Equipment Maintenance Support Effectiveness Evaluation Based on Improved Generative Adversarial Network and Radial Basis Function Network by Zhen Li, Jianping Hao, Cuijuan Gao

“…It adds category constraint based on category probability vector reordering function to GAN loss function, avoids the simplification of generated sample categories, and enhances the quality of generated samples. …”
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Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. by Michael Forrester, Sammy Petros, Oliver Cattell, Yi Ming Lai, Reuben D O'Dea, Stamatios Sotiropoulos, Stephen Coombes

“…Here we demonstrate the ability of this new modelling framework, when combined with data from the Human Connectome Project, to generate patterns of functional connectivity (FC) of the type observed in both magnetoencephalography and functional magnetic resonance neuroimaging. …”
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Frequency-Voltage-var Function for Active Front-end VFD on Oil and Gas Platforms with Offshore Wind Generation by Kassiane de S. Medeiros, João Marcus S. Callegari, Lorrana F. da Rocha, Danilo I. Brandao

“…However, the increased generation at FPSO based on converter-interfaced energy decreases the system-equivalent inertia constant, which becomes more susceptible to frequency deviations. …”
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Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…Finally, to address the issue of DCGAN generating repeated and similar images, an image similarity measurement function is introduced into the loss function. …”
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Tuning Ru/Ni sites in the perovskite-based precursor synthesis to make more efficient and durable dual-function materials for integrated CO2 capture and methanation by Jon A. Onrubia-Calvo, Beñat Pereda-Ayo, Unai De-La-Torre, José A. González-Marcos, Juan R. González-Velasco

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Spatially-Aware Loss Functions for GAN-Driven Super-Resolution by Xijun Wang, Santiago Lopez-Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos

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Bayesian inference: more than Bayes’s theorem by Thomas J. Loredo, Robert L. Wolpert

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eidos: A modular approach to external function integration in LLMs by José F. Aldana-Martín, Antonio Benítez-Hidalgo, José F. Aldana-Montes

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Analysis of gastric mucosa associated microbiota in functional dyspepsia using 16S rRNA gene next-generation sequencing by Noha Salah Soliman, May Sherif Soliman, Walied Elhossary, Amani Ali El-Kholy

“…There is a scarcity of data regarding the presence of gastric mucosa-associated dysbiosis in functional dyspepsia. The present study aimed to characterize the taxonomy and diversities of the microbiota in the gastric mucosa of patients with functional dyspepsia. …”
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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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Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

“…Sociolegal factors emerged as critical mediators, mitigating the negative impact of perceived risks and reinforcing the positive effects of functional perceptions. The study responds to prior feedback by offering a more integrated theoretical framework, clearly articulating how TAM, PMT, and SET interact to shape user behavior. …”
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And growth on form? How tissue expansion generates novel shapes, colours and enhance biological functions of Turing colour patterns of Eukaryotes. by Pierre Galipot

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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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A generative model for Gaia astrometric orbit catalogs: selection functions for binary stars, giant planets, and compact object companions by Kareem El-Badry, Casey Lam, Berry Holl, Jean-Louis Halbwachs, Hans-Walter Rix, Tsevi Mazeh, Sahar Shahaf

“…We populate a synthetic Milky Way model with binary stars and generate a mock catalog of astrometric orbits. The mock catalog is quite similar to the DR3 astrometric binary sample, suggesting that our selection function is a sensible approximation of reality. …”
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Modifying Parallel Excitations into One Framework for C(sp3)─H Bond Activation with Energy Combined More Than Two Photons by Qingbo Shen, Jiali Chen, Xu Jing, Chunying Duan

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circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

“…To address this issue, we propose an extended algorithm named circGPAcorr, which uses expression data to weight the interactions, resulting in more precise functional annotation. To assess the significance of the results, the p-value is calculated using reduction to circGPA, a generating-polynomial-based method. …”
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Adult Neuroplasticity: More Than 40 Years of Research by Eberhard Fuchs, Gabriele Flügge

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Investigating the effect of loss functions on single-image GAN performance by Eyyup YİLDİZ, Mehmet Erkan YUKSEL, Selcuk SEVGEN

“…Loss functions are crucial in training generative adversarial networks (GANs) and shaping the resulting outputs. …”
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Synthetic ECG signal generation using generative neural networks. by Edmond Adib, Fatemeh Afghah, John J Prevost

“…However, visual inspections of generated beats favors BiLSTM-DC GAN and WGAN, as they produce statistically more acceptable beats. …”
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Do women prefer more complex music around ovulation? by Benjamin D Charlton, Piera Filippi, W Tecumseh Fitch

“…If so, women may be expected to show heightened preferences for more complex music when they are most fertile. Here, we used computer-generated musical pieces and ovulation predictor kits to test this hypothesis. …”
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