The structure of forest vegetation on industrial landfills of different ages by Elena Gorozhanina, Dmitry Gura, Patryk Sitkiewicz, Tatyana Degtyarevskaya

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Research on solder layer void evolution mechanism for IGBT module of electric locomotive in service by LI Hanrui, LAI Wei, LI Hui, YAO Ran, YU Kai, AN Junpeng

“…Finally, the relationship among void distribution, size and evolution rate was generated according to the energy-based fatigue lifetime model, which provided a basis for guiding optimal design and active maintenance of the devices.…”
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Control of contour evolution, burn rate variation, and reaction channel formation in coal gasification by Roman Dychkovskyi, Volodymyr Falshtynskyi, Pavlo Saik, Vasyl Lozynskyi, Dariusz Sala, Łukasz Hankus, Małgorzata Magdziarczyk, Adam Smoliński

“…Utilizing an underground gas generator within a coal-rock mass, the study employs a hydrofracture profile model to analyze key parameters. …”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…The study of the evolution of works on USVs was carried out based on the results of the meta-analysis generated with the Bibliometrix tool. …”
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Next generation High-Mobility 2D chalcogenides TFT for display backplane by Prashant Bisht, Junoh Shim, Jooon Oh, Jieun Lee, Hoseong Shin, Hyeonho Jeong, Jimin Kim, Junho Lee, Hyuk-Jun Kwon, Sunkook Kim

“…The evolution of display backplane technologies has been driven by the relentless pursuit of higher form factor and superior performance coupled with lower power consumption. …”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…To address these challenges, this study develops a deep learning model based on an adaptive moment estimation optimized convolutional long short-term memory neural network (Adam-ConvLSTM) to predict the evolution of rock fractures. …”
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Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

“…Initially, a priori statistical analysis of the dataset is conducted to harness color distribution information for noise generation. Subsequently, a novel generator and mask module are engineered to produce optimized feature outputs. …”
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Analysis of different genotyping and selection strategies in laying hen breeding programs by Lisa Büttgen, Henner Simianer, Torsten Pook

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Optimization of LDPC Codes over the Underwater Acoustic Channel by Shengxing Liu, Aijun Song

“…Furthermore, using differential evolution technique, we develop an EXIT-aided method to optimize LDPC codes for the underwater acoustic channel. …”
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Generation and Balancing Capacity in Future Electric Power Systems-Scenario Analysis Using Bayesian Networks by Seppo Borenius, Pekka Kekolahti, Petri Mahonen, Matti Lehtonen

“…The primary contribution of this paper is the development of an extensive Bayesian Network, designed to model and analyze the evolution of power generation capacity mix, assess the likelihood of different grid management scenarios, and understand the causal relationships underlying these scenarios. …”
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Study on the Disturbed Mechanical Behavior and Energy Evolution Characteristics of Deep Roof Rock Considering Spatio-Temporal Effects by WANG man, ZHANG Yang, XIE Jing, NIU Zehua, DENG Huchao, YANG Bengao, ZHAO Lijuan, D ING Xiaogang, GAO Mingzhong

“…The unloading disturbance stress generated by the mining process of target coal seam in the lateral dimension is generalized as an increase in axial compression and a decrease in confining pressure, and the difference in stress path of different disturbance areas is achieved by changing the amplitude of the confining pressure reduction. …”
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Synergistic evolution of dual-precipitation and reverted austenite on mechanical properties in 2.4 GPa ultrahigh strength steel by Aijun Li, Yangxin Wang, Xinyu Jin, Jiaxin Liu, Chundong Hu, Han Dong

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Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema by S. A. Semenyuk, Ya. M. Chabanyuk

“…The stochastic evolutionary system perturbed by the compensated Poisson process with an additional jump size function is described. We build the generator for an evolution process and investigate its asymptotic properties. …”
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The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges by Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez

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From Generative Artificial Intelligence to Artificial General Intelligence: Enabling Innovation Models in Library Knowledge Services by Mo LI, Bin YANG

“…[Method/Process] Based on the classification of the development history of AI, this article examines the state of research in AI for library knowledge services from the dynamic perspective of the evolution from generative AI to artificial general intelligence. …”
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Per aspera ad astra: When harmful chromosomal translocations become a plus value in genetic evolution. Lessons from Saccharomyces cerevisiae by Valentina Tosato, Carlo V. Bruschi

“…Many wild type strains naturally develop chromosomal rearrangements while adapting to different environmental conditions. Translocations, in particular, are valuable not only because they naturally drive species evolution, but because they might allow the artificial generation of new strains that can be optimized for industrial purposes. …”
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Comparative Effects of Intermittent vs. Constant Ceftiofur Hydrochloride Exposure on <i>Staphylococcus aureus</i> In Vitro by Junli Wang, Chongyang Li, Fanxi Guo, Zugong Yu

“…This study aims to explore how different concentrations, durations, and dosing frequencies affect susceptibility and bactericidal efficacy of <i>Staphylococcus aureus</i> to optimize CEF dosage regimens. …”
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Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…The influence of overlap integrals, output mirror reflectivity, and active fiber length on laser performance is investigated. The optimization criteria based on the different robust configurations of laser cavities are found which predict the slope efficiencies higher than half of the Stokes limit.…”
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Gut Microbiome-Host Genetics Co-Evolution Shapes Adiposity by Modulating Energy and Lipid Metabolism in Selectively Bred Broiler Chickens by Guangqi Gao, Yangbo Jiao, Lai-Yu Kwok, Zhi Zhong

“…We compared the gut microbiome composition and host whole-genome profiles between fat-line and lean-line broiler chickens that had been selectively bred for divergent abdominal fat levels over 15 generations. Despite identical dietary and environmental conditions, the two chicken lines exhibited significant differences in their gut microbiota. …”
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review by Fan YUAN, Jia LI

“…By systematically examining the opportunities, challenges, and development trajectories of generative AI, this study provides valuable insights for libraries and educational institutions seeking to optimize their IL programs in the AI era. …”
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