Numerical Investigation of a Supersonic Wind Tunnel Diffuser Optimization by Riccardo Nicoletti, Francesco Margani, Luca Armani, Antonella Ingenito, Chihiro Fujio, Hideaki Ogawa, Seoeum Han, Bok Jik Lee

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Review of the Diffusion Process, Explosion Mechanism, and Detection Technology of Hydrogen and Ammonia by Zilong Zhang, Zhaotong Zhang, Yuqi Zhou, Yujie Ouyang, Jiangtao Sun, Jing Zhang, Bin Li, Dan Zhang, Yongxu Wang, Jian Yao, Huadao Xing, Lifeng Xie

“…Hydrogen and ammonia, as leaders in clean energy technologies, have garnered significant global attention. The combination of hydrogen and ammonia has emerged as a novel form of energy storage, transportation, and conversion; however, the safety aspects of their application process warrant closer attention. …”
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Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases by Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav, Abolfazl Mehbodniya

“…At the same time, it includes the capacity of the ViT model to recognize the context of images of the GI tract for the detection of slight disease patterns and precursors of disease diffusion. Furthermore, we designed a dual-block in which input is divided into two parts (q1, q2) to better optimize the model q1 processed through an EfficientNet for local details and a q2 through encoder block for capturing the global dependencies, which enables EfficientViT to pay attention to multiple image regions simultaneously. …”
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Multimodal diffusion framework for collaborative text image audio generation and applications by Junhua Wang, Ouya Zhang, Yuan Jiang

“…Abstract This paper presents a novel framework for collaborative generation across text, image, and audio modalities using an enhanced diffusion model architecture. We introduce a Hierarchical Cross-modal Alignment Network that establishes unified representations while preserving modality-specific characteristics, and a Cross-modal Conditional Diffusion Model that enables flexible generation pathways through innovative conditional embedding and attention-guided mechanisms. …”
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CaloDREAM – Detector response emulation via attentive flow matching by Luigi Favaro, Ayodele Ore, Sofia Palacios Schweitzer, Tilman Plehn

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Inflammatory targeted nanoplatform incorporated with antioxidative nano iron oxide to attenuate ulcerative colitis progression by Haojun Chen, Wei Sun, Can Li, Qiuyang Wang, Xucai Wang, Yingjie Du, Wenbo Chen, Min Wang, Caoxing Huang, Rong Wang

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Identification of the Aeroacoustic Emission Source Regions Within a Ceiling Swirl Diffuser by Philipp Ostmann, Martin Kremer, Dirk Müller

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Menstrual cycle inspired latent diffusion model for image augmentation in energy production by Gamal M. Mahmoud, Mostafa Elbaz, Wael Said, Amira A. Elsonbaty

“…This paper introduces menstrual cycle-inspired latent diffusion model (MCI-LDM), a novel framework that addresses these challenges with three key modifications. …”
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Advancing Persistent Character Generation: Comparative Analysis of Fine-Tuning Techniques for Diffusion Models by Luca Martini, Saverio Iacono, Daniele Zolezzi, Gianni Viardo Vercelli

“…It excels in low VRAM contexts due to its targeted fine-tuning of low-rank matrices within cross-attention layers, enabling faster training and efficient parameter tweaking. …”
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Modeling Homogeneous, Stratified, and Diffusion Combustion in Hydrogen SI Engines Using the Wiebe Approach by Oleksandr Osetrov, Rainer Haas

“…This study further develops the model by accounting for the combined influence of the mixture composition and engine speed, mixture stratification, and the effects of injection and ignition parameters on premixed and diffusion combustion. Special attention is given to combustion modeling in an engine with single injection and jet-guided operation.…”
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SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

“…A compressed Unet-based diffusion model, pre-trained on the LAION-5B dataset, serves as the foundation for efficient text-to-image synthesis. …”
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Denoising diffusion probabilistic models for addressing data limitations in chest X-ray classification by Evi M.C. Huijben, Josien P.W. Pluim, Maureen A.J.M. van Eijnatten

“…To address these challenges, there has been a growing interest in the use of deep generative models to create synthetic training data, with denoising diffusion probabilistic models (DDPMs) recently gaining attention for their ability to produce realistic and high-quality images. …”
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SGM-EMA: Speech Enhancement Method Score-Based Diffusion Model and EMA Mechanism by Yuezhou Wu, Zhiri Li, Hua Huang

“…This paper proposes a U-Net architecture using a score-based diffusion model and an efficient multi-scale attention mechanism (EMA) for the speech enhancement task. …”
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Swin-Diff: a single defocus image deblurring network based on diffusion model by Hanyan Liang, Shuyao Chai, Xixuan Zhao, Jiangming Kan

“…Our results validate the effectiveness of combining diffusion models with hierarchical attention mechanisms for high-quality defocus blur removal.…”
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Contour wavelet diffusion – a fast and high-quality facial expression generation model by Chenwei Xu, Yuntao Zou

“…To address these limitations, we propose a contour wavelet diffusion model that accelerates both training and inference speeds. …”
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Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion by Hongkan Chen, Jinchang Liu, Win-bin Huang, Yi Bu

“…The diffusion process is driven by both viral and broadcasting adopters, with the former facilitating early-stage dissemination, although a “damping” effect emerges as dissemination efficiency gradually declines. …”
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Dynamically Tunable Multidimensional Feature Focusing and Diffusion Networks for Water Surface Debris Detection by Chong Zhang, Jie Yue, Jianglong Fu

“…Furthermore, a Focal-Diffuse Feature Pyramid Network (FD-FPN) was introduced to accurately capture and integrate key feature information through focused feature fusion techniques while utilizing cross-scale diffusion analysis to efficiently transfer and enhance feature information across different scales. …”
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Early intervention anti-Aβ immunotherapy attenuates microglial activation without inducing exhaustion at residual plaques by Lis de Weerd, Selina Hummel, Stephan A. Müller, Iñaki Paris, Thomas Sandmann, Marie Eichholtz, Robin Gröger, Amelie L. Englert, Stephan Wagner, Connie Ha, Sonnet S. Davis, Valerie Warkins, Dan Xia, Brigitte Nuscher, Anna Berghofer, Marvin Reich, Astrid F. Feiten, Kai Schlepckow, Michael Willem, Stefan F. Lichtenthaler, Joseph W. Lewcock, Kathryn M. Monroe, Matthias Brendel, Christian Haass

“…Long-term treatment with anti-Aβ results in a robust and dose-dependent lowering of amyloid plaque pathology, with a higher efficiency for reducing diffuse over dense-core plaque deposition. …”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Beginning with Sobel and Canny’s kernel-based approaches, we trace the shift to data-driven CNNs like Holistically Nested Edge Detection (HED) and Bidirectional Cascade Network (BDCN), which leverage multi-scale supervision and achieve ODS (Optimal Dataset Scale) scores 0.788 and 0.806, respectively. Attention mechanisms, as in EdgeNAT (ODS 0.860) and RankED (ODS 0.824), enhance global context, while generative models like GED (ODS 0.870) achieve state-of-the-art precision via diffusion and GAN frameworks. …”
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A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…Surface defect detection is crucial to industrial manufacturing and research for surface defects has drawn much attention. However, defects in industrial environment are very diverse. …”
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