ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…The solutions of earthquake focal mechanisms suggest the current subhorizontal NW compression in the study area. …”
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Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data by Fangqiao Wei, Zailong Wu, Guanghui Li, Xiangyu Sun, Xiangru Shi, Lei Tan, Tianxiang Ai, Long Qu, Shuguo Zheng

“…Metabolic pathways like geranylgeranyl diphosphate and fructan biosynthesis were enriched in caries, whereas Bifidobacterium shunt and peptidoglycan biosynthesis were depleted. Conclusion The current work provided reliable diagnostic models for early childhood caries, and established a robust computational framework for AI-driven microbiome analysis. …”
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Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions by Mohamed Heshmat, Lyes Saad Saoud, Muayad Abujabal, Atif Sultan, Mahmoud Elmezain, Lakmal Seneviratne, Irfan Hussain

“…Furthermore, we discuss emerging research trends, including the use of transformer-based architectures, multi-modal sensor fusion, lightweight neural networks for real-time deployment, and self-supervised learning techniques. …”
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Progress in phylogenetics, multi-omics and flower coloration studies in Rhododendron by Shuai Nie, Hai-Yao Ma, Tian-Le Shi, Xue-Chan Tian, Yousry A. El-Kassaby, Ilga Porth, Fu-Sheng Yang, Jian-Feng Mao

“…In addition, the application of multi-omics approaches and analysis of gene co-expression networks to elucidate complex gene regulatory mechanisms is emphasized. …”
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Research progress on underground compressed air energy storage based on knowledge graph by Xinbo GE, Jun HUANG, Tongbin ZHAO, Hongling MA, Xilin SHI

“…As such, CAES is a strategic emerging industry that is being vigorously developed in China. Based on the analysis of CAES-related literature from 1985 to 2023 in the CNKI and Web of Science databases, this study utilizes VOSviewer, CiteSpace scientific knowledge mapping software, and Origin software to review the research background of underground CAES and comprehensively analyze its scientific production, research hotspots, and evolutionary trends.The study covers various storage methods, ranging from salt cavern and artificial chamber to abandoned mine, revealing the current development status and future directions of underground CAES. …”
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Renal phenotyping in a hypomorphic murine model of propionic aciduria reveals common pathomechanisms in organic acidurias by Anke Schumann, Ainhoa Martinez-Pizarro, Eva Richard, Christoph Schell, Anna Laura Kössinger, Karina A. Zeyer, Stefan Tholen, Oliver Schilling, Michael Barry, Björn Neubauer, Michael Köttgen, Luciana Hannibal, Lourdes R. Desviat, Ute Spiekerkötter

“…Our investigations revealed altered mitochondrial networks shifted towards fission and a marked reduction of mitophagy. …”
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Nanotherapeutic strategies exploiting biological traits of cancer stem cells by Hongyu Wang, Wenjing Zhang, Yun Sun, Xican Xu, Xiaoyang Chen, Kexu Zhao, Zhao Yang, Huiyu Liu

“…Finally, we present an in-depth analysis of current challenges in translating nanomedicine-based CSC-targeted therapies from bench to bedside, offering critical insights into future research directions and clinical implementation. …”
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Gear Classification in Skating Cross-Country Skiing Using Inertial Sensors and Deep Learning by Antonio Pousibet-Garrido, Aurora Polo-Rodríguez, Juan Antonio Moreno-Pérez, Isidoro Ruiz-García, Pablo Escobedo, Nuria López-Ruiz, Noel Marcen-Cinca, Javier Medina-Quero, Miguel Ángel Carvajal

“…The aim of this current work is to identify three different gears of cross-country skiing utilizing embedded inertial measurement units and a suitable deep learning model. …”
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Study protocol of the multicentre, randomised, triple-blind, placebo-controlled MERCURI-2 trial: promoting effective renoprotection in cardiac surgery patients by inhibition of sod... by Frederique Paulus, Daniël H van Raalte, Alexander PJ Vlaar, Thomas GV Cherpanath, Abraham H Hulst, Bas M Gerritse, Thierry V Scohy, Benedikt Preckel, Jeroen Hermanides, Marcel G Dijkgraaf, Denise P Veelo, Eline F Bruggemans, Susanne Eberl, Maaike SY Thio, Ayla Y Stobbe, Maartina Oosterom-Eijmael, Nelson P Monteiro de Oliveira, Ed D Niesten, Martijn Tolsma, Ferdinand TF Snellen, T Rettig, M B Godfried, Magiel F Voogd, Jeroen Wink, Lisa MM van der Werff, Robert JM Klautz, Marcella CA Müller, Rients N de Boer, Jorinde AW Polderman, Catherine SC Bouman, Lars IP Snel, Abby Roest, Cato Schmitz, Giel Cox, Hajar Taârnit, Imran Uddin, Lars G Knaap, Merlijn Reijrink, Naomi Chen, Divya PR Tika, Nathalie J Huizing, Tahira El Benhaji, Youri Schut, Michelle Verhagen, Alice C Pap, Yvonne J Jordens, Henrico JFT Wesselink

“…Introduction Acute kidney injury (AKI) is a major complication after cardiac surgery and is associated with postoperative morbidity and mortality. Currently, no effective therapy exists to reduce the incidence of postoperative AKI. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

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Printability in Multi-material Projection-Based 3-Dimensional Bioprinting by Chao-fan He, Tian-hong Qiao, Xu-chao Ren, Mingjun Xie, Qing Gao, Chao-qi Xie, Peng Wang, Yuan Sun, Huayong Yang, Yong He

“…Furthermore, we clarified several critical issues, including the cross-linking behavior of multicomponent bioinks, mechanical mismatch and interface strength in soft–hard composite structures, the penetration behavior of viscous bioinks within hydrogel polymer networks, liquid entrapment and adsorption phenomena in porous heterogeneous structures, and error source analysis along with resolution evaluation in multi-material printing. …”
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Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B by Wu T, Yan J, Xiong F, Liu X, Zhou Y, Ji X, Meng P, Jiang Y, Hou Y

“…By performing a univariate analysis, we pinpointed factors that had an independent impact on the development of HCC, which were subsequently employed to create the ANN model. …”
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Skema Kredibilitas Sertifikat Berbasis Ilearning Gamifikasi Blockchain pada Kampus Merdeka by Qurotul Aini, Nur Azizah, Rahmat Salam, Nuke Puji Lestari Santoso, Fitra Putri Oganda

“…So that it impacts learning certification to standardize reliability and have the competence of MBKM students. However, currently, the security in the certificate is still very vulnerable, and many parties abuse it to access. …”
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Ginsenoside Rg1 Ameliorates Pulmonary Hypertension by Inhibiting cGAS/STING Mediated Cell Senescence by Ding R, Xie H, Zhang Y, Qin L, Peng G, Yi J, Tan J, Cao X, Zheng R, Dai A

“…Network pharmacology analysis was used to predict potential targets, and the expression of cyclic GMP–AMP synthase (cGAS)/stimulator of interferon genes (STING) pathway proteins was evaluated by immunofluorescence staining. …”
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Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…Future research should prioritize precise structural analysis at the molecular scale, synergistic conversion of multi-source solid wastes, and development of green preparation technologies. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…The synergistic use of different admixtures is an effective anti-freezing method, but traditional testing methods are costly and time-consuming. To optimize current technical approaches, this study proposes a Ensemble Model combining Long Short-Term Memory (LSTM) networks with swarm intelligence optimization algorithms to address the adaptability of multi-parameter materials in basalt fiber concrete (BFC) under FTCs. …”
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Enhancing semen quality, brain neurotransmitters, and antioxidant status of rabbits under heat stress by acacia gum, vitamin C, and lycopene as dietary supplements: an in vitro and... by Tharwat A. Imbabi, Walid S. Habashy, Ghada M. Abol-Fetouh, Mai M. Labib, Ali Osman, Amr Elkelish, Ashraf A. Qurtam, Abuelkassem A. Tantawi, Omar Ahmed-Farid

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Identification of high-risk non-ST elevation myocardial infarction at presentation to emergency department. A prospective observational cohort study in North West England by Michael Fisher, Billal Patel, Mohammed Obeidat, James Dodd, Aleem Khand, Freddy Frost, Ruth Grainger, Pei Chew, Liam Mullen, Khaled Albouaini

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MODELS FOR DEVELOPMENT OF LEADERSHIP QUALITIES IN STUDENT YOUTH: DOMESTIC AND FOREIGN EXPERIENC by Lavrentieva Olena, Krupskyi Oleksandr

“…Current theories underlying the investigation of the youth leadership phenomenon have been considered, among which are the Trait Theory and the Great Person Theory, Theories of resonant, proactive, emotional, charismatic, democratic, transformational, situational, participative, servant leadership, and whatever. …”
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Novel Approaches for the Early Detection of Glaucoma Using Artificial Intelligence by Marco Zeppieri, Lorenzo Gardini, Carola Culiersi, Luigi Fontana, Mutali Musa, Fabiana D’Esposito, Pier Luigi Surico, Caterina Gagliano, Francesco Saverio Sorrentino

“…Aims: The purpose of this study is to examine the current uses of AI in the early diagnosis, treatment, and detection of glaucoma while highlighting the advantages and drawbacks of different AI models and algorithms. …”
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