Robust Vessel Segmentation in Fundus Images by A. Budai, R. Bock, A. Maier, J. Hornegger, G. Michelson

“…This outperforms state-of-the-art methods.…”
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Immune privilege in the subretinal space and prospects of retinal pigment epithelium transplantation in degenerative diseases of the retina by N. V. Neroeva, N. V. Balatskaya, L. A. Katargina, A. G. Brilliantova

“…The conditions and possible mechanisms that trigger graft rejection, methods aimed at preventing tissue incompatibility reactions are also discussed.…”
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Virtual Reality Applied to Design Reviews in Shipbuilding by Seppo Helle, Taneli Nyyssönen, Olli Heimo, Leo Sakari, Teijo Lehtonen

“…The designs can often be evaluated better in VR than using traditional methods. Material savings are possible by using virtual mock-ups instead of physical ones. …”
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Verbal and Non-Verbal Means of Expressing Neutrality in the Communicative Behavior of a Mediator by A. S. Kinderknekht, I. A. Iakovleva

“…On the subject of neutrality, sound reactions, kinetic, visual and spatial signals of the mediator are analyzed. …”
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A dataset for surface defect detection on complex structured parts based on photometric stereo by Lin Wu, Yu Ran, Li Yan, Yixing Liu, You Song, Dongran Han

“…Four object detection methods (FCOS, YOLOv5, YOLOv8, and RT-DETR) were validated on the MSDD, achieving an mAP of 86.1%, surpassing traditional methods. …”
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A novel model for expanding horizons in sign Language recognition by Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik

“…Abstract The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. …”
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Emotional and personality traits of pain perception in women with pain syndrome in endometriosiss by E. A. Petrova, V. A. Cherepovskaya, F. V. Pahomova, S. Yu. Kruglov, V. V. Belonogova, E. R. Isaeva, V. F. Bezhenar

“…The following psychodiagnostic methods were used: «The McGill Pain Questionnaire», «Visual Analogue Scale», «Giessen test», the test of L. …”
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Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

“…This special issue calls for original contributions introducing novel datasets, innovative architectures, and advanced training methods for tasks related to visual anomaly detection and open‐set recognition.…”
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Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning by Sajid Mannan, Vaibhav Bihani, N. M. Anoop Krishnan, John C. Mauro

“…However, the curse of dimensionality prohibits one from enumerating and visualizing the energy landscape—the energy landscape of an N‐atom system has 3N dimensions. …”
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Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features by Pin-Hao Huang, Sheng-Yu Song, Zhen Xu, Zhen-Zhong Hu, Jia-Rui Lin

“…Experiments show that the proposed approach demonstrates an efficiency of 780 times greater than manual retrieval methods and 4–6% more efficient than traditional methods. …”
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Non-local spatiotemporal fusion incorporating optical flow estimation and spatial-spectral mitigation-based residual by Yaxu Wang, Xiaobo Luo, Hongwei Ye

“…Extensive experiments demonstrate that our method outperforms other weighted-based methods visually and quantitatively.…”
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Debridement and bone graft fusion via the lateral extracavitary approach combined with lateral and posterior screw-rod fixation in the treatment of thoracic spinal tuberculosis: A... by Shuanhu Lei, Jianwei Zhou, Li Guo, Xiaoli Guan, Mingtao Zhang, Haiyuan Yue, Xuewen Kang

“…We have practiced an efficient and safe surgical method. Methods: From January 2013 to April 2021, 38 patients with thoracic spinal TB were included in our study. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

“…To address these challenges, we propose Med-DGTN, a dynamically integrated framework designed to advance multi-label classification performance in clinical imaging analytics.MethodsThe proposed Med-DGTN (Dynamic Graph Transformer Network with Adaptive Wavelet Fusion) introduces three key innovations: (1) A cross-modal alignment mechanism integrating convolutional visual patterns with graph-based semantic dependencies through conditionally reweighted adjacency matrices; (2) Wavelet-transform-enhanced dense blocks (WTDense) employing multi-frequency decomposition to amplify low-frequency pathological biomarkers; (3) An adaptive fusion architecture optimizing multi-scale feature hierarchies across spatial and spectral domains.ResultsValidated on two public medical imaging benchmarks, Med-DGTN demonstrates superior performance across modalities: (1) Achieving a mean average precision (mAP) of 70.65% on the retinal imaging dataset (MuReD2022), surpassing previous state-of-the-art methods by 2.68 percentage points. (2) On the chest X-ray dataset (ChestXray14), Med-DGTN achieves an average Area Under the Curve (AUC) of 0.841. …”
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Bacteriome of the soil affected by hostilities as a source of isolation of plant growth-promoting metal-resistant bacteria by Olha Maslovska, Solomiia Komplikevych, Diana Zinchuk, Andriy Hnatush, Yeva Zaritska, Oleksiy Telehuz, Svitlana Hnatush

“…Abstract Background The work is aimed at a comprehensive analysis of soil changes after a mortar shell explosion, including the study of changes in the bacteriome composition, the physical and chemical properties of the soil, and the search for plant growth-promoting (PGP) metal-resistant bacteria. Methods Soil samples from the mortar shell crater and the visually not-affected area were examined. …”
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Using statistical analysis to evaluate enterprise performance in the Python programming environment by O. G. Konyukova, F. F. Baratova

“…The scientific article used the main research methods: monographic, comparative analysis, classification and generalization. …”
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Organising Competition Using Online Form Technology as a Means of Increasing Chinese Students' Motivation in Learning RFL by Jiang Tao

“…The article discusses the need to improve the method of monitoring extracurricular activities in order to increase the motivation of Chinese students in the absence of a natural language environment. …”
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Primiparous and multiparous women's birthing experiences and satisfaction with pain management in the first and second stages of vaginal delivery—A prospective cohort study by Katja Mäkelä, Outi Palomäki, Mika Helminen, Jukka Uotila

“…We wanted to evaluate the impact of pain relief on the birthing experience during the first and second stages of labor among primiparous and multiparous women. Material and Methods A total of 2042 parturients (953 primiparous and 1089 multiparous women) completed a questionnaire on the second day after vaginal delivery and, using visual analogue scale (VAS), assessed their experience and satisfaction with their pain management during the first and second stages of labor. …”
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Mobile Technologies in Teaching Mathematics by T. P. Pushkareva, N. V. Titovskaya, S. N. Titovsky

“…The relevance of the paper is due to the need to introduce new methods and means of teaching in connection with the increasing integration of mobile technologies into all areas of life, the interests and characteristics of the new, networked generation of students, the limited possibilities of using innovative methods and means of teaching mathematics due to the conduct of classes outside the computer lab.Materials and methods. …”
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Validity assessment of a third-generation light-induced fluorescence device in detecting proximal and occlusal caries lesions: A cross-sectional study by Ahmad Bittar, Tuba Çetin, Gizem Meva Başyiğit, Burcu Gözetici‑Çil

“…All occlusal surfaces were evaluated in accordance with the International Caries Detection and Assessment System (ICDAS) Nyvad Criteria, using the visual tactile method. The ICDAS employs a scoring system ranging from 0 to 6, while the Nyvad Criteria employs a similar scoring system. …”
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A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
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