Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault by Shengchao Zhou, Zhou Lin

“…This study aims to develop a more objective and accurate method for identifying faulted landforms and measuring offsets. …”
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MODELING OF DEEP CURRENTS IN THE JAPAN SEA: RELATIONSHIP WITH THE CURRENTS IN THE THERMOCLINE LAYER by O. O. Trusenkova

“…Geostrophic deep circulation in the Japan Sea is modeled using the primitive equation multilayer model developed by N.B. Shapiro and E.M. Mikhaylova (Marine Hydrophysical Istitute, RAS). …”
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ARCHITECTURE OF MODERN SYSTEMS OF MANAGING A SCIENTIFIC EXPERIMENT IN THE FIELD OF BIG DATA PROCESSING by Anastasiia Y. Kaida, Aleksei O. Savelev

“…One of the key challenges is to generalize those EMS systems that have arisen and changed as related technologies have developed, while, at the moment, there is no single design pattern for such systems due to the features of each specific project for which such a system is created. …”
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Spatial networks reveal how forest cover decreases the spread of agricultural pests by Débora C. Rother, Leandro G. Cosmo, Julia Tavella, Fredric M. Windsor, Mariano Devoto, Darren M. Evans, Paulo R. Guimarães Jr.

“…A next step in understanding the role of habitat heterogeneity in affecting pest spread is to understand how landscape features directly and indirectly affect spatial infestation patterns. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…This neural network automatically and through unsupervised learning identifies patterns, complex structures, and high-level features of the input data. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). …”
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Theoretical Study and Application of Rate Transient Analysis on Complex Fractured-Caved Carbonate Reservoirs by Qingyan Yu, Qi Wang, Pengcheng Liu, Jing Zhang, Qi Zhang, Xiaojuan Deng, Kai Feng

“…Carbonate reservoirs are mainly fractured-caved reservoirs with very well-developed dissolved pores, fractures, and caves. They have strong heterogeneity with various types of reservoir pore spaces. …”
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Sepsis like a severe complication of autoimmune liver disease in gastroenterological patients by A. A. Yakushev, I. G. Fedorov, L. Yu. Ilchenko, S. S. Shmycova, S. A. Rautbard, S. U. Orlov, I. G. Nikitin, A. V. Salicov

“…In article we present particular qualities of disease pattern and methods of treatment in patients with ulcer colitis associated with primary sclerosing cholangitis and autoimmune hepatitis. …”
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Exploring the relationship between characteristics of forest stands and the behaviour of Lymantria dispar (Lepidoptera: Erebidae) from a temporal and spatial perspective by Flavius BĂLĂCENOIU, Dragoș TOMA, Constantin NEȚOIU

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Promotion or inhibition? Exploring the influence of the digital economy on urban-rural integration: A case study of yellow River basin by Mingxi Zhou, Fuyou Guo, Yongsheng Sun, Jiamin Ren, Xuebo Zhang

“…The findings reveal the following: 1) The degree of digital economy and urban-rural integration display a characteristic pattern resembling that of a downstream > midstream > upstream watershed, showcasing discernible spatial correlation features between them. 2) The digital economy in the Yellow River Basin directly fosters urban-rural integration development. …”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…ResNet, noted for its deep residual learning capabilities, significantly enhances the classifier’s proficiency in identifying intricate patterns and features from high-resolution images. …”
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JAMES BOND AND STIERLITZ IN THE CONTEXT OF “PERSONAL HISTORY” by Dar`ya A. Holub

“…The special understanding of the myth with its historical features, which has been developed in the literature by the end of the 20th century, with the obligatory coverage of the repetitive patterns in the life of mankind is emphasized. …”
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Effects of Perforated Plates on Shock Structure Alteration for NACA0012 Cascade Configurations by Mihnea Gall, Oana Dumitrescu, Valeriu Drăgan, Daniel-Eugeniu Crunțeanu

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Trispecific SEED antibodies engineered for neutrophil-mediated cell killing by Veronica Natale, Gergely Heves, Katharina Stadlbauer, Florian Rüker, Vanessa Siegmund, Lukas Pekar, Stefan Zielonka, Lars Toleikis, Stefan Becker, Gordana Wozniak-Knopp

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Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer by Ping’an Ding, Haotian Wu, Jiaxiang Wu, Tongkun Li, Renjun Gu, Lilong Zhang, Xiaoman Niu, Jinchen He, Jiaxuan Yang, Peigang Yang, Honghai Guo, Yuan Tian, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.836 in training and 0.882 in validation. …”
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Flexible Learning by Design: Enhancing Faculty Digital Competence and Engagement Through the FLeD Project by Ana Afonso, Lina Morgado, Ingrid Noguera, Paloma Sepúlveda-Parrini, Davinia Hernandez-Leo, Shata N. Alkhasawneh, Maria João Spilker, Isabel Cristina Carvalho

“…Teacher participants co-designed and implemented flexible learning scenarios using the FLeD tool, which integrates pedagogical patterns, scaffolding strategies, and playful features. …”
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Pressurized Contrast‐Related Posterior Reversible Encephalopathy Syndrome After Cerebral Digital Subtraction Angiography by Lea Scherschinski, Tyler D. Schriber, Stefan W. Koester, Adam T. Eberle, Joshua S. Catapano, Ethan A. Winkler, Felipe C. Albuquerque, Michael T. Lawton, Andrew F. Ducruet, Ruchira M. Jha, Ashutosh P. Jadhav

“…Awareness of risk factors, pathophysiology, and clinical and radiographic patterns is crucial for accurate diagnosis.…”
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Nickel Ion Induced Multistage Assembly of Th13 Cluster by Kong-Qiu Hu, Jun-Xi Wang, Qun-Yan Wu, Zhi-Wei Huang, Zhi-Heng Zhou, Jin-Dong Wang, Xiao-Bo Li, Ji-Pan Yu, Zhi-Hui Zhang, Lei Mei, Yong-De Yan, Wei-Qun Shi

“…However, the actinide clusters still remain much less developed compared to the splendid and systematic works of other members of this family. …”
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Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas, Dimitrios Tzetzis

“…Quasi-static compression testing was carried out in conjunction with finite element analysis (FEA) to investigate the deformation patterns and stress dispersion of the models. The biomimetic ribbed dome appears to significantly dampen the snap-through behavior that is observed in typical solid and lattice domes, decreasing dynamic stresses developed during the response and preventing catastrophic failure of the structure. …”
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