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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain.
Sci Rep
January 2025
Department of Computer Science and Information Systems, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, 500078, India.
The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. This paper presents a novel encryption technique that integrates the Deep Convolutional Generative Adversarial Networks (DCGAN) and Virtual Planet Domain (VPD) approach to enhance the protection of medical images. The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC).
View Article and Find Full Text PDFRevisions of the Phenomenological and Statistical Statements of the Second Law of Thermodynamics.
Entropy (Basel)
December 2024
Istituto Nazionale di Alta Matematica (INdAM), 00185 Rome, Italy.
The status of the Second Law of Thermodynamics, even in the 21st century, is not as certain as when Arthur Eddington wrote about it a hundred years ago. It is not only about the truth of this law, but rather about its strict and exhaustive formulation. In the previous article, it was shown that two of the three most famous thermodynamic formulations of the Second Law of Thermodynamics are non-exhaustive.
View Article and Find Full Text PDFEmergy-based valuation of glacier ecosystem services: A case from the Tibetan Plateau.
J Environ Manage
January 2025
Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research - UFZ, 04318 Leipzig, Germany.
Glaciers provide multiple ecosystem services (ES) to human society. Due to the continued global warming, the valuation of glacier ES is of urgent importance because this knowledge can support the protection of glaciers. However, a systematic valuation of glacier ES is still lacking, particularly from the perspective of ES contributors.
View Article and Find Full Text PDFApplication of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan.
J Pharmacokinet Pharmacodyn
January 2025
Clinical Pharmacology Development Area, MSD K.K., Tokyo, Japan.
Model-informed drug development (MIDD) is an approach to improve the efficiency of drug development. To promote awareness and application of MIDD in Japan, the Data Science Expert Committee of the Drug Evaluation Committee in the Japan Pharmaceutical Manufacturers Association established a task force, which surveyed MIDD applications for approved products in Japan. This study aimed to reveal the trends and challenges in the use of MIDD by analyzing the survey results.
View Article and Find Full Text PDFMueller-Matrix Interferometric Multifractal Scaling of Optically Anisotropic Architectonics of Diffuse Blood Facies: Fundamental and Applied Aspects.
J Biophotonics
January 2025
School of Optoelectronics, Zhejiang University, Hangzhou, China.
The article describes a technique for digital holographic reconstruction of complex amplitude fields in diffuse blood facies using laser polarization-interference phase scanning to isolate a single scattered component of the object field. This method serves as the basis for developing algorithms for Mueller-matrix reconstruction of linear and circular birefringence parameters in the polycrystalline architectonics of blood facies. Statistical (central moments of the 1st-4th orders) and multifractal analyses (fractal dimension spectra) are applied to study the optical anisotropy maps of polycrystalline networks during blood dehydration.
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