Finite Difference and Sinc-Collocation Approximations to a Class of Fractional Diffusion-Wave Equations by Zhi Mao, Aiguo Xiao, Zuguo Yu, Long Shi

“…We propose an efficient numerical method for a class of fractional diffusion-wave equations with the Caputo fractional derivative of order α. …”
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The Discrete SIR Epidemic Reaction–Diffusion Model: Finite-Time Stability and Numerical Simulations by Issam Bendib, Ma’mon Abu Hammad, Adel Ouannas, Giuseppe Grassi

“…The resulting discrete model captures the interplay between spatial heterogeneity, diffusion rates, and reaction dynamics, enabling a robust framework for theoretical analysis. …”
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Modeling Homogeneous, Stratified, and Diffusion Combustion in Hydrogen SI Engines Using the Wiebe Approach by Oleksandr Osetrov, Rainer Haas

“…The use of hydrogen as a fuel for piston engines enables environmentally friendly and efficient operation. However, several challenges arise in the combustion process, limiting the development of hydrogen engines. …”
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On the Solution of Double-Diffusive Convective Flow due to a Cone by a Linearization Method by Mahesha Narayana, Precious Sibanda

“…The paper details the use of a nonperturbation successive linearization method to solve the coupled nonlinear boundary value problem due to double-diffusive convection from an inverted cone. Diffusion-thermo and thermal-diffusion effects have been taken into account. …”
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A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models by Fuhao Li, Ifiok Udoidiok, Jielun Zhang

“…Furthermore, the limited computational power of edge devices requires lightweight generative models, making it challenging to implement diffusion models for data augmentation. In this paper, we conduct a comprehensive study on lightweight convolution techniques for malicious traffic synthesis in diffusion models. …”
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High temperature performance of a dual self-diffusion coating on TA9 alloy by Jiaping Han, Yan Liu, Dongdong Zhang, Hao Zhang, Haibo Wang, Chuanhai Xiao, Jing Zhang, Chuan Yang, Lei Wang, Xiaopeng Lu, Hui Chen

“…The duplex coating efficiently improved the oxidation resistance and the oxidation rate was 5 times lower than that of TA9 matrix at 700 °C. …”
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Breast cancer detection based on histological images using fusion of diffusion model outputs by Younes Akbari, Faseela Abdullakutty, Somaya Al Maadeed, Ahmed Bouridane, Rifat Hamoudi

“…These segmented regions, combined with predicted noise from the diffusion model and original images, are processed through an EfficientNet-B0 network to extract enhanced features. …”
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SADiff: Coronary Artery Segmentation in CT Angiography Using Spatial Attention and Diffusion Model by Ruoxuan Xu, Longhui Dai, Jianru Wang, Lei Zhang, Yuanquan Wang

“…This comprehensive evaluation demonstrates that SADiff provides a more efficient and versatile method for coronary segmentation and shows great potential for improving the diagnosis and treatment of CAD.…”
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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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Coupling Effects of Microstructure Characteristics on Stress Distribution for Pore-Scale Gas Diffusion Layers by Yushuai Sun, Pinliang Du, Miaoqi Bian, He Miao, Hao Hu, Liusheng Xiao

“…A gas diffusion layer (GDL) is an essential component for the efficient operation of proton exchange membrane fuel cells, requiring stable mechanical strength and uniform stress distribution to achieve higher durability. …”
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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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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…This paper introduces a novel semantic diffusion model capable of generating synthetic crack images from segmentation masks. …”
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Constraining Anisotropic Diffusion between Geminga and Earth with the Cosmic-Ray Electron and Positron Spectrum by Junji Xia, Xiaojun Bi, Kun Fang, Siming Liu

“…In this scenario, the diffusion coefficient parallel to the mean field ( D _∥ ) can still be large, enabling electrons and positrons ( e ^± ) produced by Geminga to efficiently travel to Earth along the magnetic field lines, possibly resulting in a detectable e ^± flux. …”
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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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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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Groundwater electro-bioremediation via diffuse electro-conductive zones: A critical review by Federico Aulenta, Matteo Tucci, Carolina Cruz Viggi, Stefano Milia, Seyedmehdi Hosseini, Gianluigi Farru, Rajandrea Sethi, Carlo Bianco, Tiziana Tosco, Marios Ioannidis, Giulio Zanaroli, Riccardo Ruffo, Carlo Santoro, Ugo Marzocchi, Giorgio Cassiani, Luca Peruzzo

“…Upon transport and deposition onto soil grains, these particles create an electrically conductive zone that can be exploited to control and fine-tune the delivery of electron donors or acceptors over large distances, thereby driving the process more efficiently. Beyond extending the radius of influence of electrodes, these diffuse electro-conductive zones (DECZ) could also promote the development of syntrophic anaerobic communities that degrade contaminants via direct interspecies electron transfer (DIET). …”
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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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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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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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