A longitudinal EEG dataset of event-related potential by Yufeng Zhang, Hongxin Zhang, Yixuan Li, Yijun Wang, Xiaorong Gao, Chen Yang

“…Abstract Electroencephalogram (EEG)-based biometric emerges as a promising authentication method, offering a novel insight into the future security systems. …”
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Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…After data encoding and embedding into the low-order bits of host image, modulus function is used to increase visual quality of stego image. Since the proposed method is able to embed secret information into more significant bits of the image, it has improved embedding payload. …”
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Didactic potential of digital technologies in linguistic education of university students by Olga M. Osiyanova, Yulia S. Kondrashina

“…Mathematical methods were used to track the formation of students' linguistic competence. …”
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Comparative Efficacy of Ultrasound-Guided Transversalis Fascia Plane Block Versus Quadratus Lumborum Block for Postoperative Analgesia in Inguinal Hernia Repair by P Naveenkumar, Naveena Pandian, Shanu Shanmugasundaram, B. Arun Kumar, Panneerselvam Periasamy

“…The primary outcome measure was the time to first rescue analgesia post-block, with secondary outcomes including total analgesic consumption and visual analog scale scores. Statistical analysis was performed using appropriate methods, with a P value < 0.05 considered significant. …”
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Empowering multilingualism in children with autism: Insights from parents and EFL teachers by Mohamed Amr M., Shaaban Tahany S., Jmaiel Hassen Alazhar

“…Methods. The research methodology involved conducting interviews with a total of 14 participants, including parents and teachers of children with ASD. …”
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Estimation of Missing DICOM Windowing Parameters in High-Dynamic-Range Radiographs Using Deep Learning by Mateja Napravnik, Natali Bakotić, Franko Hržić, Damir Miletić, Ivan Štajduhar

“…Although histogram-based methods showed satisfactory performance, especially scaling through identifying the peaks in the pixel value histogram, deep learning-based methods were better at selectively preserving clinically relevant image areas while removing background noise.…”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The importance of early detection and monitoring of retinal diseases determines the relevance of the study devoted to the diagnosis of retinal pathologies by OCT images using artificial intelligence (AI) tools.The purpose is to develop algorithms for diagnosing retinal pathologies from OCT images by machine learning methods.Material and methods. The study used a dataset (20,000 eyes), publicly available on the Internet, which contains OCT images of healthy retina (5,000 eyes) and retina affected by three different pathologies (choroid neovascularization, macular edema, multiple drusen, 15,000 eyes). …”
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Assessing pain and analgesic consumption after the use of Kinesio tape in web strip technique comparing with cryotherapy after impacted third molar extraction: a randomized clinica... by Belal Alhourani, Mazen Zenati, Ahmad Alnada

“…Abstract Background and objectives There are various methods to improve the patient’s quality of life and alleviate complications after surgical extraction of the lower third molar. …”
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Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures by Hasan Ali Akyürek

“…Traditional classification methods rely on the manual visual interpretation of coronary angiograms. …”
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Bridging The Digital Divide: Methodological Strategies For Conducting Remote Urban Research by Sana Ahrar, Alexandra Staub

“…While extensive studies have been conducted on both analog and digital data collection methods, few have focused on adapting these approaches to include digitally marginalized groups in architecture and urban studies. …”
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All-ceramic restorations: A review of the literature by Abdulhadi Warreth, Yaser Elkareimi

“…Material and methods: The PubMed (MEDLINE) search engine was used to gather the most recent information on dental ceramics. …”
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Identification of short circuits in electronic boards using electrical impedance spectroscopy by Yves Santos Borges, Pedro Bertemes Filho

“…Traditional fault detection methods include visual inspections, automated optical inspection (AOI), in-circuit testing (ICT), and functional testing. …”
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Potential of Graphic Organizers in Developing Communicative Competence in Learning Russian as a Foreign Language by Sharofat T. Chorieva

“…The study involved 448 respondents, students of grades 9–10 of secondary comprehensive schools with the Uzbek language of instruction in the Tashkent, Namangan and Surkhandarya regions of the Republic of Uzbekistan. Methods. We used the methods of theoretical analysis of scientific literature, as well as the methods of quantitative and qualitative analysis. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…Extensive experimental results consistently show that SBCS-Net outperforms many mainstream methods in both reconstruction accuracy and visual quality. …”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

“…Its efficiency is further highlighted by reduced computation a demands compared to baseline methods. AgriCLIP’s ability to seamlessly integrate visual and contextual information not only advances prediction accuracy but also provides interpretable insights for agricultural planning and climate adaptation strategies, offering a robust and scalable solution for addressing the challenges of food security in the context of global climate change.…”
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Early osteoarthritis – current state of the art by N. G. Pravdyuk

“…Quantitative, contrast-enhanced magnetic resonance imaging methods, as well as hybrid methods are used to visualize OA at an early stage. …”
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Novel cross-dimensional coarse-fine-grained complementary network for image-text matching by Meizhen Liu, Anis Salwa Mohd Khairuddin, Khairunnisa Hasikin, Weitong Liu

“…Researchers strive to overcome the challenges by proposing numerous significant efforts directed toward narrowing the semantic gap between visual and textual modalities. However, existing methods are usually limited to computing the similarity between images (image regions) and text (text words), ignoring the semantic consistency between fine-grained matching of word regions and coarse-grained overall matching of image and text. …”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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The tactics of choice of surgical intervention in the diagnosis of space-occupying process of the fallopian tubes in women of reproductive age by M. I. Pavlyuchenko

“…Analysis of the use of modern methods of surgical treatment of space-occupying process of the fallopian tubes in women of reproductive age based on the study of anamnestic, clinical and instrumental methods of diagnosis. …”
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Designing the Forest of Tomorrow: Generating Virtual Trees with Adversarial Autoencoders by H. Hristova, C. Blattert, S. Puliti, J. Schweier

“…Employing a deep learning approach, we train models on existing 3D scanned data to produce diverse and realistic visual representations of specific tree species. Our method addresses the limitations of existing synthetic tree generation techniques, which often overlook species-specific characteristics. …”
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