Les changements hydromorphologiques de l’estuaire de la Loire et l’évolution du port de Rezé/Ratiatum (Loire-Atlantique) by Rémy Arthuis

“…Many of the geomorphological features present in the Loire Valley, between the Roman port of Nantes/Condevicnum (Loire-Atlantique) on the right bank and that of Rezé/Ratiatum (Loire-Atlantique) on the left bank, appeared gradually between 5700 and 4500 BP, during the final Neolithic period. …”
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In evolution’s unending race: ancestral STING sensors in Salmo salar mediate intracellular bacterial detection and programmed cell death through evolutionarily conserved pathways by Alejandro J. Yañez, Alejandro J. Yañez, Alejandro J. Yañez, Alejandro J. Yañez, Jorge F. Beltrán, Claudia A. Barrientos, Genaro Soto-Rauch, Marcelo Aguilar, Marcelo Aguilar, Adolfo Isla, Adolfo Isla, Adolfo Isla, Sandra N. Flores-Martin, Francisco T. Yañez, Yassef Yuivar, Adriana Ojeda, Felipe Almendras, Patricio Bustos, Marcos Mancilla

“…Introduction“In evolution’s unending race, survival demands continuous adaptation— to stop is to fall behind.” …”
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A high-resolution temperature–salinity dataset observed by autonomous underwater vehicles for the evolution of mesoscale eddies and associated submesoscale processes in the South... by C. Qiu, C. Qiu, Z. Du, Z. Du, H. Tang, H. Tang, Z. Yi, Z. Yi, J. Qiao, J. Qiao, D. Wang, D. Wang, X. Zhai, W. Wang, W. Wang

“…This dataset offers unprecedented insights into ME evolution life stages, covering the zones of an eddy's birth, propagation, and dissipation. …”
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Parish Clergy and Secular Authorities in the Tobolsk North in 18^th - Early 20th Centuries: Features of Relationships by V. V. Tsys

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Features of management of the education system in the Russian empire in the second half of the XIX – beginning of the XX centuries (on the example of the Caucasus educational distr... by Laura A. Urusmambetova

“…The article identifies features of the education system management in the Russian Empire’s Caucasian Educational District during the late 19th and early 20th centuries. …”
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Historical and Geographical Features of the Development of Types of Economic Regionalization of European Russia in the Late 19th – Early 20th Century by T. Yu. Kondakova

“…The article identifies the features of the formation and evolution of types of economic regionalization during this period based on the analysis of historical statistical sources; a grouping of economic zoning experiences is given: private zoning, complex economic expert zoning, agricultural statistical zoning; for each group, main and auxiliary characteristics and indicators for identifying and defining areas are established; the characteristics of examples of agricultural zoning in chronological order are given in more detail; in private zoning, the division of provinces into districts is considered based on the principles of fertility and the size of the land plot per 1 male soul. …”
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Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features by Guoju Liu, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan, Zheng Ye

“…Therefore, it is of critical significance to reliably predict the evolution of State of Health (SOH) degradation patterns in order to improve the high accuracy and stability of lithium-ion battery SOH prediction. …”
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The Temperature Anisotropy and Helium Abundance Features of Alfvénic Slow Solar Wind Observed by Parker Solar Probe, Helios, and Wind Missions by Jia Huang, Davin E. Larson, Tamar Ervin, Mingzhe Liu, Oscar Ortiz, Mihailo M. Martinović, Zhenguang Huang, Alexandros Chasapis, Xiangning Chu, B. L. Alterman, Zesen Huang, Wenwen Wei, J. L. Verniero, Lan K. Jian, Adam Szabo, Orlando Romeo, Ali Rahmati, Roberto Livi, Phyllis Whittlesey, Samer T. Alnussirat, Justin C. Kasper, Michael Stevens, Stuart D. Bale

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Evolution of microstructure and thermophysical properties of Y2Hf2O7/YAG composite ceramic prepared by solution combustion combined with pressure-less sintering by Shengyue Gu, Rui Li, Yimin Guo, Bei Xue, Qian Zhou, Longkang Cong, Ding Li, Ruimei Yuan

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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning by Junyao Ding, Jianchao Du, Hejie Wang, Song Xiao

“…Many studies have sought to improve model performance through feature selection. However, a single feature selection method has incomplete, unstable, or time-consuming shortcomings. …”
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Identifying Carbon Star Candidates from LAMOST DR11 and SDSS DR18 Based on a Parallel Feature Recognition Method by Lichan Zhou, Jianghui Cai, Haifeng Yang, Ali Luo, Yinbi Li, Chenhui Shi, Boyu Zhang, Jianing Tian, Yinan Yuan, Yuqing Yang

“…Carbon stars are critical for understanding stellar evolution and exploring cosmic chemistry. This paper provides 7809 carbon star candidates identified from the Large-Area Multi-Object Fiber Optic Spectroscopic Telescope (LAMOST) DR11 and Sloan Digital Sky Survey (SDSS) DR18, using a parallel carbon star feature recognition method. …”
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The AURORA Survey: An Extraordinarily Mature, Star-forming Galaxy at z ∼ 7 by Alice E. Shapley, Ryan L. Sanders, Michael W. Topping, Naveen A. Reddy, Anthony J. Pahl, Pascal A. Oesch, Danielle A. Berg, Rychard J. Bouwens, Gabriel Brammer, Adam C. Carnall, Fergus Cullen, Romeel Davé, James S. Dunlop, Richard S. Ellis, N. M. Förster Schreiber, Steven R. Furlanetto, Karl Glazebrook, Garth D. Illingworth, Tucker Jones, Mariska Kriek, Derek J. McLeod, Ross J. McLure, Desika Narayanan, Max Pettini, Daniel Schaerer, Daniel P. Stark, Charles C. Steidel, Mengtao Tang, Leonardo Clarke, Callum T. Donnan, Emily Kehoe

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Characterization of the complete mitochondrial genomes of two sea cucumbers, Deima validum and Oneirophanta mutabilis (Holothuroidea, Synallactida, Deimatidae): Insight into deep-s... by Wendan Mu, Jun Liu, Haibin Zhang

“…Mitochondria plays a key role in energy metabolism and oxygen usage, thus it may undergo adaptive evolution in response to pressures from extreme harsh environments. …”
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Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

“…Notably, DIC and UAV technologies demonstrated superior performance in detecting significant deformation features, aligning closely with field observations. …”
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Electrochemical sensing of benzodiazepines: Tracing the evolution of carbonaceous nano-hybrid materials from 3D to 0D, their integration into smart technologies for real-time monit... by Darshana Chatterjee, Ida Tiwari

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Sequence-lithofacies paleogeographic evolution and its control on deep and ultra-deep reservoir types: A case study of the Permian Maokou Formation in northeastern Sichuan Basin. by Xiandong Wang, Wancang Tan, Peng Lu, Ying Wang, Qiang Li, Liang Zhao, Pengfei Niu, Zhengyi Cang, Bao Gong, Jiagang Shen

“…The Middle Permian Maokou Formation in northeastern Sichuan Basin has been explored with continuous breakthroughs in recent years, but its sequence-lithofacies paleogeographic characteristics and tectonic-sedimentary evolution process are still unclear. Based on outcrops, well logging and seismic data, this paper focuses on the sequence stratigraphic, lithofacies paleogeography and tectonic-sedimentary evolution of the Maokou Formation in northeastern Sichuan Basin. …”
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Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

“…Then the topological features of the network are extracted according to the meta-paths between domain and disease nodes. …”
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A Remaining Useful Life Prediction Method for Rolling Bearings Based on Hierarchical Clustering and Transformer–GRU by Wenping Lei, Xing Dong, Fuyuan Cui, Guangzhong Huang

“…This feature set is then input into a Transformer–GRU model, where the Transformer encoder captures temporal dependencies across time steps to generate rich feature representations, and the GRU network models their dynamic evolution over time to predict the bearing RUL. …”
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Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning by Hongyuan Du, Zhen Cao, Yingjie Song, Jiangbo Peng, Chaobo Yang, Xin Yu

“…This paper presents the flow field reconstruction and prediction of powder fuel transport systems based on representative feature extraction from scattering images using deep learning techniques. …”
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STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

“…The rapid evolution of IoT environment in medical and industrial applications has led to an increase in network vulnerabilities, making an intrusion detection system a critical requirement. …”
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