Numerical Investigation of Aerodynamic Noise Reduction of Nonpneumatic Tire Using Nonsmooth Riblet Surface by Haichao Zhou, Zhen Jiang, Jian Yang, Huihui Zhai, Guolin Wang

“…Based on the vortex theory, it was found that the nonsmooth riblet structure can reduce the Lamb vector, suppress the generation of flow vortices, decrease acoustic source strength, and effectively decrease noise up to 5.18 dB using the optimized riblet structure. …”
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Map‐matching for cycling travel data in urban area by Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn

“…The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.…”
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Prospects for diagnostics and treatment of neurofibromatosis type 1 in Russia by R. N. Mustafin

“…Material and Methods. The search for relevant sources was carried out in the Scopus, Web of Science, PubMed, Elibrary systems, including publications from February 1992 to December 2022. …”
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A systematic review on neutron radiography: applications, advantages, and challenges by Bibin Joseph, Maria Nicolet

“…But more work should be performed to optimize clinical usefulness. Portable neutron sources and better detector efficiency should be the focus of future innovations to make neutron radiography more applicable. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…However, traditional fault detection techniques often exhibit limitations when applied to the complex operational conditions, varying environmental factors, and multimodal data encountered in chemical equipment. These conventional methods typically rely on a single signal source or shallow feature extraction, which makes it difficult to effectively capture the deep, implicit information within the equipment's operating state. …”
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Preparation for Entering a Higher Educational Institution as an Investment Project by V. A. Kataeva, V. R. Masalkina, A. A. Ponomareva

“…The purpose of the study is to develop an algorithm for managing investments in preparation for entering a higher educational institution as an investment project.Materials and methods. The study includes a review of bibliographic sources on the existing methods and approaches to determining the economic efficiency of preparing for admission to a higher educational institution, as well as methods for assessing the effectiveness of investment projects. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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MODERN VIEWS ON TOOTH WHITENING by O.S. Kyrmanov, A.V. Lemeshko

“…Purpose. Analysis of the sources of scientific and medical information about the features of tooth whitening by various methods and their effectiveness with the presentation of their own clinical examples. …”
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Urban Environment Design in Youth Slang Interpretation: Linguo-Axiological and Lexicographical Aspects by K. V. Vasilyeva, T. G. Nikitina, E. I. Rogaleva

“…The research tasks include identifying typical and non-standard objects and motifs of evaluative urbanonymic nomination, developing optimal methods for describing interregional nominative parallels and unique slang terms in the dictionary of unofficial urbanonyms. …”
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Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…While deep learning-based image matching methods excel at extracting high-level semantic features from remote sensing data, their performance degrades significantly under cross-daylight conditions and wide-baseline geometric distortions, particularly in multi-source street-view scenarios. …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…By dividing the brain image into targeted regions around the brainstem, ventricular system, and striatum, our method optimizes GPU usage and significantly reduces training times, while maintaining high accuracy. …”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…The purpose of the work is to determine the optimal method for using athlete tracking when used online.Method. …”
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Effects of Artificial Vegetation Restoration Pattern on Soil Phosphorus Fractions in Alpine Desertification Grassland by Hongyu Qian, Nairui Yang, Haodong Jiang, Yinan Li, Ao Shen, Yufu Hu

“…The experimental outcomes of this study will help to understand the P availability and its potential sources during ecological restoration while providing a scientific foundation for selecting optimal restoration strategies in alpine sandy land.…”
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Genicular Nerve Ultrasound-Guided Cryoanalgesia for the Treatment of Chronic Knee Joint Pain: An Observational Retrospective Study by Giuliano Lo Bianco, Francesco Paolo D’angelo, Guillherme Ferreira Dos Santos, Agnes Stogicza, Matteo Luigi Giuseppe Leoni, Andrea M. Trescot, Robert Jason Yong, Christopher L. Robinson

“…Abstract Introduction Chronic knee pain caused by osteoarthritis (OA) is a prevalent source of disability in the adult population. Total knee arthroplasty (TKA) is an effective surgical treatment for advanced disease, but many patients continue to suffer from chronic post-surgical pain (CPSP). …”
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Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search by Ziyue Zhao, Zhi Xiong, Zhengnan Guo, Hao Zhang, Xiangyu Li, Zhongsheng Zhai, Weihu Zhou

“…The absolute value of the system angle error can be less than 0.4° within 8 m and 0–50°, with an angle update rate of 100 Hz. The research method in this paper can be applied to the dynamic measurement of laser tracking attitude angles, which provides a new reference for the angle measurement method based on the fusion of multi-source information.…”
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Dark-field X-ray microscopy with structured illumination for three-dimensional imaging by Doğa Gürsoy, Kaan Alp Yay, Elliot Kisiel, Michael Wojcik, Dina Sheyfer, Arndt Last, Matthew Highland, Ian Randal Fisher, Stephan Hruszkewycz, Zahir Islam

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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…Despite advancements, significant challenges persisted in balancing data ownership with research accessibility, integrating heterogeneous data sources, ensuring platform interoperability, and maintaining data quality. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
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Psycho-emotional conditions in primary care physicians who serve in a direct vicinity to the frontline by Larysa Kupriianova, Daryna Kupriianova

“…Concepts, visions and recommendations were created to optimize both the psycho-emotional well-being of first-line medical specialists and their more optimized social inclusion into civilian post-war professional and social life. …”
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Panoramic X-Ray Synthesis From Dental CBCT Using Patient-Tailored Simulated Geometry With Uniform Projection Sampling by Anusree P. Sunilkumar, Bikram Keshari Parida, Seong-Yong Moon, Wonsang You

“…Our method adjusts the ray trajectory to be optimal for a patient’s jaw shape and also achieves uniform ray sampling throughout the patient’s jaw by progressively increasing ray sampling intervals. …”
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