High-Order Finite Difference Hermite Weighted Essentially Nonoscillatory Method for Convection–Diffusion Equations by Yabo Wang, Hongxia Liu

“…We discretize the convection term using the HWENO method and the diffusion term using the Hermite central interpolation schemes. …”
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Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory by Grazia Garlatti Costa, Francesco Venier, Roberto Pugliese

“… This paper investigates the adoption and integration of artificial intelligence (AI) technologies within a sample of 237 Italian enterprises using the Diffusion of Innovations (DOI) theory as the theoretical framework. …”
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Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory by Grazia Garlatti Costa, Francesco Venier, Roberto Pugliese

“… This paper investigates the adoption and integration of artificial intelligence (AI) technologies within a sample of 237 Italian enterprises using the Diffusion of Innovations (DOI) theory as the theoretical framework. …”
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Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes by Jun Liu, Li Hua, Fei Wang, Ming Chen, Yinan Sun, Zhi Hu, Luqing Shu, Andong He, Mengxiao Liu, Qing Yang, Juan Zhu, Yinfeng Qian

“…Thus, combining βCTRW with morphological features enhances diagnostic efficiency. Relevance statement This study demonstrates that βCTRW, derived from the continuous-time random walk diffusion model, when integrated with morphological features, offers a reliable, noninvasive diagnostic approach for differentiating between benign and metastatic retropharyngeal lymph nodes. …”
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Data acquisition system for OLED defect detection and augmentation of system data through diffusion model by Byungjoon Kim, Yongduek Seo

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A Parallel Algorithm for the Two-Dimensional Time Fractional Diffusion Equation with Implicit Difference Method by Chunye Gong, Weimin Bao, Guojian Tang, Yuewen Jiang, Jie Liu

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Multi-target digital material design via a conditional denoising diffusion probability model by Wei Yue, Yuan Gao, Zhenliang Pan, Fanping Sui, Liwei Lin

“…This work proposes and demonstrates a customizer based on a classifier-free, conditional denoising diffusion probability model (cDDPM) to efficiently create the layouts of digital materials meeting the design goal of multiple mechanical properties all together. …”
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Predicting hydrogen diffusion in nickel–manganese random alloys using machine learning interatomic potentials by Kazuma Ito, Naoki Matsumura, Yuto Iwasaki, Yasufumi Sakai, Misaho Yamamura, Tomohiko Omura, Junichiro Yamabe, Hisao Matsunaga

“…This approach enables accurate prediction of hydrogen diffusion in random alloys and provides atomic-level insights into alloying effects.…”
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Ion diffusivity and alkyl chain length-dependent triboelectric behavior of PVDF-HFP+IL composites by Sujeong Gwak, Hyeonseo Joo, Bonhyeop Koo, Cheoljae Lee, Hyosik Park, Hochun Lee, Ju-Hyuck Lee

“…This work provides a novel strategy for enhancing TENG efficiency and offers material selection guidelines for sustainable energy applications.…”
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Quantifying Extremely Rapid Flux Enhancements of Radiation Belt Relativistic Electrons Associated With Radial Diffusion by Si Liu, Qi Yan, Chang Yang, Qinghua Zhou, Zhaoguo He, Yihua He, Zhonglei Gao, Fuliang Xiao

“…Numerical calculations show that chorus can efficiently accelerate seed electrons at L ∼ 8.3. Then radial diffusion further increased the phase space density of relativistic electrons throughout the outer radiation belts, with a remarkable agreement with the observation in magnitude and timescale. …”
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Optimal Estimation of Shear Strength Parameters Based on Copula Theory Coupling Information Diffusion Technique by Xinlong Zhou, Guang Zhang, Shaohua Hu, Junzhe Li

“…Results indicate that information diffusion distribution can efficiently capture the random volatility of real distributions of shear strength parameters and hold remarkable superiority in modeling marginal distributions. …”
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Exploring Performance Degradation of Proton Exchange Membrane Fuel Cells Based on Diffusion Transformer Model by Lingling Lv, Pucheng Pei, Peng Ren, He Wang, Geng Wang

“…Proton exchange membrane fuel cells (PEMFCs) stand at the forefront of energy conversion technology, efficiently converting the chemical energy of hydrogen and oxygen directly into electricity. …”
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Response mechanism of methane non-premixed diffusion flame under the influence of an applied magnetic field by Yaqing Li, Haochen Li, Jun Deng, Yutao Zhang, Chi-Min Shu, Qiang Guo, Bo Che

“…To explore the influence of an applied magnetic field on non-premixed diffusion flames, a methane non-premixed diffusion flame combustion system was constructed. …”
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GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models by Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Mendez, Carol Martinez

“…In this work, we present GraspLDM, a modular generative framework for 6-DoF grasp synthesis that uses diffusion models as priors in the latent space of a VAE. …”
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Research on the molecular dynamics of coalbed methane diffusion and adsorption in reservoir pores under different factors by Xuefan Wang, Jianwei Zhong, Ziyang Zhang, Xu Zeng, Rui Shen, Ze Deng, Nan Wang

“…The migration and diffusion of coalbed methane (CBM) are impeded by adsorption in pore channels, resulting in a significant portion of CBM being trapped in the reservoir and thereby reducing the efficiency of CBM extraction. …”
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A Novel Grouting Diffusion Monitoring System Based on ZigBee Wireless Sensor Network by Xiangpeng Wang, Tingkai Wang, Jinyu Gao, Meng Yang, Fanqiang Lin, Yong Jia

“…On-site experiments demonstrate that the system can simultaneously monitor multiple profiles and perform inversions in the grouting area, which can be assembled into 3D inversion images for evaluating grout diffusion, offering valuable insights for optimizing construction operations, and enhancing grouting efficiency.…”
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Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models by Minkyoung Shin, Seonggyun Jeong, Yong Seok Heo

“…Unlike earlier models such as AnomalyDiffusion, which use separate models for mask and image generation, Anodapter integrates both tasks into a single diffusion model through its proposed Switch Adapter, eliminating misalignment and improving realism. …”
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Neural SHAKE: geometric constraints in neural differential equations by Justin S. Diamond, Markus A. Lill

“…This technique generates lower-energy molecular conformations, enables more efficient subspace exploration, and formally subsumes classifier-guidance-type methods by treating geometric constraints as strict algebraic conditions within the diffusion process. …”
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Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

“…This model accurately predicts many features of human numerosity estimation as a function of temporal exposure, indicating that humans can rapidly and efficiently sample numerosity information over time. …”
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Solution of Coupled Systems of Reaction–Diffusion Equations Using Explicit Numerical Methods with Outstanding Stability Properties by Husniddin Khayrullaev, Andicha Zain, Endre Kovács

“…We obtained that, similarly to the single-equation case, the leapfrog–hopscotch method is usually the most efficient to solve these problems.…”
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