Quantitative evaluation of grooves in fuel ice layers of ICF based on deep learning and x-ray phase retrieval by Kaijun Shi, Kai Wang, Xin Wang, Ji Yan, Baolu Yang, Cheng Yang, Mingtao Li, Mingxun Wang, Jie Xu, Fei Dai, Xing Zhang, Zhanshan Wang, Baozhong Mu

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A voxel-based morphometric study of age- and sex-related changes in white matter volume in the normal aging brain by Liu H, Wang L, Geng Z, Zhu Q, Song Z, Chang R, Lv H

“…Structural images were processed using VBM8 and statistical parametric mapping 8. …”
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Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma by Xingwang Gao, Xingwang Gao, Xingwang Gao, Yinglin Peng, Shanfu Lu, Yuhan An, Meining Chen, Jun Zhang, Runda Huang, Yiran Wang, Zhenyu Qi, Yao Lu, Chong Zhao, Xiaowu Deng, Jingjing Miao, Yimei Liu

“…We aimed to utilize deep learning techniques in combination with multi-sequence magnetic resonance imaging (MRI) radiomics and dosiomics to predict the risk of nasopharyngeal necrosis in patients with recurrent nasopharyngeal carcinoma undergoing re-irradiation therapy.Materials and methods117 patients with rNPC were included, comprising pre-treatment multi-sequence MR images (including T1, T1C, and T2 sequences) and a planned re-irradiation therapy dose distribution. …”
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EXPERIENCE OF USING THE PERPLEXITY AI-POWERED ANSWERING SYSTEM FOR EDUCA- TIONAL CONTENT GENERATION by Kateryna Osadcha, Maryna Osadcha

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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…However, achieving consistent part quality and desired material properties is challenging due to intricate processing parameters and potential process defects such as dynamic melt-pool behavior and localized heat accumulation. …”
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Effect of Chewing Hardness on Cognitive-Associated Brain Regions Activation by Hansol Lee, Ji-Hye Kim, Seungho Kim, Sung Ho Jang, Yongmin Chang, Youn-Hee Choi

“…Methods: A total of 52 healthy young adults (average age of 21.81 years; 24 men and 28 women) underwent fMRI scanning, during which 27 individuals chewed soft and 25 individual chewed hard material. The functional magnetic resonance imaging (fMRI) was employed to elucidate the overlapping and distinct patterns of activated brain regions associated with soft- and hard-chewing conditions. …”
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POSITIVE CHANGES AND INACCURACIES IN THE UKRAINIAN 2019 SPELLING by Kateryna S. Bondarchuk, Olha A. Chumachenko

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A FUSED PET/MRI IN A PLANNING AND PERFORMING STEREOTACTIC OPERATIONS IN BRAIN TUMORS by A. I. Kholyavin, V. B. Nizkovolos, A. F. Gurchin, T. Yu. Skvortsova

“…Objective – study of the diagnostic capabilities of MRI and PET/CT scanners and the available user programs for processing DICOM-images in the implementation of the preoperative planning of stereotactic interventions in patients with deep cerebral gliomas in terms of fusion the scans of a brain.Material and methods. 35 stereotactic surgeries (biopsies and treatment cryoablations) were preplanned and then conducted in patients with brain deep-seated tumors. …”
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Additive Manufacturing of Binary and Ternary Oxide Systems Using Two-Photon Polymerization and Low-Temperature Sintering by Halima El Aadad, Hicham El Hamzaoui, Yves Quiquempois, Marc Douay

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Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism by Long Chen, Zhiyuan Qu, Yao Zhang, Jingyang Liu, Ruwen Wang, Dezheng Zhang

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First experience of implantation of a new-generation bioresorbable stent in a young patient with coronary artery disease: a case report by D. K. Vasiliev, N. A. Arablinsky, F. B. Shukurov, D. A. Feshchenko, M. T. Taliuridze, А. S. Shanoyan

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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

“…We intend to elucidate the challenges and limitations of previous models in order to produce a generalizable model across different subjects using advanced deep learning methods. Materials and Methods: We've designed a new deep learning model based on transformers for processing fMRI data. …”
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Surface-based morphometry of the cerebral cortex in cognitive impairments of varying severity in patients with age-related cerebral small vessel disease by Elena I. Kremneva, Larisa A. Dobrynina, Kamila V. Shamtieva, Victoria V. Trubitsyna, Zukhra S. Gadzhieva, Angelina G. Makarova, Maria M. Tsypushtanova, Marina V. Krotenkova

“…The assessment included the analysis of signs of cerebral small vessel disease based on the results of magnetic resonance imaging with the computation of general cerebral small vessel disease index and processing T1 multiplanar reconstruction images by surface-based morphometry to quantify general and regional brain parameters, including the thickness of the cerebral cortex. …”
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The role of cardiac MRI in risk stratification for sudden cardiac death in patients with hypertrophic cardiomyopathy by M. S. Ishchenko, K. V. Rudenko, V. V. Lazoryshynets, Yu. I. Vitkovskyi, M. O. Tregubova, P. A. Danchenko

“…Statistical and mathematical data processing was performed by using the Statistica 6.0 (StatSoft Inc., USA) application package. …”
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Turning Waste into Treasure: Functionalized Biomass‐Derived Carbon Dots for Superselective Visualization and Eradication of Gram‐Positive Bacteria by Ke‐Fei Xu, Zihao Wang, Macheng Cui, Yuhan Jiang, Chengcheng Li, Zi‐Xi Wang, Ling‐Yi Li, Chenyang Jia, Lijie Zhang, Fu‐Gen Wu

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3D-modeling Capabilities in Assessing Resectability of Pancreatic Head Tumors by A. S. Kudashkina, I. G. Kamyshanskaya, K. V. Pavelets, D. S. Rusanov, S. А. Kalyuzhnyy

“…Despite the successes of modern diagnostics and surgical treatment, the problem of early detection, staging of oncologic process and, as a consequence, combined treatment of pancreatic head cancer remains actual.Objective: increasing the accuracy of diagnostics and estimation of resectability of the pancreatic head cancer on the basis of the complex use of the radiation methods of investigation with pancreaticoduodenal zone 3D-reconstructions.Material and methods. …”
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Spatial transcriptomic and morpho-functional information derived from single mouse FFPE slides allows in-depth fingerprinting of lung fibrosis by Erica Ferrini, Costanza Bonfini, Giovanna Marchese, Martina Buccardi, Matteo Zoboli, Primetta Faccioli, Nicola Sverzellati, Gino Villetti, Simone Ottonello, Maria Ravo, Franco F. Stellari

“…Abstract Background Transcriptome profiling by RNA sequencing (RNAseq) can provide insightful information on the molecular processes underlying disease development and progression. …”
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NIR‐II AIEgens for High‐Contrast Intravital Fluorescence Angiography: Recent Advances and Prospects by Zhijun Zhang, Xue Li, Hao Yang, Caifa You, Kui Ren, Zengming Yang, Miaomiao Kang, Dong Wang, Ben Zhong Tang

“…ABSTRACT The vasculature, as the essential biological network for oxygen and nutrients delivery and the dynamic regulatory center for physiological processes, is fundamentally important for maintaining human health and life quality. …”
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Perfusion Computed Tomography in the Diagnosis of Colonic Diverticular Disease and its Complications by M. V. Timerbulatov, A. F. Itkulov, D. E. Baikov, A. A. Ibatullin, M. M. Khafizov

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Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

“…Conventionally, target detection in remote sensing has relied on statistical methods that typically assume a linear process for image formation. However, to enhance detection performance, it is critical to account for the geometric and spectral variabilities across multiple imaging platforms. …”
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