Tumor-Associated Macrophages as Key Modulators of Disease Progression in Diffuse Large B-Cell Lymphoma by Corina Joldes, Laura Jimbu, Oana Mesaros, Mihnea Zdrenghea, Bogdan Fetica

“…With the advent of new therapeutic approaches, there is hope that anticancer treatment will eventually be possible without the use of chemotherapy. Efficient immunotherapeutic options have recently emerged in many cancers, offering a less aggressive approach, with overall better tolerance, making them also suitable for frail patients. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…While researchers must spend time on robust visual QC of data, there are mechanisms by which the process can be streamlined and efficient.…”
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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

“…The research emphasizes AI’s significant role in enhancing operational efficiency, fostering innovation, securing competitive advantage, and driving long-term growth. …”
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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

“…The research emphasizes AI’s significant role in enhancing operational efficiency, fostering innovation, securing competitive advantage, and driving long-term growth. …”
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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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DiffBTS: A Lightweight Diffusion Model for 3D Multimodal Brain Tumor Segmentation by Zuxin Nie, Jiahong Yang, Chengxuan Li, Yaqin Wang, Jun Tang

“…DiffBTS replaces the conventional self-attention module in the traditional diffusion models by introducing an efficient 3D self-attention mechanism. …”
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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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Preferences substantiation for non-destructive diagnostic methods selecting pores diffusion coefficient in block products by V. P. Belyaev, M. P. Belyaev, L. G. Varepo, P. S. Belyaev, V. V. Pavlinov

“…The developed technique obviates long transducer calibration stage for each new porous material and diffusing polar solvent, increasing the analysis efficiency. …”
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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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Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

“…The proposed method not only significantly reduces data acquisition costs but also provides a flexible, data-driven approach for virtual forest generation that adapts to diverse research requirements, offering a more efficient and practical solution for forestry research and ecological modeling.…”
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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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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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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 study develops a machine-learning interatomic potential (MLIP) for the Ni–Mn–H ternary system by efficiently sampling training data through an active learning strategy that combines atomic-force uncertainty and structural descriptors of diverse atomic environments. …”
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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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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

“…GraspLDM’s architecture enables us to train task-specific models efficiently by only re-training a small denoising network in the low-dimensional latent space, as opposed to existing models that need expensive re-training. …”
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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

“…To achieve this, Anodapter efficiently separates anomaly information into appearance and spatial components. …”
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DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images by Zhen Wang, Nan Xu, Zhuhong You, Shanwen Zhang

“…DiffMamba uses a hybrid CNNs-Transformer as the encoder structure, and is equipped with the efficient phase sensing module (EPSM), the multi-view transformer module (MVTrans), the semantic diffusion alignment module (SDAM), and the coordinate state space model (CAMamba). …”
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