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  1. 381

    Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

    Published 2025-03-01
    “…Specifically, the simulation demonstrates how different functional areas and their respective uses can be distributed across the designed site, allowing for a more informed and responsive design process. …”
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    Article
  2. 382

    Comparative Study of ASE-ASE and ASE-Laser Based Quantum Random Number Generators by Shreyam Maity, Asish Prosad, Harinee Natarajan, V. Balaswamy, Varun Raghunathan

    Published 2024-01-01
    “…We develop, for the first time to the best of out knowledge, closed-form analytical expressions to describe the signal variance as a function of realistic, non-ideal fiber-optic optical components, the signal correlations as a function of digitizer sampling rate, and minimum entropy as a function of signal variance. …”
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  3. 383

    Contour wavelet diffusion – a fast and high-quality facial expression generation model by Chenwei Xu, Yuntao Zou

    Published 2024-12-01
    “…The diffusion model can generate high-quality images for clearer and more discriminative faces, but its training and inference time is often prolonged, hampering practical application. …”
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  4. 384

    Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

    Published 2025-06-01
    “…The experimental results show that proposed method based on GLGAN facilitates intensive evaluation of the hippocampus, and drives the discriminator to push the mask value provided by the generator to a more realistic distribution, thereby enhancing hippocampus segmentation accuracy. …”
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  5. 385
  6. 386

    Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method by Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng

    Published 2025-01-01
    “…More precisely, we prove that when the mapping function of LCG and the quadratic generator is unknown, if during each iteration, generators only output the most significant bits of vi, one can also recover the seed of PRNG when enough consecutive or nonconsecutive outputs are obtained. …”
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  7. 387

    Problems in Structural and Functional Genomics in Critical States by V. V. Moroz, L. M. Tuchina, G. G. Poroshenko

    Published 2005-08-01
    “…The second level is generally called functional genomics. At this level, investigators elucidate a more and more increasing number of genes and their products involved in the pathogenesis of sepsis, acute lung lesions, intravascular coagulation, and other manifestations of critical states. …”
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  8. 388

    Liver developmental microenvironment promotes iHSC generation from human iPSCs by Di Ye, Min Ding, Yu-Mu Song, Heng-Xing Meng, Wen-Hao Chen, Jian-Yun Ge, Yun-Wen Zheng

    Published 2025-07-01
    “…The generation of highly functional iHSCs may make it more feasible to accurately simulate the liver-specific multicellular microenvironments, thus providing new perspectives on the modeling of physiological regenerative processes and disease progression in the liver, as well as useful tools for creating of new therapeutic strategies.…”
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  9. 389

    SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening by Lanfa Liu, Jinian Zhang, Baitao Zhou, Peilun Lyu, Zhanchuan Cai

    Published 2025-02-01
    “…We designed SSA modules within the generator, enabling more effective extraction and utilization of spectral features. …”
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  10. 390

    A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

    Published 2022-08-01
    “…The proposed algorithm generate 2-Dimensional key matrix having the same dimensions of the original image that includes random numbers obtained from the 1-Dimensional logistic chaotic map for given control parameters, which is then processed by converting the fractional parts of them through a function into a set of non-repeating numbers that leads to a vast number of unpredicted probabilities (the factorial of rows times columns). …”
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  11. 391

    Two-stage voltage control partitioning method for distribution network containing distributed generation by Aigang YANG, Miaoran YANG, Lijun XIE, Jianwei SHAO

    Published 2025-05-01
    “…The results show that the proposed partitioning method has stronger reactive power regulation capability and is more suitable for autonomous control of regional voltage and reactive power in distribution networks.…”
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  12. 392

    Adaptation of the REINVENT neural network architecture to generate potential HIV-1 entry inhibitors by D. A. Varabyeu, A. D. Karpenko, A. V. Tuzikov, A. M. Andrianov

    Published 2024-09-01
    “…To accelerate the learning of the neural network in the modified version of the REINVENT model, the AutoDock-Vina-GPU-2.1 docking program was used, and to clarify the results of its work, the procedure for revaluing the affinity of compounds to the target using the RFScore-4 evaluation function was used.Results. Using a modified version of the REINVENT model, more than 60,000 compounds were obtained, of which about 52,000 molecules have a binding energy value to the HIV-1 gp120 protein comparable to the value calculated for the HIV-1 inhibitor NBD-14204, used in calculations as a positive control. …”
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  13. 393

    A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction by Ximin Qu, Cheng Peng

    Published 2025-01-01
    “…The SRGAN model based on Generative Adversarial Networks (GANs) has achieved breakthroughs in perceptual quality for image super-resolution reconstruction. …”
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  14. 394

    Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

    Published 2024-11-01
    “…Lastly, a composite multi-loss function is proposed to enhance the network’s capability to model intricate spatiotemporal evolving radar echo data, facilitating a more comprehensive assessment of the quality of the generated images, which in turn fortifies the network’s robustness. …”
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  15. 395

    Bio-inspired generative design of contact interfaces subjected to time-dependent loading conditions by David Hernandez-Aristizabal, Santiago Arroyave-Tobón, Kalenia Marquez-Florez, Jean-Marc Linares

    Published 2025-03-01
    “…The results demonstrate that the growth principles lead to almost uniform contact pressure under time-independent loads, up to 34.7% more uniform than reference shapes. Under time-dependent loads, it generates shapes with reduced maximum shear stress and contact pressure (up to 73%) with respect to initial shapes. …”
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  16. 396
  17. 397

    Approaches to analysis of higher mental function impairments by M. V. Karyakina, O. V. Rychkova

    Published 2020-07-01
    “…This makes neuropsychological analysis more of a qualitative method based on the analysis of individual clinical cases.In Western psychology it is more common to talk about mental functions in general. …”
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  18. 398

    Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

    Published 2024-10-01
    “…Abstract We developed and validated digital twins (DTs) for contrast sensitivity function (CSF) across 12 prediction tasks using a data-driven, generative model approach based on a hierarchical Bayesian model (HBM). …”
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  19. 399

    Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

    Published 2025-02-01
    “…Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. …”
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  20. 400

    Thompson’s group T has quadratic Dehn function by Matteo Migliorini

    Published 2025-01-01
    “…We prove that Thompson’s group T and, more generally, all the Higman–Thompson groups $T_n$ have quadratic Dehn function.…”
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