CASES OF DIFFUSE LARGE B-CELL LYMPHOMA WITH FUNCTIONAL INTRON MUTATIONS IN THE TP53 GENE by E. N. Voropaeva, M. I. Voevoda, T. I. Pospelova, V. N. Maksimov

“…Mutations in the TP53 gene are the driver of the tumor process, serve not only as a marker of aggressive tumor progression, but also as an independent predictor of reduced sensitivity to treatment. the presented clinical cases show that an in-depth analysis of the results of the TP53 sequencing in tumors and functional assessment of all detected changes, including changes in the introns of the gene and involving in silico analysis techniques, are necessary.…”
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KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…Diffusion models, known for their stable training process and exceptional image generation capabilities, have shown good application potential in this field. …”
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Geometrically insensitive deform-and-go liquid crystal elastomer actuators through controlled radical diffusion by Xiaorui Zhou, Yi Sheng, Guancong Chen, Hong Wan, Luping Lu, Hao Xing, Jiacheng Huang, Zhan Zhu, Yufei Wang, Hanyuan Bao, Jingjun Wu, Qian Zhao, Tao Xie, Ning Zheng

“…Our findings show that LCEs can be deformed into complex structures via soft-elasticity and achieve the required mesogen alignment by simply soaking the LCE in an aqueous solvent of a free-radical initiator. The process requires no external assistance (maintained force, fixture, heating, or light) and the omnidirectional radicals’ diffusion enables precise implementation of actuation across arbitrary geometries, including those produced through 3D printing, molding, embossing, and origami techniques. …”
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Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution by Jialu Sui, Xianping Ma, Xiaokang Zhang, Man-On Pun, Hao Wu

“…Specifically, a novel adaptive diffusion transformer decoder is developed to bridge the semantic gap between the encoder and decoder by regulating the noise prediction with the global contextual relationships and long-range dependencies in the diffusion process. …”
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Materials for Gas-Thermal Spraying, Obtained by Diffusion Alloying from Powders Based on Austenitic Steels by F. I. Panteleenko, V. A. Okovity, A. F. Panteleenko

“…Significant changes in phase composition, as well as the chemical one, are noticeable in diffusion processing of the following alloyed powder materials: РR-Х18N9, РR-Х18N10, РR-Х18N15. …”
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High Quality Dynamic Occlusion Computational Ghost Imaging Guided Through Conditional Diffusion Model by Minze Liang, Enkui Zhang, Xinyi Zheng, Huixing Yang, Liyu Zhang, Xuan Liu, Yongli Zhang

“…By embedding the CGI process as an imaging layer into the network in a conditional input manner, an Ada-ResBlock module is proposed to replace the ResBlock of the traditional U-Net, and the time step <inline-formula><tex-math notation="LaTeX">${\bm{t}}$</tex-math></inline-formula> of the diffusion model is embedded in the normalization of the Ada-ResBlock using the Deep-emb method, which improves the accuracy of the noise prediction. …”
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Study on induced mechanism of slurry splitting deviation and diffusion in long hole grouting near faults by Lianchong LI, Xinrui LI, Wenqiang MU, Yunchun HAN, Yongshu ZHANG

“…However, due to the heterogeneity of floor lithology and the complexity of geological structures such as faults and fractures, problems such as slurry leakage, seepage, and local undergrouting often occur during the grouting process, seriously affecting the grouting effect and the reliability of waterproof reinforcement. …”
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Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

“…Although generative adversarial networks can reconstruct fine details, their training process is relatively challenging. Recently, diffusion-based generative models have effectively improved the visual quality of reconstructed images through the iterative reverse diffusion mechanism. …”
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Occurrence Characteristics of Early Rice Heat Disaster in Jiangxi Province by Yang Jianying, Huo Zhiguo, Wang Peijuan, Wu Dingrong

“…It is of great merit to explore the rice heat-lead characteristics of hot weather processes, and highlight the particular period severely hit by rice heat to provide support for rice heat monitoring, prevention, and mitigation. …”
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THE STUDY OF REGULARITIES OF THE DIFFUSION OF CARBON IN THE SURFACE LAYER OF STEEL 12KH18N10T by I. R. Kuzeyev, S. V. Popova, A. N. Vasiliev

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SCIENCE OF MATERIALS AND TECHNOLOGICAL ASPECTS OF PRODUCTION OF HEAT-TREATABLE LAYERS OF DIFFUSED-ALLOYED W IRE by V. G. Dashkevich

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The Application of Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging in the Diagnosis and Therapy of Acute Cerebral Infarction by Ying Han, Enzhong Li, Jie Tian, Jian Chen, Huifang Wang, Jianping Dai

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Existence and Uniqueness of Weak Solutions for Novel Anisotropic Nonlinear Diffusion Equations Related to Image Analysis by Anas Tiarimti Alaoui, Mostafa Jourhmane

“…This paper establishes the existence and uniqueness of weak solutions for the initial-boundary value problem of anisotropic nonlinear diffusion partial differential equations related to image processing and analysis. …”
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Preliminary Study of Airfoil Design Synthesis Using a Conditional Diffusion Model and Smoothing Method by Kazuo Yonekura, Yuta Oshima, Masaatsu Aichi

“…Generative models such as generative adversarial networks and variational autoencoders are widely used for design synthesis. A diffusion model is another generative model that outperforms GANs and VAEs in image processing. …”
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Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion by Zhuo Han, Yongquan Chen

“…It includes dataset processing, model training, model testing and generation. …”
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$$\texttt {DiffER}$$ DiffER : categorical diffusion ensembles for single-step chemical retrosynthesis by Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy

“…Abstract Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through transformer neural networks. …”
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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

“…The proposed model encodes infrared images to extract semantic features, which are then processed through an PV array detection branch and a hotspot detection branch. …”
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Response mechanism of methane non-premixed diffusion flame under the influence of an applied magnetic field by Yaqing Li, Haochen Li, Jun Deng, Yutao Zhang, Chi-Min Shu, Qiang Guo, Bo Che

“…To explore the influence of an applied magnetic field on non-premixed diffusion flames, a methane non-premixed diffusion flame combustion system was constructed. …”
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MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

“…Despite significant advances, existing methods struggle with three fundamental challenges: 1) difficulty in simultaneously preserving structural details while reducing noise, 2) limited generalization across diverse lighting conditions and scene types, and 3) computational inefficiency when processing complex natural scenes. While recent diffusion-based methods have shown promise, they often struggle with generalization and require paired training data. …”
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Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries by Hoang B Nguyen, Thanh L Phan, Thi T Ung, Thi KL Nguyen

“…The measurements closely aligned with those of the technicians in 89.54% of the cases. The system processed up to 50 images per hour, supporting reliable and rapid AST workflow. …”
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