Diffusion models enable zero-shot pose estimation for lower-limb prosthetic users. by Tianxun Zhou, Muhammad Nur Shahril Iskandar, Keng-Hwee Chiam

“…This study proposes a zero-shot method leveraging generative diffusion models to transform prosthetic limb images into able-bodied representations that standard pose estimation models can detect, eliminating the need for additional data collection or model retraining. …”
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Characteristics and predictive model for diffuse large B-cell lymphoma with early chemoimmunotherapy failure by Ying-Yu Dong, Qing Shi, Wen Wu, Bing-Bing Zhao, Di Fu, Peng-Peng Xu, Shu Cheng, Guilhem Bousquet, Guilhem Bousquet, Guilhem Bousquet, Wei-Li Zhao, Wei-Li Zhao, Li Wang, Li Wang

“…IntroductionThe outcomes of refractory or relapsed diffuse large B-cell lymphoma are generally poor, especially those relapsed or progressed within 12 months from diagnosis named as early chemoimmunotherapy failure (ECF), with a 2-year OS of 24.7%. …”
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SGM-EMA: Speech Enhancement Method Score-Based Diffusion Model and EMA Mechanism by Yuezhou Wu, Zhiri Li, Hua Huang

“…Especially when processing out-of-dataset noisy speech, the proposed method achieved excellent speech enhancement results compared to other methods, demonstrating the model’s strong generalization capability. We also conducted an ablation study on the SDE solver and the EMA mechanism, and the results show that the reverse diffusion method outperformed the Euler–Maruyama method, and the EMA strategy could improve the model performance. …”
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Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising by Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai

“…This study presents a robust and scalable driver drowsiness detection framework that integrates a Swin Transformer-based deep learning model with a diffusion model for image denoising. …”
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Modeling Diffusion Interaction in the bi-Phase Systems with Using Different Types of the Effective Kinetic Coefficients by L.I. Gladka, Yu.O. Lyashenko

“…The analysis of basic and combined models for calculation of effective kinetic coefficients required to describe diffusion processes in two-phase heterogeneous environments is conducted. …”
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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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Information Dissemination Model Based on Social Networks Characteristics by Jianwei Ding, Zehan Li, Xia Wu, Rong Liu, Hangyu Hu

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On Modeling Agent Behavior Change Through Multi-Typed Information Diffusion in Online Social Networks by Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

“…The toilet paper shortage in Japan in 2020 caused by people’s selfish behavior owing to the diffusion of information to correct misinformation, which is considered a general phenomenon based on three sociological characteristics: a collective action problem, a self-fulfilling prophecy, and pluralistic ignorance. …”
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Diffusion tractography of kidney by high angular resolution diffusion imaging by Surendra Maharjan, Jie Chen, Adrienne Gaughan, Neal X. Chen, Nian Wang

“…The study employed diffusion tensor imaging (DTI) and generalized Q-sampling imaging (GQI) to examine the tubular orientation distributions and tractography, validated by conventional histology. …”
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Label-free determination of diffusion coefficients at the nanoscale through modelling of the Surface Plasmon Resonance signal. by Gabriele Antonio Zingale, Irene Pandino, Damiano Calcagno, Maria Luisa Perina, Nunzio Tuccitto, Giuseppe Grasso

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Global Bifurcation in a General Leslie Type Predator–Prey System with Prey Taxis by Lei Kong, Fengjiao Lv

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Additive operator splitting scheme for a general mean curvature flow and application in edges enhancement by Rafaa Chouder, Noureddine Benhamidouche

“…In this paper, we explore a general model of mean curvature flow, as proposed in [4, 5]. …”
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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

“…This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

“…This work also introduces a general framework for diffusion model based posterior sampling, Bayesian Inverse Problem Solvers through Diffusion Annealing (BIPSDA). …”
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Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization, and Resilience to Adversarial Attacks by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…However, deepfakes can also depict real or entirely fictitious individuals, leveraging state-of-the-art techniques such as generative adversarial networks (GANs) and emerging diffusion-based models. Existing detection methods face challenges with generalization across datasets and vulnerability to adversarial attacks. …”
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Deep Ocean Ventilation: A Comparison Between a General Circulation Model and Data‐Constrained Inverse Models by Bruno Millet, Casimir de Lavergne, William R. Gray, Christian Éthé, Gurvan Madec, Mark Holzer, Tim DeVries, Geoffrey Gebbie, Didier M. Roche

“…This study provides a synoptic picture of deep ocean ventilation and a framework for assessing its representation in general circulation models.…”
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Application of Shannon Entropy to Reaction–Diffusion Problems Using the Stochastic Finite Difference Method by Marcin Kamiński, Rafał Leszek Ossowski

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Classical Z_{2} spin liquid on the generalized four-color Kitaev model by Han Yan (闫寒), Rico Pohle

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The Social Dimension of Internet Diffusion in Romania: Examining the Connection between Internet Uses and Frequencies by Geomina Ţurlea, Esteve Ollé Sanz, Constantin Ciupagea

“…The authors then propose a general access equation looking at a large number of usual access factors. …”
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Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection by Sitian Liu, Chunli Zhu, Lintao Peng, Xinyue Su, Lianjie Li, Guanghui Wen

“…In addition, a negative log-likelihood noise loss is introduced to model uncertainty. Extensive experiments on six public and two real-world UAV datasets demonstrate that WDHAD achieves robust generalization and cross-domain adaptability. …”
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