Case Report: Diffuse cerebral lymphomatosis with superimposed multifocal primary CNS lymphoma by Elizabeth Huai-Feng Li, Claire Davila, Connor Zuraski, Jennifer Chang, Vanessa Goodwill, Nikdokht Farid

“…Subsequently, MR spectroscopy demonstrated abnormally elevated choline:creatine and decreased NAA peaks, suggesting a hypercellular process. One month later, MRI revealed increasingly confluent T2/FLAIR hyperintensities with new diffusion restriction in the right caudate and left hippocampus, as well as new hyperperfusion in the right caudate. …”
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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

“…Meanwhile, our research reveals that high-frequency (HF) components of SAR images play a crucial role in the generation process, and a frequency adjustment module (FAM) based on the fast Fourier transform is implemented in our generation model to prevent interference of HF components by low-frequency components. …”
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FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model by Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

“…Our diffusion model uses a dual-path reverse diffusion process for low-frequency and high-frequency information, achieving a better balance between image quality and anatomical accuracy. …”
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THE DIFFUSION OF VALUE EDUCATION MODEL IN EARLY CHILDHOOD THROUGH TRADITIONAL SONGS AND GAMES by Mami Hajaroh, Rukiyati Rukiyati, Joko Pamungkas

“…This study proves that the model of value education in early childhood through traditional songs and games has five characteristics as innovations which have the advantages of relative, compatibility, complexity, can be tested and can be observed. In addition, in the process of disseminating to the teacher through five stages of diffusion, namely: knowledge, persuasion, decision, implementation, and confirmation. …”
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Unveiling Sodium Diffusion Kinetics and Locking Mechanisms for High‐Performance CZTSSe Photovoltaics by Shuyu Li, Chaoran Li, Chu Liu, Jiachen Wu, Letu Siqin, Yuan Li, Guonan Cui, Yanchun Yang, Ruijian Liu, Hongmei Luan, Chengjun Zhu

“…These findings advance kesterite solar cell technology and offer a blueprint for optimizing thin‐film devices, improving process tolerance and material sustainability.…”
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Recycling of Walnut Shell Biomass for Adsorptive Removal of Hazardous Dye Alizarin Red from Aqueous Solutions Using Magnetic Nanocomposite: Process Optimization, Kinetic, Isotherm,... by Vairavel Parimelazhagan, Palak Sharma, Yashaswini Tiwari, Alagarsamy Santhana Krishna Kumar, Ganeshraja Ayyakannu Sundaram

“…Adsorption followed pseudo-second-order (PSO) kinetics (R² = 0.9999) and Langmuir isotherm models (R² = 0.9983), with thermodynamic studies indicating spontaneous and endothermic chemisorption. The intra-particle diffusion model, Bangham, and Boyd plots describe the adsorption process, and external boundary layer diffusion of AR dye molecules in the aqueous phase limits the adsorbate removal rate. …”
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Quantification of Small‐Scale Spatial Patterns in Alpine–Treeline Ecotones by Lukas Flinspach, Thorsten Wiegand, J. Julio Camarero, Enric Batllori, Emilia Gutiérrez, Maaike Y. Bader

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Sinc-Chebyshev Collocation Method for a Class of Fractional Diffusion-Wave Equations by Zhi Mao, Aiguo Xiao, Zuguo Yu, Long Shi

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Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

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Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

“…The processing of brain diffusion tensor imaging (DTI) data for large cohort studies requires fully automatic pipelines to perform quality control (QC) and artifact/outlier removal procedures on the raw DTI data prior to calculation of diffusion parameters. …”
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Reliability Modeling of OSS Systems based on Innovation-Diffusion Theory and Imperfect Debugging by Neha Gandhi, Neha Gondwal, Abhishek Tandon

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AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion by L. A. Ruiz, A. A. Boriskevich

“…The results of an algorithm modeling show that it provides near lossless compression due to processing of insignificant coefficients defined by quantization error diffusion procedure.…”
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MIP and MinIP in Practice: Diffuse Nodules, Mosaic Attenuation, and Other Examples by Naim Jerjir

“…Maximum intensity projection (MIP) and minimum intensity projection (MinIP) are post-processing techniques that can significantly contribute to radiological diagnostics. …”
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Ensemble-Based Correction for Anomalous Diffusion Exponent Estimation in Single-Particle Tracking by Roman Lavrynenko, Lyudmyla Kirichenko, Sergiy Yakovlev, Sophia Lavrynenko, Nataliya Ryabova

“…The analysis of anomalous diffusion characteristics within single-particle tracking data is a key problem in several applied-science domains, including biosignal processing, bioinformatics, and biotechnology. …”
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Analysis of advanced diffusion models assessing white matter microstructure in Alzheimer’s disease by Minli Lv, Kongcai Zhan, Jie Yang, Yan Li, Yutong Li, Xiaoya Xu, Limei Han, Hao Feng, Jianquan Zhong

“…The images were further processed to obtain diffusion MRI models and multi-parameter values. …”
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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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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

“…Determining the homogeneity of material mixing in real time during product processing is critical for quality control. 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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Diffusion-Weighted Imaging-Based Differentiating between Benign and Malignant Ovarian Lesions by Ali Reza Eftekhari Moghadam, Milad Jalilian, Forouzan Absalan, Farhad Heidari

“…Post-processing of three-dimensional apparent diffusion coefficient (ADC) maps has proven useful in evaluating variable tumors, although its position in ovarian cancer prognosis is until now not well defined. …”
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Mesoscale connectivity of the human hippocampus and fimbria revealed by ex vivo diffusion MRI by Madeline McCrea, Navya Reddy, Kathryn Ghobrial, Ryan Ahearn, Ryan Krafty, T. Kevin Hitchens, Jorge Martinez-Gonzalez, Michel Modo

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DCLTV: An Improved Dual-Condition Diffusion Model for Laser-Visible Image Translation by Xiaoyu Zhang, Laixian Zhang, Huichao Guo, Haijing Zheng, Houpeng Sun, Yingchun Li, Rong Li, Chenglong Luan, Xiaoyun Tong

“…However, laser images exhibit significant modal discrepancy in contrast to the visible image, impeding human perception and computer processing. Consequently, it is necessary to translate laser images to visible images across modalities. …”
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