Convolutional neural network for maxillary sinus segmentation based on the U-Net architecture at different planes in the Chinese population: a semantic segmentation study by Jiayi Chen

“…The marked regions (maxillary sinus) were labelled for training and testing in the original images. The training process was performed for 40 epochs using a learning rate of 0.00001. …”
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Evaluation Of Life Quality In Colorectal Cancer Patients by Gülşah Kayserilioğlu, Dilek Aygin

“…The diagnostic period of cancer, the treatment process and the complications caused by the treatments negatively affect the quality of life of the patients and his relatives who support his care. …”
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Casa a Lottano, Il Suono by Emanuele Scaramellini

“…Drawing on Valerio Olgiati’s request to his most illustrious colleagues to point out the images that materialised in their minds before beginning the design process, this article explores this journey from the point of view of sound. …”
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Structural Colors Go Active by Xinting Li, Jiancun Zhao, Junyi Yang, Yihui Huo, Yiting Yu

“…Abstract Structural colors find wide applications for color printing, intelligent display, filtering imaging, etc., owing to their benefits, including high resolution, stable properties, and dynamic tunability. …”
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A New Superabsorbent Polymer Derived from Acrylamide and Fine Coal by Mohammad Khotib, Zainal Alim Mas'ud, Nurul Eriza, Ian Subastiar, M Fikry Nasrudin

“…The fine coal was a by-product of the mechanical coal processing used at the coal mine, that can be converted to added value materials. …”
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Long-propagating ghost phonon polaritons enabled by selective mode excitation by Manuka Suriyage, Qingyi Zhou, Hao Qin, Xueqian Sun, Zhuoyuan Lu, Stefan A. Maier, Zongfu Yu, Yuerui Lu

“…Overall, by combining g-HP theory with structural engineering, our work has further developed the potential of such anisotropic materials, enabling unexpected control over g-HPs, thus opening opportunities for various applications in mid-IR optoelectronics.…”
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Calibration and optimization of discrete element method parameter of Pinus koraiensis seeds by Chun Wang, Zhizheng Hu, Xiangyu Liu, Hailin Kui, Yongchao Shao

“…The development of food processing equipment for Pinus koraiensis seeds has been limited by insufficient data on physical and contact properties. …”
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Organobentonite fabrication assisted by surfactant octadecylamine intercalation under hydrothermal/solvothermal condition for effective direct yellow dye removal by Yusuf Mathiinul Hakim, Mardiyanto, Idha Royani, Risfidian Mohadi

“…In addition, the adsorption processes on direct yellow are mainly characterized by the pseudo-first-order kinetic and Langmuir isotherm models. …”
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SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis by Nedim Hacıosmanoğlu, Murat Alp Güngen, Eylul Gulsen Yilmaz, Emre Ece, Alphan Uzun, Arda Taşcan, Burak M. Görmüş, Ismail Eş, Fatih Inci

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PERFUSION COMPUTED TOMOGRAPHY IN DETERMINING THE NATURE OF FOCAL PULMONARY LESIONS: CLINICAL AND STATISTIC ANALYSIS by N. I. Sergeev, T. R. Izmailov, P. M. Kotlyarov, I. D. Lagкueva, V. A. Solodky

“…Advances in diagnostic imaging techniques have made it possible to measure a large number of blood flow parameters of pathological processes, and one of these techniques is perfusion computed tomography (PCT). …”
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Rapid Automated Target Segmentation and Tracking on 4D Data without Initial Contours by Venkata V. Chebrolu, Daniel Saenz, Dinesh Tewatia, William A. Sethares, George Cannon, Bhudatt R. Paliwal

“…To achieve rapid automated delineation of gross target volume (GTV) and to quantify changes in volume/position of the target for radiotherapy planning using four-dimensional (4D) CT. Methods and Materials. Novel morphological processing and successive localization (MPSL) algorithms were designed and implemented for achieving autosegmentation. …”
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Emerging Applications of Machine Learning in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Marcin Kempiński, Krzysztof Galas, Adrianna Piszcz

“…Recent advances in 3D printing enable scientists and engineers to create models with precisely controlled and complex microarchitecture, shapes, and surface finishes, including multi-material printing. The incorporation of artificial intelligence (AI) at various stages of 3D printing has made it possible to reconstruct objects from images (including, for example, medical images), select and optimize materials and the printing process, and monitor the lifecycle of products. …”
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Tri-objective parallel machine with job splitting and sequence dependent setup times using differential evolution and particle swarm optimization by Warisa Wisittipanich, Nuttachat Wisittipanit

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Metaheuristic Prediction Models for Kerf Deviation in Nd-YAG Laser Cutting of AlZnMgCu1.5 Alloy by Arulvalavan Tamilarasan, Devaraj Rajamani

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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper also addresses challenges associated with the use of unmanned aerial vehicles, such as data quality limitations, the complexity of processing large volumes of images, and the need for the development of more advanced models. …”
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Legitimation of University in Modern Culture by M. A. Vasilyeva, O. V. Bezzubova

“…The authors adduce as examples modern universities’ websites with the visual images that are presented on their title pages. Based on this material, the authors draw a conclusion about the main modern strategies of self-legitimation of the university as positioning on the scales: tradition and innovation, loyalty to the government and independence from it, history and community.…”
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Freeze–thaw recycling for fiber–resin separation in retired wind blades by Khalil Ahmed, Xu Jiang, Ghazala Ashraf, Xuhong Qiang

“…Microscopic imaging and weight analysis revealed visible interface separation, with three-dimensional imaging showing a ~ 65% increase in crack volume and a ~ 32% rise in connected porosity after freeze–thaw treatment. …”
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The Effect of Limited Proteolysis by Trypsin on the Formation of Soy Protein Isolate Nanofibrils by Di An, Liang Li

“…Microscopic images demonstrated the formation of two nanofibrils. …”
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Folklore Fairy Tale in the First “Russian” Ballet of S. Diaghilev’s Entreprise by Svetlana P. Sorokina

“…The article shows how the plot of the ballet was built, how the images of fairy tales were processed. Since Diaghilev positioned “The Firebird” as the first proper Russian ballet, it turns out what meaning the creators of the performance put into this concept, what they saw as the “Russianness” of a folk tale. …”
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Latvia and Estonia: The Soviet Period of Economic Development by Renald H. Simonyan

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