Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks by De Gu, Jishuai Wang, Ji Li

“…The idea of this paper comes from the fact that contours only break on the geometrical boundary and the WSN are discrete sampling systems of real environments. By simulating a diffusion process in discrete form, the end point of semi-contours suggests the boundary nodes of a WSN. …”
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Passive compliance or active innovation: The diffusion of public sport policies in China. by Zhiliang Li, Jian Liu, Hailin Lu, Jingjing Zhou

“…Accordingly, we collect policy samples from 31 provinces of China. Adopting the central-local relationship perspective, we use the grey correlation analysis method to explore the intrinsic relationship between the factors influencing the diffusion of public sports policies and the degree of policy text reproduction by provincial governments. …”
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Activation of diffusion during the formation of boride layers on the surface of steel parts by S. M. Usherenko, V. G. Dashkevich, Yu. S. Usherenko

“…The features of structure formation of diffusion layers obtained by the technology, including preliminary surface treatment of steel products and subsequent thermal diffusion boriding in powder media, have been investigated. …”
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Age-related changes in diffuse optical tomography sensitivity profiles in infancy. by Xiaoxue Fu, John E Richards

“…Diffuse optical tomography uses near-infrared light spectroscopy to measure changes in cerebral hemoglobin concentration. …”
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Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation by Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong

“…While data augmentation such as image rotation can mitigate this issue, it often causes leakage, where augmented content appears in generated samples. In this paper, we propose a novel regularization framework, called shifted data-augmentation (SDA), for training unconditional diffusion models. …”
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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

“…In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). …”
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Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection by Xingyu Zou, Kaixu Han, Xinle Zhang, Wenhao Wang, Ning Wu

“…Recent advancements in object detection, particularly with DiffusionDet, have demonstrated impressive performance. …”
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Knowledge-guided diffusion model for 3D ligand-pharmacophore mapping by Jun-Lin Yu, Cong Zhou, Xiang-Li Ning, Jun Mou, Fan-Bo Meng, Jing-Wei Wu, Yi-Ting Chen, Biao-Dan Tang, Xiang-Gen Liu, Guo-Bo Li

“…We herein propose a knowledge-guided diffusion framework for ‘on-the-fly’ 3D ligand-pharmacophore mapping, named DiffPhore. …”
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Determination of Diffusion Coefficients of Nickel and Vanadium into Stainless and Duplex Steel and Titanium by Šárka Vávrová, Martin Švec, Jaromír Moravec, Daniel Klápště

“…Initial diffusion joints were prepared in a Gleeble 3500 machine, and samples for the study of diffusion kinetics were subsequently heat-treated in a vacuum furnace. …”
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Deep learning based segmentation of binder and fibers in gas diffusion layers by Andreas Grießer, Rolf Westerteiger, Erik Glatt, Hans Hagen, Andreas Wiegmann

“…Gas diffusion layers (GDLs) are vital parts for the performance of proton-exchange membrane fuel cells (PEMFCs). …”
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Cytokine profile in the liver during its diffuse damage and Heptor introduction by O. V. Alpidovskaya

“…Chronic diffuse liver diseases are among urgent problems in the modern world. …”
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Applying a diffusion of innovations framework to characterise diffusion groups and more effectively reach late adopters: a cross-sectional study on COVID-19 vaccinations in Canada... by Tyler Williamson, Jia Hu, Kate Zinszer, Reed Beall, Brian Steele, Ally Memedovich, Aidan Hollis, Taylor Orr, Charleen Salmon

“…A multinomial logistic regression model assessed the likelihood of participants being associated with each diffusion category (with the significance level set at p<0.05).Results The final sample included 2131 respondents. …”
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Caught in the Act of Quenching? -- A Population of Post-Starburst Ultra-Diffuse Galaxies by Loraine Sandoval Ascencio, M. C. Cooper, Dennis Zaritsky, Richard Donnerstein, Donghyeon J. Khim, Devontae C. Baxter

“…Our analysis is based on a sample of 44 candidate UDGs selected from the Systematically Measuring Ultra-Diffuse Galaxies (SMUDGes) program. …”
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Examination of the Psychometric Properties of the Borderline Personality Inventory in an Adolescent Sample by Yasemin Kahya, Koret Munguldar, Melis Gün

“…The construct validity analyses indicated that the BPI was composed of the subfactors of identity and reality diffusion, volatile affect and interpersonal relationships, and impulsivity. …”
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Application of Linear Additive Conditions for Near-Infrared Diffuse Reflectance Absorption Spectroscopy by Zhiyue Feng, Guimin Cai, Tiancheng Huang, Hubin Liu, Jianhua Zheng, Zengrong Yang, Longlian Zhao, Junhui Li

“…According to the Kubelka–Munk (K-M) function of diffuse reflectance absorption spectrum, absorbance (A) is approximately linear with the content of the components when the sample scattering coefficient (S) is in a certain range. …”
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ON STRUCTURED AND DIFFUSE SEISMICITY, STIFFNESS OF EARTHQUAKE FOCI, AND NONLINEARITY OF MAGNITUDE RECURRENCE GRAPHS by Evgeny G. Bugaev

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Diffusion Model With Gradient Descent Module Guiding Reconstruction for Single-Pixel Imaging by Chen Huang, Qiurong Yan, Jinwei Yan, Yi Li, Xiaolong Luo, Hui Wang

“…However, there is still a great deal of space for improvement in the quality of image reconstruction at low sampling rates. Inspired by the proximal gradient descent algorithm (PGD), we propose Diffusion Model with Gradient Descent Module Guiding Reconstruction for Single-Pixel Imaging. …”
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DiffuSAR: Frequency Domain-Aware Diffusion Model for SAR Image Generation by Zilu Ying, Wenyu Ke, Yikui Zhai, Zhihao Long, Jianhong Zhou, Hufei Zhu, C. L. Philip Chen

“…To tackle the aforementioned problems, we proposed a lightweight frequency domain-aware SAR image generation model based on the denoising diffusion probabilistic model. The proposed generative model is capable of producing highly realistic artificial SAR image samples while converging stably. …”
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SVDDD: SAR Vehicle Target Detection Dataset Augmentation Based on Diffusion Model by Keao Wang, Zongxu Pan, Zixiao Wen

“…In response to this issue, this paper collects SAR images of the Ka, Ku, and X bands to construct a labeled dataset for training Stable Diffusion and then propose a framework for data augmentation for SAR vehicle detection based on the Diffusion model, which consists of a fine-tuned Stable Diffusion model, a ControlNet, and a series of methods for processing and filtering images based on image clarity, histogram, and an influence function to enhance the diversity of the original dataset, thereby improving the performance of deep learning detection models. …”
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Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image by Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang

“…For each conditional diffusion model, the network parameters of the corresponding IRM are shared with the multispectral image for spectral up-sampling. …”
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