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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Engagement strategies in human-written and AI-generated academic essays: A corpus-based study by Sharif Alghazo, Ghaleb Rabab'ah, Dina Abdel Salam El-Dakhs, Ayah Mustafa

“…Based on an appraisal theory framework, this corpus-based study explores the use and functions of engagement strategies in human-written and AI-generated academic essays. …”
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Politicians vs ChatGPT by Davide Garassino, Viviana Masia, Nicola Brocca, Alice Delorme Benites

“…Our results show that, on average, ChatGPT-generated texts contain more questionable presuppositions than the politicians’ texts. …”
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The information gain of explicitly provided over self-generated contextual knowledge for behavioral control. by Lukas Magnaguagno, Stephan Zahno, Ernst-Joachim Hossner

“…This interaction implies that future research on explicit provision vs. self-generation of contextual knowledge should pursue a more differential approach, thereby also considering gender and age as well as personality factors.…”
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SEGS-1 episomes generated during cassava mosaic disease enhance disease severity by Evangelista Chiunga, Evangelista Chiunga, Evangelista Chiunga, Catherine D. Aimone, Cyprian Rajabu, Mary M. Dallas, Joseph Ndunguru, José T. Ascencio-Ibáñez, Elijah M. Ateka, Linda Hanley-Bowdoin

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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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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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The Functional Impact of VX-770 on the Cystic Fibrosis Transmembrane Conductance Regulator Is Enduring and Increases the Constitutive Activity of This Channel in Primary Airway Epi... by Heidi J. Nick, Sarah E. Christeson, Preston E. Bratcher

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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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Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis by Elizabeth Gorman, Hongzheng Dai, Hongzheng Dai, Yanming Feng, William James Craigen, William James Craigen, David C. Y. Chen, Fan Xia, Fan Xia, Linyan Meng, Linyan Meng, Pengfei Liu, Pengfei Liu, Robert Rigobello, Arpita Neogi, Christine M. Eng, Christine M. Eng, Yue Wang, Yue Wang

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Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study by Zengzhi Guo, Lisheng Xu, Wenjun Tan, Fei Chen

“…Additionally, the differences in neural activities between the “yes” and “no” speech imagery tasks became more pronounced as the generation rate increased, leading to an improvement in classification performance from 62.81% to 65.78%, and ultimately to 67.50%. …”
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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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A murine model of aortic regurgitation generated by trans‐apical wire destruction of the aortic valve by Xiaoxia Huang, Qiancheng Wang, Dan Han, Hairuo Lin, Zhihong Li, Cankun Zheng, Jianping Bin, Wangjun Liao, Zhanchun Cong, Mengjia Shen, Yulin Liao

“…Here, we present a novel murine model of aortic regurgitation (AR) generated by trans‐apical wire destruction of the AoV. …”
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Tourists-generated photographs in online media and tourism destination choice: The case of Shiraz metropolis in Iran by Amir Ghorbani, Hossein Mousazadeh, Azadeh Golafshan, Farahnaz Akbarzadeh Almani, Lóránt Dénes Dávid

“…The aim of this study was to examine whether Tourist-Generated Photographs (TGP) and images shared by them, on online media channels can affect tourist destination decisions. …”
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Variable lymphocyte receptor F is generated via somatic diversification and expressed by lamprey T-like cells by Sabyasachi Das, Francisco Fontenla-Iglesias, Masayuki Hirano, Ryo Morimoto, Byron B. Au-Yeung, Yashuo Wang, Weiming Li, Thomas Boehm, Jonathan P. Rast, Max D. Cooper

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