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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“Gardens, Age and Generation in Children’s Picturebooks” by Katsura Sako, Sarah Falcus

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Performance evaluation of photovoltaic scenario generation by Siyu Ren, Tongxin Yang, Jun Luo, Gang Wu, Gang Wu, Kai Mao, Bowen Liu

“…Despite recent theoretical advancements, effectively evaluating the performance of photovoltaic scenario generation remains a significant challenge. Existing studies predominantly rely on metrics such as mean, variance, and probability density functions for assessment. …”
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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…The objectives include: analyzing the challenges and peculiarities of creating chatbots and preparing high-quality datasets; developing the structure and describing the functionality of the chatbot generation system; providing examples of creating various types of chatbots; conducting experiments to determine the effectiveness and cost of chatbot generation. …”
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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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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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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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Developing a New Two-Step Protocol to Generate Functional Hepatocytes from Wharton’s Jelly-Derived Mesenchymal Stem Cells under Hypoxic Condition by Patcharee Prasajak, Wilairat Leeanansaksiri

“…In conclusion, we present a simple, high-efficiency, and time saving protocol for the generation of functional hepatocyte-like cells from WJ-MSCs in hypoxic condition. …”
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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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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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Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

“…The learner must be able to understand the information encoded in different word forms of the same root and to generate the correct word form to express certain syntactic functions and grammatical relations by conjugating a verb or declining a noun, an adjective or a pronoun. …”
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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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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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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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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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