INNOVATIVE METHODS OF TEACHING HISTORY AT MODERN UNIVERSITIES by A. Yu. Suslov, M. V. Salimgareev, Sh. S. Khammatov

“…A modern view on historical education has been proposed as means of students’ systems thinking formation, designing the ideas about the world historical process among students, the mission ofRussia in this process, and evolution ofRussia as a part of the modern civilization. …”
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INTERACTIONS BETWEEN GABBROID AND GRANITOID MAGMAS DURING FORMATION OF THE PREOBRAZHENSKY INTRUSION, EAST KAZAKHSTAN by S. V. Khromykh, G. N. Burmakina, A. A. Tsygankov, P. D. Kotler, A. G. Vladimirov

“…Porphyric granosyenites, com‐ bining the features of both granites and monzodiorites, are also involved in mingling. …”
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Development and Assessment of a Multiple-Analysis System for Diagnosing Malaria and Other Blood Parasite Infections in Humans and Non-Human Primates by Ángela Ceballos-Caro, Víctor Antón-Berenguer, Marta Lanza, Justinn Renelies-Hamilton, Amanda Barciela, Pamela C. Köster, David Carmena, María Flores-Chávez, Emeline Chanove, José Miguel Rubio

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Petrogenesis of late Ordovician high Ba–Sr quartz diorite in the northern Qinling orogeny and its geological implications by Biao Du, Biao Du, Duanchang Zhao, Duanchang Zhao, Yafeng Zhang, Yafeng Zhang, Zhenkai Zhang, Xing Wang, Xing Wang, Wujie Li, Wujie Li, Zilong Wang, Zilong Wang

“…The quartz diorite showed high Ba (357–886 ppm) and Sr (198–382 ppm) contents, consistent with the features of high Ba–Sr magmatic rocks. The high Ba–Sr quartz diorite samples showed high SiO2 and MgO contents of 58.26%–63.49% and 2.45%–3.20%, respectively, and possessed large FeOt/MgO ratios ranging from 1.71 to 2.02. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. The XGBoost algorithm enabled the rigorous quantification of the governing geometric features of compressive capacity, culminating in a computational framework for the bearing capacity factor (<i>N</i>_q) and lateral earth pressure coefficient (<i>K</i>_u). …”
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Spontaneous recanalization following subtotal proximal LAD occlusion: a case report by Pedro Pallangyo, Smita V. Bhalia, George Longopa, Happiness L. Kusima, Henry A. Mayala, Zabella S. Mkojera, Makrina Komba, Peter R. Kisenge

“…Cardiac markers were found to be elevated, while electrocardiographic and echocardiographic evaluation revealed features in keeping with anterior wall myocardial infarction. …”
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The Relevance of Sex and Age as Non-Modifiable Risk Factors in Relation to Clinical-Pathological Parameters in Colorectal Cancer by Robert Barna, Alis Dema, Aura Jurescu, Adrian Ovidiu Văduva, Dorela-Codruța Lăzureanu, Octavia Vița, Bianca Natarâș, Ioana Hurmuz, Adelina Vidac, Sorina Tăban, Sorin Dema

“…In terms of patient age, the young population exhibits clinical features of aggressive evolution. Patient sex did not influence the analyzed parameters, except for tumor location, where right colon tumors are slightly more common in females.…”
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The role of JPT1 in hepatocellular carcinoma: tumor progression, microtubule dynamics regulation, and potential mechanisms within the immune microenvironment by Yipin Lu, Peng Xu, Sha Li, Jie Yao

“…JPT1 likely contributes to the malignant evolution of HCC by modulating tumor metabolism, cell cycle regulation, and the immune microenvironment. …”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

“…<italic>Methods:</italic> In this paper, we demonstrate how mechanistic virtual patient (VP) modeling can be used to capture specific features of patients&#x2019; states and dynamics, while reducing biases introduced by heterogeneous datasets. …”
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Femtosecond laser shock peening of ultra-thin-walled Ti-6Al-4V: study on surface integrity and high cycle fatigue mechanism by Rongping Wang, Xinbin Zhang, Peng He, Wenhe Wang, Wenhua Chen, Xiaolong Wei, Xinlei Pan, Liucheng Zhou

“…The uniform stress field induced by FLSP promoted crack initiation in the subsurface layer, and the multi-scale fracture features formed by FS-3 effectively reduced crack propagation and enhanced energy dissipation, further improving fatigue resistance. …”
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Identification and validation of a lenvatinib resistance-related prognostic signature in HCC, in which PFKFB4 contributes to tumor progression and lenvatinib resistance by Jinfeng Wang, Jianfei Shi, Lili Mi, Ning Li, Xin Han, Man Zhao, Xiaoling Duan, Guangjie Han, Jiaojiao Hou, Fei Yin

“…Abstract Background Drug resistance reflects the evolution of tumors and represents the leading factor behind recurrence and death. …”
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Strain rate sensitivity of TC4 alloy sheet under electrically-assisted tension: Mechanical responses and electroplastic mechanisms by Si-liang Yan, Lan-qing Yang, Lei Hu, Xiao-li Zhang, Wen-yao Wang, Ping Li, Miao Meng

“…Dynamic strain aging (DSA), electrically-induced dynamic recrystallization (DRX), slight α→β phase transformation and grain boundary deformation coordination under “hot spots” and charge imbalance effects are the featured microstructure evolution phenomena in quasi-static EA tension. …”
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Most of the world's largest flowers (genus Rafflesia) are now on the brink of extinction by Pastor Malabrigo Jr., Adriane B. Tobias, Joko Witono, Sofi Mursidawati, Agus Susatya, Mat Yunoh Siti‐Munirah, Adhityo Wicaksono, Reza Raihandhany, Sarah Edwards, Chris J. Thorogood

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Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications by Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Iuliu Fulga, Mihaela Anghele, Cristina-Mihaela Popescu

“…A neural network model was developed to analyze various socio-demographic and paraclinical data. Key features included patient demographics, laboratory investigations, and clinical outcomes. …”
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The bidirectional selection and shared adaptation mechanisms of tumor organ-specific metastasis by WANG Xing, XIAO Ruiling, BAI Jialu, JIANG Decheng, ZHOU Feihan, LUO Xiyuan, TANG Yuemeng, ZHAO Yupei

“…These interactions determine the selectivity of metastatic spread and drive the adaptive evolution of both the tumor and the organ, which encompasses multiple layers of cellular interactions, including cell-cell and cell-matrix signaling. …”
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FORMATION OF CORPORATE CULTURE OF OFFICERS: FOREIGN EXPERIENC by Seliuk Volodymyr

“…Therefore, national traditions and certain features inherent in national armies determine the rules that shape corporate culture. …”
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Research on the elastoplastic localized damage constitutive model of raw coal by Susheng WANG, Shengqi YANG, Qiang ZHANG, Zhennan ZHU

“…The proposed constitutive model effectively captures the main mechanical features of localized deformation and failure of the raw coal. …”
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COZMIC. III. Cosmological Zoom-in Simulations of Self-interacting Dark Matter with Suppressed Initial Conditions by Ethan O. Nadler, Rui An, Daneng Yang, Hai-Bo Yu, Andrew Benson, Vera Gluscevic

“…We consider a model featuring a massive dark photon that mediates DM self-interactions and decays into massless dark fermions. …”
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Rsp5-mediated ubiquitination of a functional analog of the Rim8 arrestin facilitates Rim pathway activation in Cryptococcus neoformans by Lukas M. du Plooy, Corinna Probst, Matthew E. Capobianco, Charles Giamberardino, Claudia A. Petrucco, J. Andrew Alspaugh

“…There is evidence for convergent evolution in this pathway between ascomycetes and basidiomycetes, evident through the functionally converged, but sequence-dissimilar, sensing proteins found in these two fungal groups. …”
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UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

“…In contrast, deep learning-based models excel at capturing intricate relationships between spectral and spatial features, significantly boosting classification accuracy and emerging as the dominant paradigm in the field. …”
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