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

    Published 2021-01-01
    “…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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  3. 23

    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

    Published 2024-12-01
    “…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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  4. 24

    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

    Published 2024-11-01
    “…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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  5. 25

    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

    Published 2025-01-01
    “…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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    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

    Published 2025-06-01
    “…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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    Information and Life: Towards a Biological Understanding of Informational Phenomena by Pedro C. Marijuán

    Published 2008-07-01
    “…The variant in-formation spelling emphasizes that the cellular coupling among constitutive (proteomic), generative (genomic), and communicational (signaling) information genera produces a differentiated mode of existence, the living state, which is always in the making, perpetually in formation. …”
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  12. 32

    Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

    Published 2025-04-01
    “…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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  13. 33

    Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

    Published 2025-04-01
    “…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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    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

    Published 2009-12-01
    “…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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  16. 36

    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

    Published 2024-11-01
    “…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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    circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

    Published 2025-08-01
    “…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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    Association between sensitization to common fungi and severe asthma by Ziqiu Chen, Yu He, Huaien Bu

    Published 2025-05-01
    “…Subgroup analyses further revealed that Aspergillus (A. fumigatus) sensitization was more strongly linked to severe asthma risk in younger and male populations: ORs with 95% CIs were 2.55 (1.35–4.83) in the ≥40 years subgroup, 3.04 (1.01–9.12) in the <40 years subgroup, and 2.77 (1.16–6.62) in the female-majority subgroup.ConclusionIn this study, we quantified the risk of sensitization to distinct fungal genera/species, aiming to provide a scientific rationale for screening high-risk fungal sensitization, early detection of severe asthma risk, and personalized health management for patients.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier [CRD42024620737].…”
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