Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems by Badr Al Faiya, Ghareeb Moustafa, Hashim Alnami, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Also, efforts are directed toward harmonizing economic objectives with environmental conservation through accurate modelling of the Economic and Environmental Dispatch (EED) problem. This study adopts a more complex approach by formulating the fuel cost and produced emission objectives as cubic polynomial functions. …”
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CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

“…Research methods: method of structural and functional analysis of RNG and IoT devices, cryptographic methods of information protection, methods of random sequence generation, method of stability analysis of systems, methods of construction of autonomous Boolean networks and Boolean chaos analysis, methods of quality assessment of random sequences. …”
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Measuring overall functional diversity by aggregating its multiple facets: Functional richness, biomass evenness, trait evenness and dispersion by Laurie Anne Wojcik, Ursula Gaedke, Ellen vanVelzen, Toni Klauschies

“…We compared K to other, more classic metrics measuring fewer facets of functional diversity by calculating all these indices for randomly and non‐randomly generated communities. …”
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Adolescent dropouts’ functioning in relationships with parents and peers by Ewa Rzechowska

“…A qualitative case study analysis of 14-19-year old dropouts and their relationships with the parents and peers is performed to determine differences in their functioning. Generalizations are made based on the decision tree generated by Quinlan’s algorithm. …”
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Visceral Afferent Pathways and Functional Brain Imaging by Stuart W.G. Derbyshire

“…The application of functional imaging to study painful sensations has generated considerable interest regarding insight into brain dysfunction that may be responsible for functional pain such as that suffered in patients with irritable bowel syndrome (IBS). …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

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

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

“…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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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

“…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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Next-generation immunotherapeutic approaches for blood cancers: Exploring the efficacy of CAR-T and cancer vaccines by Kiavash Hushmandi, Abbas Ali Imani Fooladi, Russel J. Reiter, Najma Farahani, Liping Liang, Amir Reza Aref, Noushin Nabavi, Mina Alimohammadi, Le Liu, Gautam Sethi

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

“…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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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

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

“…We designed SSA modules within the generator, enabling more effective extraction and utilization of spectral features. …”
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A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

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

“…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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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

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

“…The SRGAN model based on Generative Adversarial Networks (GANs) has achieved breakthroughs in perceptual quality for image super-resolution reconstruction. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…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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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

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

“…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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