Justification of a complex of measures aimed at reducing diffuse pollution in small river basins by Ludmila V. Kireicheva, Yelena V. Angold, Yuri S. Kuznetsov

“…The sub-basins of Sula (KESL = 0.22) and Shimyakovka (KESL = 0.32) are characterized by pronounced instability. Degradation processes leading to soil erosion and formation of diffuse runoff, which lead to deterioration of water quality in the Kazanka River, are also observed there. …”
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Research Progress on Tractography of Superficial White Matter Based on Diffusion Magnetic Resonance Imaging by MENG Jingxin, WANG Yuanjun

“…Afterwards, the construction process of superficial white matter fiber tract atlas is discussed. …”
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An Improved Diffusion Based Placement Algorithm for Reducing Interconnect Demand in Congested Regions of FPGAs by Ali Asghar, Husain Parvez

“…In this paper, we present a new placement approach which is based on a natural process called diffusion. Our placer attempts to minimize the routing congestion by evenly disseminating the interconnect demand across an FPGA chip. …”
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Emerging Risk Profile of Lung Cancer Therapy: Diffuse Alveolar Hemorrhage from Osimertinib by Michael J. Forte, Rahul G. Sangani

“…Previously reported pulmonary adverse reactions include pneumonitis (nonspecific interstitial pneumonia or other forms of acute interstitial process), fleeting asymptomatic infiltrates on imaging, and eosinophilic pneumonia. …”
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The Statistical Thermodynamics of Generative Diffusion Models: Phase Transitions, Symmetry Breaking, and Critical Instability by Luca Ambrogioni

“…Generative diffusion models have achieved spectacular performance in many areas of machine learning and generative modeling. …”
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BEND4: a novel prognostic biomarker in diffuse large B-cell lymphoma by Yanfang Wang, Zhenhao Zhang, Lianyong Xi, Hua Wang, Fei Dong

“…Abstract Background BEN domain-containing protein 4 (BEND4) is implicated in various cancer-related processes, but its role in diffuse large B-cell lymphoma (DLBCL) remains unclear. …”
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FUNCTIONAL AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING IN DETECTION OF ALZHEIMER’S DISEASE ON EARLY STAGES by V. E. Sinitsyn, V. N. Gridin, E. M. Perepelova, M. S. Merkulova

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Modeling Homogeneous, Stratified, and Diffusion Combustion in Hydrogen SI Engines Using the Wiebe Approach by Oleksandr Osetrov, Rainer Haas

“…However, several challenges arise in the combustion process, limiting the development of hydrogen engines. …”
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Application Strategies of Brain-computer Interface in Education from the Perspective of Innovation Diffusion Theory by Ya Jiang, Qiyun Huang, Yuanqing Li

“…Next, specific factors of the innovation diffusion process of BCI in the education field are discussed within the framework of the Innovation Diffusion theory, and summaries the commercialized products of BCI in education under the four application modes, and the development route of BCI in education in the future. …”
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HarmoDehazeDiffusion: Multi-Scale Spatial Fusion Network for Dense Haze Removal by Jiangjie Yu, Lina Yang, Shangqing Dai, Haoyan Yang

“…To address these challenges, we propose a novel image dehazing framework named HarmoDehazeDiffusion. Our model first acquires a depth map of an input image and then integrates these depth cues with hazy images to guide the diffusion denoising process. …”
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Competitive co-diffusion as a route to enhanced step coverage in chemical vapor deposition by Arun Haridas Choolakkal, Pentti Niiranen, Samira Dorri, Jens Birch, Henrik Pedersen

“…By adding a co-flow of Xe to a CVD process for boron carbide using a single source precursor with a lower molecular mass than the atomic mass of Xe, the SC increased from 0.71 to 0.97 in a 10:1 aspect ratio feature. …”
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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

“…Despite varying connectivity models, spatial neighborhoods consistently demonstrate self-organized criticality throughout the percolation process. Our findings reveal how geometric constraints influence structural and spatial robustness, which may in turn support functional robustness.…”
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Numerical simulation of an effective transform mechanism with convergence analysis of the fractional diffusion-wave equations by Nazek A. Obeidat, Mahmoud S. Rawashdeh, Malak Q. Al Erjani

“…Furthermore, the designing process is greatly impacted by the uncertainty in the system parameters. …”
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Effect of self-healing of cracks in chloride ion diffusion and corrosion of engineered cementitious composites by Abel Shiferaw Alemu, Gebremicael Liyew, Bang Yeon Lee, Hyeong-Ki Kim

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A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model by Marcin Salamaga

“… Objective: The aim of the paper is to assess the size and rate of diffusion of mobile technologies in the processing industry, and to determine the nature and strength of the impact of investment specialisation (investment attractiveness) and industry export specialisation on this phenomenon in the four Visegrad Group countries. …”
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Titanium Nitride as an Intermetallic Diffusion Barrier for Hydrogen Permeation in Palladium–Vanadium Composite Membranes by Cameron M. Burst, Chao Li, Douglas Way, Colin A. Wolden

“…Hydrogen purification is a critical industrial process, and there are ongoing efforts to develop low-cost alternatives to palladium foil membranes. …”
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Modified Solution–Diffusion Model Incorporating Rotational Kinetic Energy in Pressure Retarded Osmosis by Daniel Ruiz-Navas, Edgar Quiñones-Bolaños, Mostafa H. Sharqawy

“…Pressure-retarded osmosis (PRO) is a process that allows the production of mechanical energy from the chemical potential difference between two solutions of different concentrations separated by a semi-permeable membrane. …”
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Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion by Hongkan Chen, Jinchang Liu, Win-bin Huang, Yi Bu

“…The diffusion process is driven by both viral and broadcasting adopters, with the former facilitating early-stage dissemination, although a “damping” effect emerges as dissemination efficiency gradually declines. …”
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End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

“…Recent advances in machine learning have opened new avenues for optimizing detector designs in high-energy physics, where the complex interplay of geometry, materials, and physics processes has traditionally posed a significant challenge. …”
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The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity by Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max Gallant, Ziyao Luo, Matthew McDermott, Patrick Huck, Morten M. Smedskjær, Kristin A. Persson

“…Furthermore, the process of computational quenching non-crystalline structures provides a unique sampling of out-of-equilibrium structures, energies, and force landscape, and we anticipate that the corresponding trajectories will inform future work in universal machine learning potentials, impacting design beyond that of non-crystalline materials. …”
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