Integrating quantum synchronization in future generation networks by Swaraj Shekhar Nande, Muhammad Idham Habibie, Milad Ghadimi, Andrea Garbugli, Koteswararao Kondepu, Riccardo Bassoli, Frank H. P. Fitzek

“…Increasing the synchronization error from the ideal tens of nanoseconds to hundreds of microseconds is unacceptable in future-generation networks. This work provides a novel way to establish ultraprecise synchronization, which is critical for the growth of converged optical communication networks and the 6G era. …”
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Effective antistress ligands lithium new generation by K. S. Ostrenko, V. A. Galochkin, O. A. Gromova, V. V. Rastashanskii, I. Yu. Torshin

“…To increase stress tolerance it is necessary to maintain the body's balance functions of the nervous, immune, endocrine and antioxidant systems of the monooxygenase. …”
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Using GNN property predictors as molecule generators by Félix Therrien, Edward H. Sargent, Oleksandr Voznyy

“…Our approach hits target properties with rates comparable to or better than state-of-the-art generative models while consistently generating more diverse molecules. …”
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Generative language reconstruction from brain recordings by Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, Tuukka Ruotsalo

“…While an LLM can already generate high-quality content, our approach produces results more closely aligned with the visual or auditory language stimuli in response to which brain recordings are sampled, especially for content deemed “surprising” for the LLM. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…This article analyzes the semiotic functioning of Midjourney and DALL•E, two generative AI models capable of producing images out of natural language prompts. …”
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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…Each feedforward neural network consists of two perceptrons with ReLU activation functions and a linear projection layer, facilitating both category classification and bounding box regression.Results and DiscussionsTo evaluate the performance of RRM in the scene graph generation task, we employed several commonly used metrics in this research domain: Recall@K (R@K) and Mean Recall@K (mR@K). …”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

“…Three different membership functions are compared to select the best input membership function, <em>i.e.…”
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THE IMPACT OF THIRD-GENERATION BETA-BLOCKER ANTIHYPERTENSIVE TREATMENT ON ENDOTHELIAL FUNCTION AND THE PROTHROMBOTIC STATUS. EFFECTS OF SMOKING by G. P. Vyssoulis, A. G. Marinakis, K. A. Aznaouridis, E. A. Karpanou, A. N. Arapogianni, D. V. Cokkinos, C. I. Stefanadis

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Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network by NOOR FAZLIANA FADZAIL, Samila Mat Zali, Ernie Che Mid

“…Moreover, the double sigmoid activation function provides an accuracy of more than 82% in the ANN algorithm. …”
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IMPACT OF THE SECOND GENERATION ANTIHISTAMINES ON COGNITIVE FUNCTION IN CHILDREN WITH POLLEN ALLERGY RECEIVING SPECIFIC ALLERGEN IMMUNOTHERAPY by O. I. Muradova, L. S. Namazova-Baranova, G. A. Karkashadze, O. I. Maslova, R. M. Torkhshoeva, A. Yu. Tomilova, A. A. Alekseeva, E. А. Vishneva, K. S. Volkov, T. A. Konstantinidi

“…Allergic pathology in particular, a hay fever, can lead to decrease in cognitive functions at children. Earlier it was established that antihistamine preparations of I generation influence cognitive functions of patients. …”
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Functional memory B cells and long-lived plasma cells are generated after a single Plasmodium chabaudi infection in mice. by Francis Maina Ndungu, Emma Tamsin Cadman, Joshua Coulcher, Eunice Nduati, Elisabeth Couper, Douglas William Macdonald, Dorothy Ng, Jean Langhorne

“…Thus, in this model of malaria, both functional Plasmodium-specific memory B cells and long-lived plasma cells can be generated, suggesting that defects in generating these cell populations may not be the reason for generating short-lived antibody responses.…”
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Noise robust chi-square generative adversarial network by Hongjun LI, Chaobo LI, Shibing ZHANG

“…Aiming at the obvious difference of image quality generated by generative adversarial network under different noises,a chi-square generative adversarial network (CSGAN) was proposed.Combing the advantages of quantification sensitivity and sparse invariance,the chi-square divergence was introduced to calculate the distance between the generated samples and the original samples,which could reduce the influence of different noises on the generated samples and the quality requirement of original samples.Meanwhile,the network architecture was built and the global optimization objective function was constructed to enhance the adversarial performance.Experimental results show that the quality of the images generated by the proposed algorithm has little difference,and the network is more robust to different noises than the state-of-the-art networks.The application of chi-square divergence not only improves the quality of generated images,but also increases the robustness of the network under different noises.…”
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Fractal Art Pattern Generation Based on Genetic Algorithm by Huabai Liu

“…In order to solve the problem in the application and optimization method of fractal art pattern generation, on the basis of the integration of the fractal theory and genetic algorithm, a generation method based on genetic algorithm and composition generation was proposed. …”
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TERAPAN MCRNG SEBAGAI GENERATOR ACAK UNTUK GAME by Usman Nurhasan, Bagus Purnomo

“…Most game s are used as a means of entertainment, but can also function as a means of training, education and simulation. …”
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Anionic Lipid Catalyzes the Generation of Cytotoxic Insulin Oligomers by Jhinuk Saha, Audrey Wolszczak, Navneet Kaur, Malitha C. Dickwella Widanage, Samuel D. McCalpin, Riqiang Fu, Jamel Ali, Ayyalusamy Ramamoorthy

“…Furthermore, the soluble intermediates were found to be more cytotoxic than fibrils generated with or without lipids. …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

“…Various optimization techniques required objective functions, developed on the basis of the root and frequency criteria for evaluation ofparameters of the regulatory process for the proper functioning of the automatic excitation controller for synchronous generator (AEC SG), working in different scheme-regime situations. …”
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Neural dynamics of semantic control underlying generative storytelling by Clara Rastelli, Antonino Greco, Chiara Finocchiaro, Gabriele Penazzi, Christoph Braun, Nicola De Pisapia

“…Here, human participants generated stories that were either appropriate (ordinary), novel (random), or balanced (creative), while recording functional magnetic resonance imaging (fMRI). …”
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Development of a 1.0 KVA Fuelless Generator by Blessing Ngozi Goodluck Aliemeke, Munirat Abdullawal Momoh, Mercy Onoshioze Asekhome, Christian Azuka Anani, Afoke Chief Vincent

“…Comprehensive performance testing validated the functionality and reliability of the developed generator under various load conditions. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…To model the variability of wind and solar DGs, probability distribution functions (PDFs) are employed, which allow for a more accurate representation of their performance. …”
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Simulation study on global migration of locally generated impurity in JT-60U by Ryuichi Sano, Tomohide Nakano, Shohei Yamoto

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