Estimating quasi-linear diffusion coefficients for varying values of density ratio by Jay M. Albert, William J. Longley, Anthony A. Chan

“…Refinements of the original estimates are obtained and tested numerically against full calculations of the diffusion coefficients for representative wave models. …”
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Pulse‐Level Quantum Robust Control with Diffusion‐Based Reinforcement Learning by Yuanjing Zhang, Tao Shang, Chenyi Zhang, Xueyi Guo

“…The quantum pulse control problem is formulated as a conditional generative modeling task, leveraging diffusion reinforcement learning to capture unobserved system information. …”
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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

“…This paper undertakes a comprehensive and thorough review of the techniques and methodologies underpinning the generative models of the general EEG, namely the variational autoencoder (VAE), the generative adversarial network (GAN), and the diffusion model. …”
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A Generalized Multistep Dynamic (GMD) TOPMODEL by Salim Goudarzi, David Milledge, Joseph Holden

“…For wider applicability, but based on existing research and/or first principles, we developed Generalized Multistep Dynamic TOPMODEL which includes: iso‐basin spatial discretization, diffusion wave routing, depth‐dependent overland flow velocity, relaxing the assumption of water‐table parallelism to the ground surface, a power‐law hydraulic conductivity profile, new unsaturated zone flux, and a reference frame adjustment. …”
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Subdiffusion Equation with Fractional Caputo Time Derivative with Respect to Another Function in Modeling Superdiffusion by Tadeusz Kosztołowicz

“…Moreover, due to the nonlocal nature of this derivative, it is generally not possible to impose boundary conditions at a thin partially permeable membrane. …”
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Cerebral capillary oxygen diffusion: exploring the concept of intracapillary hemoglobin conformational changes by Gurgen Harutyunyan, Varsenik Harutyunyan Jaghatspanyan, Garnik Harutyunyan Jaghatspanyan, Emma Martirosyan, Artur Cherkezyan, Armen Varosyan, Suren Soghomonyan

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Improving the efficiency of adsorption filters with a short diffuser by improving their flow part by A. S. Korneeva, N. Yu. Filkin

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Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

“…The processing of brain diffusion tensor imaging (DTI) data for large cohort studies requires fully automatic pipelines to perform quality control (QC) and artifact/outlier removal procedures on the raw DTI data prior to calculation of diffusion parameters. …”
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A Fast Reconstruction Algorithm for Fluorescence Optical Diffusion Tomography Based on Preiteration by Xiaolei Song, Xiaoyun Xiong, Jing Bai

“…Simulations based on an analytical diffusion model show that the distribution of fluorescent yield can be well estimated by this algorithm and the reconstructed speed is remarkably increased.…”
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Development and correctness analysis of the mathematical model of transport and suspension sedimentation depending on bottom relief variation by A. I. Sukhinov, V. V. Sidoryakina

“…The model considers the following processes: advective transfer caused by the aquatic medium motion, micro-turbulent diffusion, and gravity sedimentation of suspended particles, as well as the bottom geometry variation caused by the particle settling or bottom sediment rising. …”
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Metallicity Mapping of the Ionized Diffuse Gas at the Milky Way Disk–Halo Interface by Bo-Eun Choi, Jessica K. Werk, Kirill Tchernyshyov, J. Xavier Prochaska, Yong Zheng, Mary E. Putman, Drummond B. Fielding, Jay Strader

“…Metals in the diffuse, ionized gas at the boundary between the Milky Way’s interstellar medium (ISM) and circumgalactic medium, known as the disk–halo interface (DHI), are valuable tracers of the feedback processes that drive the Galactic fountain. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. The feature bias problem is alleviated by constructing a dual-division teachers architecture with graph feature consistency constraints, while the cross-layer feature fusion module is utilized to dynamically aggregate multi-scale information to reduce redundancy; the diffusion distillation mechanism is designed to break through the traditional single-layer feature transfer limitation, and the global context modeling capability is enhanced by fusing deep semantics and shallow details through channel attention. …”
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A robust and effective framework for 3D scene reconstruction and high-quality rendering in nasal endoscopy surgery by Xueqin Ji, Xueqin Ji, Shuting Zhao, Shuting Zhao, Di Liu, Feng Wang, Xinrong Chen, Xinrong Chen

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Dynamical Behaviors of Impulsive Stochastic Reaction-Diffusion Neural Networks with Mixed Time Delays by Weiyuan Zhang, Junmin Li, Minglai Chen

“…The proposed model is quite general since many factors such as noise perturbations, impulsive phenomena, and mixed time delays are considered. …”
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A Method to Predict Rock Fracture with Infrared Thermography Based on Heat Diffusion Analysis by Nai-Fu Deng, Lan Qiao, Qing-wen Li, Jia-Wang Hao, Shan Wu

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Harmonisation et diffusion des ressources numériques 3D des grottes ornées by Violette Abergel, Geneviève Pinçon, Stéphane Konik, Kévin Jacquot

“…So today it has become very important to better document and formalise these resources in order to guarantee their preservation and availability, both for the general public and for experts. Consequently, the centre has recently joined forces with the UMR MAP team, specialised in models and simulations for architecture and the heritage, in the framework of a general agreements between the Ministry of Culture and the CNRS and aiming at a better characterisation of the data so far acquired, and its better diffusion. …”
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Global Well-Posedness for the d-Dimensional Magnetic Bénard Problem without Thermal Diffusion by Yinhong Cao

“…This paper focuses on the global existence of strong solutions to the magnetic Bénard problem with fractional dissipation and without thermal diffusion in ℝd with d≥3. By using the energy method and the regularization of generalized heat operators, we obtain the global regularity for this model under minimal amount dissipation.…”
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Comparison of the effectiveness of planned and «on-demand» relaparotomies in patients with secondary diffuse peritonitis (review of literature) by B. V. Sigua, V. P. Zemlyanoy, P. A. Kotkov, V. A. Ignatenko

“…There is currently no generally accepted approach to the timing and order for such interventions. …”
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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction by Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang

“…Methods The proposed method includes two modules: the diffusion generator and the u-net discriminator. The goal of the first module is to get different information from different levels, enhancing the generalization ability of the generator to the image and improving the stability of the training. …”
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Definition, characteristics and analysis of gas extraction improvement method in diffusion-dominated coal seams by Wei ZHAO, Kai WANG, Aitao ZHOU, Longyong SHU, Haifei LIN, Jie ZANG, Chao XU, Biao HU, Qingyi TU

“…In the future, it is still necessary to focus on research on diffusion mechanics models and response mechanisms, forward testing methods for diffusion coefficients, and evaluation indicators for gas extraction in diffusion-dominated coal seams. …”
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