Modeling Information Diffusion on Social Media: The Role of the Saturation Effect by Julia Atienza-Barthelemy, Juan C. Losada, Rosa M. Benito

“…We introduce a diffusion model that quantifies the likelihood of retweeting relative to the number of accounts a user follows. …”
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Using Spinodal Decomposition to Investigate Diffusion Enhancement and Vacancy Population by Xinren Chen, Frédéric De Geuser, Alisson Kwiatkowski da Silva, Chuanlai Liu, Eric Woods, Dirk Ponge, Baptiste Gault, Dierk Raabe

“…It allows for the assessment of diffusion enhancement and determination of vacancy supersaturation in sub‐micrometer regions. …”
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Speeding-up diffusion models for remote sensing semantic segmentation by Ruben Pascual, Christian Ayala, Ruben Sesma, Aranzazu Jurio, Daniel Paternain, Mikel Galar

“…Denoising Diffusion Probabilistic Models (DDPMs) have demonstrated exceptional potential across various generative modeling tasks. …”
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Light Field Diffusion for Single-View Novel View Synthesis by Yifeng Xiong, Haoyu Ma, Shanlin Sun, Kun Han, Hao Tang, Xiaohui Xie

“…Our approach not only involves training Image Light Field Diffusion on the ShapeNet Car dataset but also includes fine-tuning a pre-trained latent diffusion model on the Objaverse dataset, which enables our Latent Light Field Diffusion model to exhibit remarkable zero-shot generalization capabilities across out-of-distribution datasets like the Ray-traced multi-view synthetic dataset, Google Scanned Objects dataset, and in-the-wild images. …”
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Self-diffusion anomalies of an odd tracer in soft-core media by Pietro Luigi Muzzeddu, Erik Kalz, Andrea Gambassi, Abhinav Sharma, Ralf Metzler

“…The transition between the standard and reversed GCM anomaly is governed by the tracer’s oddness, with a critical oddness value at which the tracer diffuses as a free particle ( $D_\mathrm{s} \approx D_0$ ) across all densities. …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…By leveraging this strategy, the pseudo-site improves model generalization across diverse datasets while preserving data privacy. …”
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Coherent turning behaviors revealed across adherent cells by Yiyu Zhang, Xiaoyu Yu, Boyuan Zheng, Ye Xu, Qihui Fan, Fangfu Ye, Da Wei

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Non-local diffusion-based biomarkers in patients with cocaine use disorder by Alfonso Estudillo-Romero, Raffaella Migliaccio, Bénédicte Batrancourt, Pierre Jannin, John S.H. Baxter

“…Cocaine use disorder (CUD) is widely known to result in neurological reconfiguration which can be observed via local diffusivity characteristics of the brain. These changes can be highly correlated while simultaneously variable across patients with different comorbidities or histories of substance use. …”
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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. …”
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Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

“…This method was benchmarked against two diffused lighting crack detection techniques across a dataset with crack widths typically ranging from 0.07 mm to 0.4 mm. …”
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Diffusion tensor imaging biomarkers for assessing cognitive and physical function in aging by Jungsoo Lee, Woohee Han, Hyunjin Kim

“…Methods This study examines the relationship between DTI-derived metrics and cognitive and physical functions in older adults (n = 106). Four primary diffusion metrics, such as fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity, were analyzed to assess their strength of association with functional decline. …”
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Multisensor Diffusion-Driven Optical Image Translation for Large-Scale Applications by Joao Gabriel Vinholi, Marco Chini, Anis Amziane, Renato Machado, Danilo Silva, Patrick Matgen

“…Our approach super-resolves large-scale low spatial resolution images into high-resolution equivalents from disparate optical sensors, ensuring uniformity across hundreds of patches. Our contributions lie in new forward and reverse diffusion processes that address the challenges of large-scale image translation. …”
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The diffusion of French à travers from the 18th century onwards. by Thomas Hoelbeek

“…This paper investigates possible explanations for the sudden diffusion of the French expression à travers, meaning ‘(way) through/across’, from the middle of the 18th century onwards. …”
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Text to Image Generation: A Literature Review Focus on the Diffusion Model by Zhou Jingxi

“…This technology holds promise across various fields, including creative arts, gaming, and healthcare. …”
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Mathematical Modelling of the Spatial Epidemiology of COVID-19 with Different Diffusion Coefficients by Benedict Barnes, Ishmael Takyi, Bright Emmanuel Owusu, Francis Ohene Boateng, Augustine Saahene, Emmanuel Saarah Baidoo, Jennifer Aduko Adombire

“…Also, the diffusion model provided therein gives a threshold condition for the spatial spread of the COVID-19 infection in Ghana. …”
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Provincial diffusion, national acceptance: the transfer of conservation easement policy in Canada by Forrest Hisey

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Age-related changes in diffuse optical tomography sensitivity profiles in infancy. by Xiaoxue Fu, John E Richards

“…Diffuse optical tomography uses near-infrared light spectroscopy to measure changes in cerebral hemoglobin concentration. …”
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Structure Approximation-Based Preconditioning for Solving Tempered Fractional Diffusion Equations by Xuan Zhang, Chaojie Wang

“…Tempered fractional diffusion equations constitute a critical class of partial differential equations with broad applications across multiple physical domains. …”
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GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models by Junho Kim, Eunwoo Kim, Kyungjae Lee

“…It has demonstrated consistent performance across diverse datasets and model architectures, and a human evaluation confirmed that it provides superior editing quality in terms of naturalness and user preference compared to existing methods.…”
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Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection by Xingyu Zou, Kaixu Han, Xinle Zhang, Wenhao Wang, Ning Wu

“…Recent advancements in object detection, particularly with DiffusionDet, have demonstrated impressive performance. …”
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