Hierarchical Model for an AUV Swarm with a Leader by Zhao Qiang, Yang Tengfei, Tang Guoqiang, Yang Yan, Luan Yu, Wang Gang, Wan Teng, Xu Minyi, Li Shuai, Xie Guangming

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Frustrated phonon with charge density wave in vanadium Kagome metal by Seung-Phil Heo, Choongjae Won, Heemin Lee, Hanbyul Kim, Eunyoung Park, Sung Yun Lee, Junha Hwang, Hyeongi Choi, Sang-Youn Park, Byungjune Lee, Woo-Suk Noh, Hoyoung Jang, Jae-Hoon Park, Dongbin Shin, Changyong Song

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Oxide Membranes from Bulk Micro‐Machining of SrTiO3 Substrates by Nicola Manca, Alejandro E. Plaza, Leonélio Cichetto, Warner J. Venstra, Cristina Bernini, Daniele Marré, Luca Pellegrino

“…Abstract Suspended micro‐structures made of epitaxial complex oxides rely on surface micro‐machining processes based on sacrificial layers. …”
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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…The 2D images are subsequently processed using a recurrent neural network (RNN) architecture, which effectively detects complex patterns essential for accurate classification, while its capability to manage sequential data is further augmented by fully connected layers specifically designed for this purpose. …”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Abstract The Bel Canto performance is a complex and multidimensional art form encompassing pitch, timbre, technique, and affective expression. …”
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Subsea Nodule Recognition and Deployment Detection Method Based on Improved YOLOv8s by Jixin Li, Junchao Li, Bin Su, Yuxin Cui

“…An improved small-target detection model based on YOLOv8s is proposed to address the challenges associated with deep-sea polymetallic nodule detection, such as complex target shapes, small sizes, and strong environmental interference. …”
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Cause Analysis and Prevention of Hole Collapse by Water Injection and Dust Removal in Qi Panjing Coal Mine by Hua Guo, Hai-Qiao Wang, Shi-Qiang Chen, Zhi-Rong Wu

“…To solve the “special coal seam” with complex coal seam structure, fault phenomenon, and many gangue layers and complex gangue lithology in Qi Panjing coal mine, the problems such as hole collapse and blockage of coal seam water injection dust removal drilling are caused. …”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

“…Due to the complex changes in the physical and chemical properties of rolling bearings from degradation to failure, most model-driven and data-driven methods generally suffer from insufficient accuracy and robustness in predicting the remaining useful life of rolling bearings. …”
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Study of Antiultraviolet Asphalt Modifiers and Their Antiageing Effects by Jinxuan Hu, Shaopeng Wu, Quantao Liu, María Inmaculada García Hernández, Wenbo Zeng, Wenhua Xie

“…DSR test results indicate that the complex modulus of asphalt before UV ageing is increased because of modifiers, while the complex modulus of base asphalt after UV ageing is higher than that of the modified asphalt, which shows that the UV blocking modifiers promote the antiageing effects of asphalt. …”
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The impact of surface water-groundwater interactions on the fate and transport of typical PFAS by Zhilin GUO, Dongwei ZHAO, Zhanxiang PENG, Xuchen ZHAI

“…This study contributes to enhancing the accuracy of predicting the extent of pollution spread in similar complex environments, optimizing monitoring and response measures, and providing a scientific basis for pollution emergency management.…”
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HISTOLOGY AND HISTOPATHOLOGY OF BLOOD VESSELS: BACKSCATTERED SCANNING ELECTRON MICROSCOPY APPROACH by RINAT A. Mukhamadiyarov, ANTON G. Kutikhin

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Ghost Module-Enhanced MTCNN: A Lightweight Cascade Framework for High-Accuracy Face Detection in Edge-Deployable Scenarios by Chen Wang, Fen Liu

“…Face detection in complex environments remains challenging due to trade-offs between accuracy and computational efficiency, particularly for edge devices with limited resources. …”
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Pressure-induced enhancement of superfluid density in transition metal dichalcogenides with and without charge density wave by S. S. Islam, V. Sazgari, C. Witteveen, J. N. Graham, O. Gerguri, P. Král, M. Bartkowiak, H. Luetkens, R. Khasanov, F. O. von Rohr, Z. Guguchia

“…A systematic microscopic study across various compounds in this family is therefore required to unravel this complex interplay. Here, we report on muon spin rotation (µSR) and magnetotransport experiments investigating the effects of hydrostatic pressure on the superconducting transition temperature (T_{c}), the temperature-dependent magnetic penetration depth (λ_{eff}), and the charge density wave order (CDW) in two layered chalcogenide superconductors: 4H-NbSe_{2}, which exhibits CDW order, and 2H-NbS_{2}, which lacks such order. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The results prove the operability and effectiveness of the proposed solutions, demonstrating improved vulnerability detection, optimized attack strategy generation, and a higher success rate of penetration tests in a complex network environment.…”
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Vastnema crassicutaneum gen. et sp. nov. (Nematoda, Dorylaimida, Dorylaimidae), an interesting new taxon from natural areas of Vietnam by Tam T. T. Vu, Joaquín Abolafia, Anh D. Nguyen, Thi Mai Linh Le, Reyes Peña-Santiago

“…The new species is characterized by its three-layered cuticle, 12.5–15.5 µm thick at the anterior region; lip region 26–31 µm wide; odontostyle 49–60 µm long, or 1.8–2.0 times the lip region diameter; neck 627–888 µm long; pharyngeal expansion occupying 46–49% of the total neck length; uterus complex and 571–804 µm, or 3.2–4.3 body diameters long; longitudinal vulva; tail short and rounded in both sexes (39–56 µm, c = 98–140, c’ = 0.5–0.7); and spicules 138–160 µm long. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. ResBNet demonstrated high accuracy in predicting relative droplet radius, Strouhal number, and optimized geometric ratios, while FEN offered computational efficiency and robust performance across a broad range of flow rates. …”
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YOLO-SAD: Enhancing Small Aircraft Detection With Multi-Scale Context and Improved Gradient Flow by Xin Ning, Hongchang Ding, Xiaoqiang Guo

“…These results emphasize the robustness and efficiency of YOLO-SAD, establishing a new performance benchmark for small object detection in complex real-world scenarios.…”
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2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

“…The analysis revealed the spatial distribution characteristics of 2D nonlinear seismic effects on the surface of deep and complex sedimentary layers. The surface peak ground acceleration (PGA) amplification coefficients initially increased and then decreased as f p increases. …”
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PERFECTING OF TECHNOLOGY OF PROCESSING HIGHLY MINERALIZED WATERS ON THE BASIS THEORIES OF SCHEDULING EKSPERIMENOV AT THERMAL METHODS OF INCREASE IN OIL RECOVERY by N. I. Stoyanov, A. I. Voronin, E. V. Shaposhnikov

“…In the solution of strategic tasks in the sphere of an oil and gas complex of Russia of increase in volumes of extraction of hydrocarbons a specific place is held by such global raw resource as water. …”
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Efficient vision transformers with edge enhancement for robust small target detection in drone-based remote sensing by Xuguang Zhu, Zhizhao Zhang

“…This study proposes a lightweight transformer-based detector, MLD-DETR, which enhances detection performance in complex scenarios through multi-scale edge enhancement and hierarchical attention mechanisms. …”
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