Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…Abstract Biosimilar artificial mucus models that mimic native mucus facilitate efficient, lab-based drug diffusion studies, addressing the costly and challenging preclinical phase of drug development, especially for nano- and micro-scale particle-based colonic drug delivery. …”
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Hydroisomerization of n-dodecane on ZSM-48 with acid distribution modulation for high diffusion performance by Wei Zhang, Jiangnan Xiang, Yuting Wang, Mengxi Ma, Yan Wang, Bo Qin, Weijiong Dai, Binbin Fan, Jiajun Zheng, Ruifeng Li

“…Shortening the distribution depth of acid sites in the micropores does not significantly change the product distribution of n-dodecane monomethyl isomers but markedly suppresses the cracking reaction due to reduced diffusion limitation of olefinic intermediates. This enables efficient and selective hydroisomerization of long-chain n-alkanes.…”
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Deep-learning based morphological segmentation of canine diffuse large B-cell lymphoma by Kenneth Ancheta, Androniki Psifidi, Andrew D. Yale, Sophie Le Calvez, Jonathan Williams

“…Diffuse large B-cell lymphoma is the most common type of non-Hodgkin lymphoma (NHL) in humans, accounting for about 30–40% of NHL cases worldwide. …”
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Study on diffusion patterns of multi-component systems in porous media of carbonate gas storage by ZHANG Ruihan, HU Bo, PENG Xian, ZHANG Fei, WANG Yongchao, ZHAO Yulong

“…Gas storage, as a crucial component of the national energy reserve system, can effectively mitigate risks from fluctuations in international natural gas market prices and supply disruptions, ensuring stable gas supply for residential and industrial use, thereby serving as a robust safeguard for national energy security. For the safe and efficient operation of gas storage under multi-component, multi-cycle injection, and production conditions, accurately understanding the diffusion and flow patterns of mixed gases—working gas and cushion gas—in gas storage is essential. …”
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TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection by Rijun Wang, Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Xiangwei Mou, Guanghao Zhang, Hao Jin

“…The model utilizes a multi-scale focus-diffusion network (MSFDNet) alongside an efficient parallel multi-scale convolutional module (EPMSC) to significantly enhance the extraction of multi-scale features. …”
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Neural substrates of neuropsychological profiles in dystrophynopathies: A pilot study of diffusion tractography imaging. by Laura Biagi, Sara Lenzi, Emilio Cipriano, Simona Fiori, Paolo Bosco, Paola Cristofani, Guia Astrea, Antonella Pini, Giovanni Cioni, Eugenio Mercuri, Michela Tosetti, Roberta Battini

“…They were assessed using a neuropsychological assessment protocol including cognitive and executive functioning assessment and performed a 1.5T MRI brain exam including advance Diffusion Weighted Imaging (DWI) method for tractography. …”
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AI-Assisted Restoration of Yangshao Painted Pottery Using LoRA and Stable Diffusion by Xinyi Zhang

“…Conventional restoration techniques encounter difficulties in accurately and efficiently reconstructing intricate designs. To address this issue, the study proposes an AI-assisted restoration workflow that combines Stable Diffusion models (SD) with Low-Rank Adaptation (LoRA) technology. …”
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Flooding-resistant gas diffusion electrode design for MEA-type CO2 electrolyzer by Youngjin Doh, Junwon Oh, Sengwoo Kim, Wonhee Lee, Ki Tae Park

“…This GDE demonstrates higher CO current density (jCO) and lower cell voltage, maintaining excellent stability with a high CO Faradaic efficiency (FECO) of 88.4 % over 50 h of continuous operation. …”
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Multi-Seasonal Risk Assessment of Hydrogen Leakage, Diffusion, and Explosion in Hydrogen Refueling Station by Yaling Liu, Yao Zeng, Guanxi Zhao, Huarong Hou, Yangfan Song, Bin Ding

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Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm by Amjad Alloush, Ghaida Rebdawi, Mohammad Saeed Abou Trab

“…The proposed algorithm outperforms other baseline methods in terms of accuracy and efficiency in predicting information diffusion.…”
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LMI Approach to Stability Analysis of Cohen-Grossberg Neural Networks with p-Laplace Diffusion by Xiongrui Wang, Ruofeng Rao, Shouming Zhong

“…And it is worth mentioning that even if p=2, the new criterion improves some recent ones due to computational efficiency. In addition, the resulting criterion has advantages over some previous ones in that both the impulsive assumption and diffusion simulation are more natural than those of some recent literatures.…”
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Advances in the Application of Simulation Methods for NaCl Diffusion during Salting of Aquatic Products by YANG Kun, WU Runlin, LI Qiqi, LI Kaiqi, XIONG Shanbai, LIU Ru

“…Consequently, in order to improve the salting efficiency and product quality, researchers have made extensive efforts on how to control and predict the diffusion of NaCl during the salting process. …”
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Application of Shannon Entropy to Reaction–Diffusion Problems Using the Stochastic Finite Difference Method by Marcin Kamiński, Rafał Leszek Ossowski

“…This proposed approach enables a more comprehensive characterization of mixing efficiency, equilibrium states, and transient diffusion behavior. …”
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Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation by Zhaoyong Liang, Zongxin Mo, Shuangyang Zhang, Long Chen, Danni Wang, Chaobin Hu, Li Qi

“…Our self-supervised QPAT network model, which we termed SQPA-Net, introduces light fluence estimation based on diffusion equation to the loss function, and thus guides the model to learn an implicit representation of photoacoustic light transport within tissue. …”
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Enhanced Thermal and Mass Diffusion in Maxwell Nanofluid: A Fractional Brownian Motion Model by Ming Shen, Yihong Liu, Qingan Yin, Hongmei Zhang, Hui Chen

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Determination of Effective Moisture Diffusivity Considering Shrinkage for Vibration-Assisted Infrared Drying of Pumpkin by Jongyingcharoen Jiraporn Sripinyowanich, Naweera Worawit, Sangruangnak Sakawrat, Assawadejmethakul Achira

“…Effective moisture diffusivity (Deff) ranged from 1.44×10-8 to 5.78×10-8 m2/s for HA and VIR drying, respectively. …”
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A buried tunnel junction 940 nm VCSEL for achieving thermal diffusion characteristics by Linjin Song, Zhigang Jia, Wei Jia, Shufang Ma, Lin Shang, Hailiang Dong

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Delayed threshold and spatial diffusion in k-core percolation induced by long-range connectivity by Xin-Ya Zhang, Yi Yao, Zhiyu Han, Gang Yan

“…In such systems, distance-based connectivity shapes not only the information transmission efficiency but also the network robustness and vulnerability behavior. …”
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Diffusion‐Based Subsurface CO2 ${ ext{CO}}_{2}$ Multiphysics Monitoring and Forecasting by Xinquan Huang, Fu Wang, Tariq Alkhalifah

“…However, conventional seismic wave equation‐based approaches are computationally demanding, which hinders real‐time applications. In addition to efficiency, forecasting and uncertainty analysis are not easy to handle using such numerical‐simulation‐based approaches. …”
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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

“…Abstract Single Image Defocus Deblurring (SIDD) remains challenging due to spatially varying blur kernels, particularly in processing high-resolution images where traditional methods often struggle with artifact generation, detail preservation, and computational efficiency. This paper presents Swin-Diff, a novel architecture integrating diffusion models with Transformer-based networks for robust defocus deblurring. …”
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