Wolverines on the Move: A Multi‐Scale Analysis of Forest and Landscape Factors Influencing Wolverine Occurrence in Finland by Pinja‐Emilia Lämsä, Audrey Mercier, Andreas Lindén, Aarne Hovi, Miina Rautiainen

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Study on the Genetic Diversity Characteristics of the Endemic Plant Rhododendron bailiense in Guizhou, China Based on SNP Molecular Markers by Jun Luo, Congjun Yuan, Haodong Wang, Jianhua Zhang, Jin Chen, Shuang He, Meng Chen, Xiaoyong Dai, Dali Luo

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Niche modelling and landscape genetics of the yellow‐legged hornet (Vespa velutina): An integrative approach for evaluating central–marginal population dynamics in Europe by Cayetano Herrera, M. Alice Pinto, Mar Leza, Iris Alemany, José A. Jurado‐Rivera

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The Multi‐Functional Use of Large Tree Cavities by Arboreal Vertebrates in a Temperate Broadleaved Forest of Eastern Europe by Yehor Yatsiuk

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Development of a Genotyping‐in‐Thousands by Sequencing (GT‐Seq) Panel for Identifying Individuals and Estimating Relatedness Among Alaska Black Bears (Ursus americanus) by Eleni L. Petrou, Colette D. Brandt, Timothy J. Spivey, Kristen M. Gruenthal, Cherie M. McKeeman, Sean D. Farley, David Battle, Cory Stantorf, Andrew M. Ramey

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Population Dynamics of Ervilia castanea (Montagu, 1803) Hints at Evolutionary Processes Shaping North‐East Atlantic Insular Sandy Habitats by Livia Sinigaglia, Lara Baptista, Manuel Curto, António Múrias Santos, Patrícia Madeira, Thapasya Vijayan, Harald Meimberg, Sérgio P. Ávila

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Tree Invasions of Subarctic Shrublands Interact With Locally Augmented Snow and Functional Soil Depths: A Case Study in Denali National Park by Johanne O. Albrigtsen, Sarah E. Stehn, Carl Roland, Scott T. Allen

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Evidence for High Levels of Gene Flow in Hedgehogs (Erinaceus europaeus) Across South Wales, UK, Despite Potential Anthropogenic and Natural Barriers to Dispersal by Samantha L. Shove, Lilith Zecherle Bitton, Simon Allen, Gabrielle M. K. Howell, Hazel J. Nichols

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Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model by Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao

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Structural analysis of $$\hbox{Sn}$$ on $${\hbox{Au}(111)}$$ at low coverages: Towards the $${\hbox {Au}_{2}\hbox {Sn}}$$ surface alloy with alternating fcc and hcp domains by Julian A. Hochhaus, Stefanie Hilgers, Marie Schmitz, Lukas Kesper, Ulf Berges, Carsten Westphal

“…Abstract We report on the structural and chemical evolution of submonolayer $$\hbox{Sn}$$ on $${\hbox{Au}(111)}$$ up to the formation of the striped $${\hbox {Au}_{2}\hbox {Sn}}$$ surface alloy. …”
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Information Characteristics, Processes, and Mechanisms of Self-Organization Evolution by Kun Wu, Qiong Nan

“…The convergence process of forming system elements is the initial exploration of forming a new information model; the nucleation process of some initial stabilization modes is the creation of information codons; the development of the system according to a particular pattern is ergodic construction of information feedback chain indicated by information codon; the diffusion of system self-replication is the expansion of the quantity of the information model; the variation in system self-replication is the innovation process of introducing new information pattern; environment-based selection and evolution correspond to the complex development of information pattern; and the alternation of old and new structures in system evolution corresponds to the formation process of the whole information network framework of the new system. …”
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Glial Diversity and Evolution: Insights from Teleost Fish by Carla Lucini, Claudia Gatta

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Syntax and metrical evolution in the medieval English Alliterative tradition by DAVID O’NEIL

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The Evolution of the Strategies of Innovation Cooperation in Scale-Free Network by Bing Zhu, Wenping Wang

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Evolution of tribo-magnetization during sliding of ferromagnetic materials by Fumin Gao, Laibin Zhang, Jin Zhou, Yi Xiong, Jing Wu, Jianchun Fan

“…Abstract Sliding-induced subsurface microstructure evolution is believed to be decisive for determining the friction and wear performance of metallic contacts as well as the development of tribo-magnetization. …”
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Contrasting effects of agriculture and urbanisation on bird and reptile communities in a Mediterranean delta (Gediz Delta, Türkiye) by Dilara Arslan, Elie Gaget, Kerim Çiçek, Anthony Olivier, Thomas Galewski, Ömer Döndüren, Anis Guelmami, Lisa Ernoul, Arnaud Béchet

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Unraveling the Kinematic and Morphological Evolution of the Small Magellanic Cloud by S. R. Dhanush, A. Subramaniam, S. Subramanian

“…This analysis is carried out using a robust Markov Chain Monte Carlo method, to derive up to seven kinematic parameters. We trace the evolution from a nonrotating flattened elliptical system, as mapped by the old population, to a rotating highly stretched disk structure, as denoted by the young MS stars and clusters (<400 Myr). …”
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Molecular evolution of enzymes involved in the arachidonic acid cascade by Hiroyuki Toh, Yoshihiro Urade, Tadashi Tanabe

“…Sequence comparison analyses of the accumulated sequence data have brought great insights into the structure, function and molecular evolution of the enzymes. …”
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Evolution of dislocations during the rapid solidification in additive manufacturing by Lin Gao, Yan Chen, Xuan Zhang, Sean R. Agnew, Andrew C. Chuang, Tao Sun

“…Abstract Materials processed by fusion-based additive manufacturing (AM) typically exhibit relatively high dislocation densities, along with cellular structures and elemental segregation. This representative structural feature significantly influences material performance; however, post-mortem microstructure characterizations of AM materials cannot capture the dynamic evolution of dislocations during the manufacturing process, thereby offering limited mechanism-based guidance for further advancing AM techniques and facilitating the qualification and certification of AM products. …”
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Noisy deep networks: chaos, multistationarity, and eternal evolution by S A Vakulenko, I Sudakow

“…These networks resemble real-world topologies, with strongly connected hubs (centers) and weakly connected nodes (satellites). Under natural structural assumptions, we develop a mean-field approach that reduces network dynamics to the central nodes alone. …”
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