Additionally, CycleGAN-enhanced outputs exhibited a 35% reduction in relative error compared to Pix2Pix-generated images, significantly improving edge preservation and urban feature accuracy. …”
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Artificial Intelligence Control Methodologies for Shape Memory Alloy Actuators: A Systematic Review and Performance Analysis by Stefano Rodinò, Giuseppe Rota, Matteo Chiodo, Antonio Corigliano, Carmine Maletta

“…This synthesis establishes AI as a transformative paradigm for SMA actuation, enabling precise control in aerospace, biomedical, and soft robotics applications.…”
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Reliability of a VO2-derived running-speed threshold in trained men by Marialaura Espaillat, David M. Falkins, Brandi Antonio, David H. Fukuda, Jeffrey R. Stout

“…Future research should validate RSVO₂ against ventilatory and lactate thresholds and examine its applicability across sexes and clinical populations.…”
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