Share on vk Share on google_plusone_share Share on twitter Share on email More Sharing Services Zonality of schorls from pegmatite veins of the Turkestan Range (Kyrgyzstan) by V.K. Gerasimov, L.A. Sergeeva, O.N. Lopatin, A.V. Mukhametshin

“…The informative character of the changes in the crystallochemical features of tourmalines in the genetic aspects of the evolution and formation of the pegmatite complexes of the Turkestan Range in the southwestern Tien Shan has been shown.…”
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Two-tier classification framework for mapping grassland types using multisource earth observation data by Min Zhang, Wenzheng Yu, Ang Chen, Cong Xu, Jian Guo, Xiaoyu Xing, Dong Yang, Zichao Wang, Xiuchun Yang

“…This framework was structured into two tiers: land cover (LC) classification and grassland-type mapping, with each tier using specific features tailored to its respective objectives. In this framework, LC samples were automatically generated using existing LC products combined with vegetation indices and phenological features. …”
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Évolutions de l’Intelligence Artificielle : quels enjeux pour l’activité humaine et la relation Humain‑Machine au travail ? by Moustafa Zouinar

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EccDNA atlas in male mice reveals features protecting genes against transcription-induced eccDNA formation by Xue Liang, Gerard Arrey, Yating Qin, Lucía Álvarez-González, Judith Mary Hariprakash, Jie Ma, Sylvester Holt, Peng Han, Yonglun Luo, Hanbo Li, Aurora Ruiz-Herrera, Henriette Pilegaard, Birgitte Regenberg

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Évolution d’un îlot urbain du xiiie au xviie siècle, Quimper, Collège de la Tour d’Auvergne (Finistère) by Françoise Le Boulanger

“…The spatial and chronological evolution of this 960 m2 area has been retraced. It is characterised by three main occupation phases. …”
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Phylogenetic and evolutionary insights from 30 newly-assembled Onygenales Mitochondrial Genomes: co-evolution of introns and HEGs shapes mitogenome size variation by Héctor Antônio Assunção Romão, Thalison Rodrigues Moreira, Leonardo Carlos Jeronimo Corvalán, Amanda Alves de Melo-Ximenes, Alexandre Melo Bailão, Clayton Luiz Borges, Renata de Oliveira Dias, Rhewter Nunes

“…Mitochondrial genomes (mtDNA) provide valuable resources for investigating fungal evolution; however, comprehensive mitogenomic datasets for Onygenales are still scarce. …”
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Lexibank 2: pre-computed features for large-scale lexical data [version 1; peer review: 3 approved] by Robert Forkel, Christoph Rzymski, Frederic Blum, Carlos Barrientos, Johann-Mattis List, Simon J. Greenhill, Johannes Englisch

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Lexibank 2: pre-computed features for large-scale lexical data [version 2; peer review: 3 approved] by Robert Forkel, Christoph Rzymski, Frederic Blum, Carlos Barrientos, Johann-Mattis List, Simon J. Greenhill, Johannes Englisch

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Rapid change in Chernozem properties during their Holocene evolution: a case study of paleosols buried under kurgans in the pre-Ural steppe, Russia by Olga Khokhlova

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A Systematic Review of Literature on the Use of Extended Reality in Logistics and Supply Chain Management Education: Evolution of Research Themes and System-Level Trends by Xiaonan Zhu, Po-Lin Lai, Xinjie Li, Yaoyan Wang, Xi Pei

“…A temporal analysis reveals a three-phase evolution: exploratory (2009–2013), applied implementation (2016–2020), and integrative innovation (2021–2024). …”
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Nonlinear Fractional Evolution Control Modeling via Power Non-Local Kernels: A Generalization of Caputo–Fabrizio, Atangana–Baleanu, and Hattaf Derivatives by F. Gassem, Mohammed Almalahi, Osman Osman, Blgys Muflh, Khaled Aldwoah, Alwaleed Kamel, Nidal Eljaneid

“…It uniquely features a tunable power parameter “<i>p</i>”, providing enhanced control over the representation of memory effects compared to traditional derivatives with fixed kernels. …”
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Structure, evolution, and roles of MYB transcription factors proteins in secondary metabolite biosynthetic pathways and abiotic stresses responses in plants: a comprehensive review by Ziming Ma, Ziming Ma, Lanjuan Hu, Yu Zhong

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Information Entropy and Its Periodic Features in Hermite–Gaussian Correlated Schell-Model Beams in a Gradient-Index Fiber by Jiayi Yu, Jifei Huang, Ruilin Liu, Jidong Wu, Xiaofeng Peng, Yangjian Cai, Xinlei Zhu

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Damage features and dynamic triggering mechanism of the Jianshanying landslide induced by underground mining in Shuicheng County, Guizhou Province, China by Chen Xiong, Qiang Wu, Fangpeng Cui, Wei Luo, Haowen Li, Hongze Chen

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Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry by Srijita Chandra, Guilherme Cezar, Kinath Rupasinghe, Edison Magalhães, Gustavo S. Silva, Marcelo Almeida, Bret Crim, Eric Burrough, Phillip Gauger, Darin Madson, Joseph Thomas, Michael Zeller, Jianqiang Zhang, Rodger Main, Albert Rovira, Mary Thurn, Paulo Lages, Cesar Corzo, Matthew Sturos, Kimberly VanderWaal, Hemant Naikare, Franco Matias-Ferreyra, Rob McGaughey, Jamie Retallick, Sara McReynolds, Sara McReynolds, Jordan Gebhardt, Angela Pillatzki, Jon Greseth, Darren Kersey, Travis Clement, Jane Christopher-Hennings, Beth Thompson, Beth Thompson, Jonah Perkins, Melanie Prarat, Dennis Summers, Craig Bowen, Joseph Boyle, Kenitra Hendrix, James Lyons, Kelli Werling, Andreia G. Arruda, Mark Schwartz, Mark Schwartz, Paul Yeske, Deborah Murray, Brigitte Mason, Peter Schneider, Samuel Copeland, Luc Dufresne, Daniel Boykin, Corrine Fruge, William Hollis, Rebecca Robbins, Thomas Petznick, Kurt Kuecker, Lauren Glowzenski, Megan Niederwerder, Xiaoqiu Huang, Daniel C. L. Linhares, Giovani Trevisan

“…Despite advances in diagnostic testing, there remains a gap in understanding the genetic evolution of PRRSV, especially in tracking the emergence of novel sequences and their spread across different regions and production stages. …”
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Japanese ‘Scientific Diaspora’ in 21st Century: Features of Self-Organization and State Policy towards Japanese Researchers Overseas by V. A. Mozebakh, R. O. Reinhardt

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Morphological features and composition of noble metal minerals in disseminated and massive ores of the central part of the Oktyabrskoe deposit, Norilsk region by L. S. Canhimbue, N. D. Tolstykh, N. А. Krivolutskaya, I. V. Talovina

“…In the central part of the Oktyabrskoe deposit, the composition of NMM and their occurrence forms differ significantly depending of the type of sulfide ores and reflecting the genetic features of their mineralization. Differences in NMM paragenesis indicate a separate, independent evolution of each type of disseminated and massive ores under different conditions. …”
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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…Salmonella presence was also reported with PCR-confirmed method in data set. Features were selected by using binary meta-heuristic optimization methods including differential evolution optimization (DEO), grey wolf optimization (GWO), Harris hawks optimization (HHO) and particle swarm optimization (PSO). …”
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Petrology, Geochemistry and Tectonomagmatic Evolution of Hezar Igneous Complex (Rayen- South of Kerman- Iran): the First Description of an Arc Remnant of the Neotethyan Subduction... by M. Noorizadeh, A. Moradian, H. Ahmadipour, M. R. Ghassemi, J. F. Santos

“…The Hezar Igneous Complex (HIC) in the south-eastern part of Urumieh-Dokhtar magmatic arc, is the most prominent magmatic feature in the Kerman Porphyry Copper Belt, that understanding magmatic evolution of which may shed light on the tectonomagmatic development of this less-studied part of an important magmatic arc in the Neotethys realm. …”
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Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information by Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe

“…Abstract Predicting the evolution of white matter hyperintensities (WMH), a common feature in brain magnetic resonance imaging (MRI) scans of older adults (i.e., whether WMH will grow, remain stable, or shrink with time) is important for personalised therapeutic interventions. …”
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