Unraveling the role played by a buried mud diapir: alternative model for 2016 Mw 6.4 MeiNong earthquake in southwestern Taiwan by Geng-Pei Lin, Wu-Lung Chang, Chi-Yu Chiu

“…This study discusses the potential mechanisms how fluid-rich and high-pressure mudstone may be deformed through coseismic process and how mud diapirs may contribute to additional deformation within the seismic cycle.…”
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Studies on Adsorption of Fluorescein Dye from Aqueous Solutions Using Wild Herbs by Ghadah M. Al-Senani, Nada S. Al-Kadhi

“…Four kinetic models were used to analyze the experimental data, and it was determined that the pseudo-second-order kinetic model best described the adsorption process, which involved chemical adsorption and the internal diffusion. …”
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Antioxidant Potential of Xanthohumol in Disease Prevention: Evidence from Human and Animal Studies by Jakub Piekara, Dorota Piasecka-Kwiatkowska

“…It is the key function of XN to ameliorate inflammation and to promote the healing process in organs. However, existing data also indicate that XN may have adverse effects in certain diseases, such as advanced prostate cancer, where it activates the AMPK (activated protein kinase) pathway responsible for restoring cellular energy balance. …”
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Expert and Novice Teachers’ Cognitive Neural Differences in Understanding Students’ Classroom Action Intentions by Yishan Lin, Rui Li, Jesús Ribosa, David Duran, Binghai Sun

“…However, the cognitive process and brain mechanism of how teachers understand students’ action intention in class are still unclear. …”
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Low Capillary Elastic Flow Model Optimization Using the Lattice Boltzmann Method and Non-Dominated Sorting Genetic Algorithm by Yaqi Hou, Wei Zhang, Jiahua Hu, Feiyu Gao, Xuexue Zong

“…This approach enhances the controllability of the elastic flow process and improves the efficiency of mass and heat transfer.…”
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Tuning the nucleation kinetics of phosphate chemical conversion coating on Mg-Gd-Y-Zr magnesium alloy: The effect of pretreatment and organic additive by Siyu Sun, Peng Zhou, Yan Chen, JinTao Xiao, Jingli Sun, Yong Yuan, Tao Zhang, Fuhui Wang

“…In order to obtain a more protective phosphate conversion coating with a denser architecture, the nucleation kinetics of phosphate chemical conversion coating on Mg-Gd-Y-Zr magnesium alloy was tuned in this work. A pretreatment process was proposed and organic additives were incorporated, which aims at increasing the ionic produce (Jsp) at the interface for increasing σ, and decreasing the critical ionic product (JC,sp), respectively. …”
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Automated hiring platforms as mythmaking machines and their symbolic economy by Etienne Grenier, Nicolas Chartier-Edwards

“…We assert that the gaps of nonknowledge (Beer, 2023) created by the one-sided interviews break the commonly accepted interactionist framework that originally informed the hiring process. Using HireVue as a case study, we lay bare the political economy of AI-powered automated hiring platforms, highlighting how individuals assess their capacity to acquire agency in the face of opaque technologies. …”
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Ethnosymbolism as a Framework for Early Modern Literature Analysis: Theoretical Reflections on the Identity of the Political Community of the Grand Duchy of Lithuania by Skirmantas Knieža

“…While the latter mainly focus on social factors and associate the emergence of nationalism with the industrialization of the 19th century, ethnosymbolists suggest evaluating cultural factors and interpreting the emergence of the modern nation as a chronological, continuous, and gradual process. The emergence of ethnosymbolism in the 1980s can be associated with a broader cultural turn in historiography and history studies: scholars shifted their focus to foundational myths and myths of descent, analyzing symbols that helped establish and cultivate the cultural memory of communities. …”
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A cluster randomised controlled trial investigating the effectiveness of the 'Support group' intervention in primary schools in Norway: A study protocol. by Lisbeth Valla, Bente Sparboe-Nilsen, Lisbeth G Kvarme, Therese Haugerud Bjerketveit, Milada Hagen, Brita Askeland Winje

“…Data will be collected at baseline, post-intervention, and at 6- and 9-month thereafter. A parallel process evaluation will be conducted to assess the fidelity and quality of the intervention's implementation and to identify factors associated with its success. …”
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The Role of the CPT Family in Cancer: Searching for New Therapeutic Strategies by Yanxia Duan, Jiaxin Liu, Ailin Li, Chang Liu, Guang Shu, Gang Yin

“…Disturbances in lipid metabolic homeostasis, represented by fatty acid oxidation (FAO) imbalance, leading to activation of pro-cancer signals and abnormalities in the expression and activity of related metabolically critical rate-limiting enzymes, have become an important part of metabolic remodeling in cancer. The FAO process is a metabolic pathway that facilitates the breakdown of fatty acids into CO₂ and H₂O and releases large amounts of energy in the body under aerobic conditions. …”
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Detection of false data injection in electric energy metering platforms using gradient lifting decision trees and MLP neural networks by Yakui Zhu, Yangrui Zhang, Chao Zhang, Bingyu Zhang, Hongying Wang, Shaokang Feng

“…Experimental results show that the proposed method can efficiently process a large number of packets per second, the ROC curve performance is excellent, the detection accuracy is more than 99.97%, and the delay is less than 0.04 s. …”
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An outer membrane vesicle specific lipoprotein promotes Porphyromonas gingivalis aggregation on red blood cells by Christina M. Rothenberger, Manda Yu, Hey-Min Kim, Yee-Wai Cheung, Yi-Wei Chang, Mary Ellen Davey

“…Our findings discover that RBCs elicit cell aggregation and matrix formation by P. gingivalis and that this process is promoted by an OMV-specific lipoprotein. …”
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Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

“…Grounded in mobile learning and situated learning theories, the study applies a user-centered design approach through the design thinking process. Initially, semi-structured interviews with eight experienced users were conducted to identify key design requirements, including interface simplicity, visual clarity, thematic relevance, and AR interactivity. …”
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Scalable Fabrication of Highly Organized, Horizontally Aligned Sub‐5 nm Silicon Nanowires via Chemical Vapor Etching by Juyeon Seo, Peiyun Feng, Jianlin Li, Sanghyun Hong, Sen Gao, Ji Young Byun, Yung Joon Jung

“…These unprecedented, highly organized silicon architectures with tunable sizes and densities are fabricated using straightforward micro‐patterned SiO2/Si templates followed by a chemical vaporetching process. In time‐resolved structural analysis, it is revealed that rapid, aggressive etching is crucial for creating an inhomogeneous spatial distribution of vapor etchants, inducing surface defects acting as preferential sites for localized anisotropic silicon etching along <111> direction. …”
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Evaluating the determinants on students’ switching intentions towards distance learning: an extension of the theory of planned behavior by Hui Guo, Yan Ye, Yu-Chun Lin, Asif Khan, Shih-Chih Chen, Jhao-Hong Liou

“…Finally, this study provides management implications, strategic recommendations, and future research directions for educators and educational institutions in the process of transitioning students from classes in person to distance learning during the COVID-19 pandemic.…”
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Nutritional support as an integral part of the management of a patient with stroke in the acute stage of the disease and at the stage of rehabilitation by V. V. Kovalchuk

“…Nutritional deficiency has the following negative impact directly on the process of recovery of a patient after a stroke: a decrease in the degree of recovery of motor functions, a decrease in the degree of recovery of cognitive functions, a low level of social adaptation, a low level of quality of life. 50% of stroke patients are malnourished upon admission to rehabilitation centers. …”
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Digital twin data: methods and key technologies [version 1; peer review: 1 approved, 3 approved with reservations] by Ang Liu, Meng Zhang, Lihui Wang, Fei Tao, Biqing Huang, A. Y. C. Nee, Nabil Anwer

“…Based on the theoretical underpinning provided in this paper, it is expected that more DT researchers and practitioners can incorporate DTD into their DT development process.…”
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Transcriptional progression during meiotic prophase I reveals sex-specific features and X chromosome dynamics in human fetal female germline. by Xueying Fan, Ioannis Moustakas, Vanessa Torrens-Juaneda, Qijing Lei, Geert Hamer, Leoni A Louwe, Gonneke S K Pilgram, Karoly Szuhai, Roberto Matorras, Cristina Eguizabal, Lucette van der Westerlaken, Hailiang Mei, Susana M Chuva de Sousa Lopes

“…We identified not only key players involved in the process of meiosis, but also highlighted the molecular components that could be responsible for changes in cellular morphology that occur during this developmental period, when the female FGC acquire their typical (sex-specific) oocyte shape as well as sex-differences in the regulation of DNA methylation. …”
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Comparison Of Expression Levels Of Keratin 19 (Krt19) and Transmembrane Serine Protease 4 (Tmprss4) Genes in SU.86.86 and BxPC-3 Pancreatic Cancer Cell Lines by Seda Yavuzarslan, Süreyya Bozkurt

“…In pancreatic cancers, where survival is very low, most of the patients are in the metastatic process at the time of diagnosis. For this reason, there is an urgent need for metastatic biomarkers that can provide information about the prognosis of the disease. …”
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Analysis of Passenger Flow Characteristics and Origin–Destination Passenger Flow Prediction in Urban Rail Transit Based on Deep Learning by Zhongwei Hou, Jin Han, Guang Yang

“…To simultaneously consider the spatiotemporal characteristics of passenger flow distribution and achieve high precision estimation of origin and destination (OD) passenger flow quickly, a predictive model based on a temporal convolutional network and a long short-term memory network (TCN–LSTM) combined with an attention mechanism was established to process passenger flow data in urban rail transit. …”
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