Macroscopic Mechanical Properties and Microscopic Bonding Mechanisms of Glass Fiber-Modified Loess by Le Li, Wanjun Ye, Yang Bai, Yuntao Wu

“…Qualitative analysis of the SEM images show that with the increase in the glass fiber incorporation ratio, the fiber increasingly sutures the cracks in the soil and tightens the soil at both ends of the cracks. …”
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On the Adversarial Robustness of Decision Trees and a Symmetry Defense by Blerta Lindqvist

“…GBDTs are customarily used on non-image datasets that lack inherent symmetries, which might be why data symmetry in the context of GBDT classifiers has not received much attention. …”
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A case of sclerosing angiomatoid nodular transformation with central calcification by Eri Nakamura, MD, Yasutaka Ichikawa, MD, PhD, Kensuke Domae, MD, Yuzuna Aoki, MD, Yoichi Kozaki, MD, Miki Usui, MD, Akito Taniguchi, MD, Motonori Nagata, MD, PhD, Hajime Sakuma, MD, PhD

“…Image findings of SANT have been reported as low signal intensity on T2-weighted magnetic resonance (MR) images and a characteristic enhancement pattern on dynamic contrast-enhanced computed tomography (CT) and MR images. …”
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Development of the Export of Russian Education: Focusing on the Needs of National Labor Markets by A. О. Аver’yanov, V. A. Gurtov, D. N. Semenov, V. I. Kruglov

“…The export of Russian education contributes to the growth of external financial re[1]ceipts to the economy, facilitates overcoming the personnel shortage in the labor market and forms a positive image of Russia among the countries importing education. …”
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Mirizzi Syndrome with Cholecystobiliary Fistula: Observation of Development from Asymptomatic Cholecystolithiasis to Surgery by Hiroyuki Sugo, Yuuki Sekine, Naoki Iwanaga, Shigefumi Neshime, Michio Machida

“…Endoscopic retrograde cholangiopancreatography revealed a round filling defect at the confluence of the common bile duct and the image of the cystic duct; therefore, the patient was categorized as having Mirizzi syndrome type III, according to the Csendes classification. …”
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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

“… Objective: To verify the accuracy of deep learning models in detecting cellular alterations in histological images of oral mucosa. Material and Methods: The study compares three convolutional neural network (CNN) architectures for classifying histological images: EfficientNet-B3, MobileNet-V2, and VGG16. …”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ALOS PALSAR satellite radar image data and ground measurements were acquired, and the ISK-DPIM-InSAR deformation monitoring model with the dynamic probabilistic integral model (DPIM) was proposed by combining the probabilistic integral method (PIM) and the improved segmented Knothe time function (ISK). …”
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Engaging with patients with diabetes: the role of social media in low-income healthcare organisations by Jose Rodriguez, Shabbir Syed-Abdul, Andrea Cano, Mohy Uddin, Fernanda Caceres

“…The majority of posts were classified under the miscellaneous category and text+image feature. Recipes and food-related posts were liked and shared the most among the followers.Conclusion The results of the study found that patients’ engagement with diabetes-related content was low in social media. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. …”
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Perbandingan Perubahan Luas Luka dan Angiogenesis pada Jaringan Luka Bakar Derajat IIB Tikus Sprague Dawley yang Diberikan Platelet Rich Fibrin dan Advanced Platelet Rich Fibrin by Shantika Aqilla Kurnia, Komang Ardi Wahyuningsih

“…Burns are photographed and the area was calculated using the ImageJ application. After 14 days of therapy, the burn areas were excised and made into histological slides. …”
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Exploratory Factor Analysis on the Talent Development Environment Questionnaire (TDEQ-5) for Basketball in Indonesia by Kukuh Hardopo Putro, Suharjana Suharjana, Agus Susworo Dwi Marhaendro, Fauzi Fauzi, Danang Wicaksono, Subagyo Irianto, Trisnar Adi Prabowo

“…The results showed that KMO-MSA was p > 0.5, and Bartlett’s Test of Sphericity was p < 0.05. Furthermore, Anti-image Correlation, Communalities, and Pattern Matrix Test also exhibited p > 0.5. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…It can be either in images or in videos. Finding a correct pattern is a challenging task. …”
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Gaps in Administrative and Legal Regulation of the Liability Institution for Direct Contempt by H. P. Shust, O. S. Khovpun, O. V. Batryn

“…Cases of direct contempt’s manifestation are negative phenomenon, since they negatively affect the activities and image of the judicial system; they are demonstration of the level of trust to the judicial power; they create obstacles in the formation of confident relationship between citizens and the court; they prevent the state from fulfilling its obligations to ensure everyone’s right to a fair trial. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

“…The model integrates both Optical Coherence Tomography (OCT) images and clinical data from 181 patients, including key parameters such as serum VEGFR-2 concentration and the duration of DME. …”
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An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…Extensive experiments on three test benches (MNIST, CIFAR10, and ImageNet) demonstrate that compared with existing methods, our attack can generate adversarial examples with minor perturbations at a higher success rate. …”
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Influence of the Main Border Faults on the 3D Hydraulic Field of the Central Upper Rhine Graben by Jessica Freymark, Judith Bott, Mauro Cacace, Moritz Ziegler, Magdalena Scheck-Wenderoth

“…Instead, the different scenarios tested provide a consistent image of the main characteristics of fluid and heat transport as they have in common: (1) a topography-driven basin-wide fluid flow perpendicular to the rift axis from the graben shoulders to the rift center, (2) a N/NE-directed flow parallel to the rift axis in the center of the rift and, (3) a pronounced upflow of hot fluids along the rift central axis, where the streams from both sides of the rift merge. …”
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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

“…This includes scenarios where subjects are not directly facing the camera, words are not clearly articulated, or image cropping techniques are not used. In this study, we present a novel framework for visual speech recognition utilizing the NASNetMobile architecture. …”
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A Survey on True Random Number Generators Based on Chaos by Fei Yu, Lixiang Li, Qiang Tang, Shuo Cai, Yun Song, Quan Xu

“…Random numbers are used in many cryptographic protocols, key management, identity authentication, image encryption, and so on. True random numbers (TRNs) have better randomness and unpredictability in encryption and key than pseudorandom numbers (PRNs). …”
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Impact response and post-impact compression behavior of two-dimensional triaxially braided carbon fiber composites by SUN Yang, HUANG Jian, ZHAO Zhenqiang, ZHOU Haili, LI Chao, ZHANG Liquan, ZHANG Chao

“…The behaviors of compression after impact are studied in combination with digital image correlation. It is shown that the damaged area of the two-dimensional triaxially braided composite increases proportionally with the low velocity impact energy， but the energy absorption increases almost 2 times. …”
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Pictorial depth cues elicit the perception of tridimensionality in dogs by Anna Broseghini, Markus Stasek, Miina Lõoke, Cécile Guérineau, Lieta Marinelli, Paolo Mongillo

“…Although dogs can use and discriminate bidimensional images, to date there is no evidence of dogs’ ability to perceive tridimensionality in pictures and/or through pictorial cues. …”
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