Extraction-Augmented Generation of Scientific Abstracts Using Knowledge Graphs by Haotong Wang, Yves Lepage

“…Graph-to-text generation for specialized tasks, such as scientific abstract generation, is challenging due to the limited availability of structured knowledge graphs and the need to balance semantic accuracy with paragraph coherence. …”
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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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Applying Genetic Algorithm for test pattern generation process optimization by V. I. Kuraedov

“…It has been discovered that the proposed method is more effective in comparison to random vector generation to an extent of target errors amount for every benchmark.Conclusions. …”
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Difficulties in generating specific antibodies for immunohistochemical detection of nitrosylated tubulins. by Anton Kamnev, Matthias Muhar, Martina Preinreich, Hermann Ammer, Friedrich Propst

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Exosome may be the next generation of promising cell-free vaccines by Zelan Dai, Ruiru Cai, Hong Zeng, Hailian Zhu, Youwei Dou, Shibo Sun

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Tools of generative artificial intelligence in teaching English for specific purposes by Anna V. Malaeva, Tatiana P. Volkova, Tatiana A. Globa

“…The article is devoted to the possibilities of using generative artificial intelligence (GAI) tools in teaching English for specific purposes (ESP). …”
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The main types of wind turbines-generators in the power supply system by S. K. Sheryazov, S. S. Issenov, R. M. Iskakov, A. B. Kaidar

“…Analyze the role, place and features of the functioning of wind power plants. Provide various options for generators and schemes for converting wind energy into electricity. …”
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Alpha helices are more evolutionarily robust to environmental perturbations than beta sheets: Bayesian learning and statistical mechanics for protein evolution by Tomoei Takahashi, George Chikenji, Kei Tokita, Yoshiyuki Kabashima

“…The result shows that protein structures rich in α helices are more robust to environmental perturbations through successive generations than those rich in β sheets.…”
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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Megacities without global functions by Lise Bourdeau-Lepage, Jean-Marie Huriot

“…A number of megacities do not exhibit any global function.The global performances of megacities are well correlated with their degree of economic development. …”
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Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online by Eldon D. Lehmann, Dennis K. DeWolf, Christopher A. Novotny, Karen Reed, Robert R. Gotwals

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Biosynthesis and functions of triterpenoids in cereals by Jiaojiao Lu, Shan Yan, Zheyong Xue

“…Triterpenoid-modifying enzymes exhibit specificity towards catalytic sites within triterpenoid skeletons, generating a diverse array of functional triterpenoid derivatives. …”
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Nighttime foggy image generation algorithm based on semi-analytic model by GUO Fan, LIU Wentao, YANG Jianan, TANG Jin

“…Finally, the atmospheric modulation function and the point spread function were used to further simulate the halo effect of the artificial light source, and the final generation effect can be obtained. …”
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Generation of Zebrafish Maternal Mutants via Oocyte-Specific Knockout System by Chong Zhang, Wenlu Wei, Tong Lu, Yizhuang Zhang, Jiaguang Li, Jiasheng Wang, Aijun Chen, Fenfen Wen, Ming Shao

“…Generation and analysis of the maternal mutant is the most direct way to characterize the maternal function of the specific gene. …”
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"Energetics of the outer retina I: Estimates of nutrient exchange and ATP generation". by Stella Prins, Christina Kiel, Alexander J E Foss, Moussa A Zouache, Philip J Luthert

“…Motivated by the ambition to understand the constraints under which PRs function, in this study we have drawn together diverse physiological and anatomical data in order to generate estimates of the rates of ATP production per mm2 of retinal surface area. …”
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Super-resolution reconstruction of mine image based on generative adversarial network by Fan ZHANG, Ying LIU, Hui SONG, Jiarong ZHANG, Haixing CHENG

“…Aiming at the degradation phenomenon of mine images, in order to improve the resolution of mine images, a super-resolution reconstruction method mine image based on generative adversarial network is proposed. Based on SRGAN, this method improves the network structure and loss function. …”
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More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality by Amit Baumel

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Rapid and reproducible generation of glioblastoma spheroids for high-throughput drug screening by Christian Bach, Annegret Glasow, Rainer Baran-Schmidt, Henry Oppermann, Christoph Bach, Jürgen Meixensberger, Erdem Güresir, Frank Gaunitz

“…We then determined the spheroid size as a function of the initial cell number and the culture time. …”
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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…The superior performance and stability of the proposed algorithm compared to other algorithms are captured by our empirical results. More intuitively, the strategies under different intents exhibit strong interpretability and flexibility, which can provide tactical support for intelligent decision-making in air combat.…”
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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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