Computational Study of Amorphous Phase Formation in Ti53Cu39Ni8 and Ti50Cu42Ni8 Alloys by Nayara Pinel Silva, Verona Biancardi Aguiar, Luis César Rodríguez Aliaga

“…This study primarily utilized molecular dynamics simulations to investigate the glass-forming behavior of Ti53Cu39Ni8 and Ti50Cu42Ni8 alloys, using the LAMMPS code with a hybrid potential composed of the modified embedded atom method and Lennard-Jones potentials. …”
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Opportunities of aluminum sludge dredging with soft magnetic conditioner for dewaterability enrichment by Manasik M. Nour, Maha A. Tony, Woo Hyoung Lee, Hossam A. Nabwey

“…In addition, the thermal behavior of the material was analyzed using thermogravimetry (TG) and thermogravimetric analysis (TGA). …”
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Applicability of the Chinese weight self-stigma questionnaire and its relationships with depression, physical exercise, and quality of life by Yuchao Fu, Jixiang Liu, Wei Lyu

“…It further seeks to explore the mechanism through which weight self-stigma influences quality of life satisfaction, elucidating the chain mediating effects of physical exercise (behavior) and depression-anxiety-stress (psychology) to fill the gap in mechanistic research on these pathways. …”
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A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation by Kaihua Yao, Xinyu Yan, Xiling Mao, Mengwei Li, Xiao Li, Ziyu Lian, Yuxiang Han

“…Abstract Accurate estimation of the state of charge (SOC) of lithium-ion batteries (LiBs) proportionally impacts the efficiency of battery management systems (BMS) considering the dynamic and non-linear behavior of LiBs. Changes in the activities of the cathode and anode materials and internal resistance tend to impact the battery capacity. …”
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Influence of submarine groundwater discharge on the nutrient dynamics of a fringing-reef lagoon by Zoe Ruben, Dorina Murgulet, Cody V. Lopez, Ismael Marino-Tapia, Arnoldo Valle-Levinson, Kathleen E. Matthews

“…Groundwater multi-tracer analysis and multiple linear regression identify 226Ra as explaining NH4+ variability due to long-term groundwater processes, while 223Ra predicts NOx-, HSiO3-, and urea due to short-term inputs. …”
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Effect of short basalt fibers on energy-dissipating properties of lightweight rubberized concrete shear wall by Artem Zaitsev, Evgenii Matiushin, Victoria Shvetsova, Alexander Burukhin, Stepan Konev, Radmir Karamov, Skolkovo Institute of Science and Technology, Moscow – 121205, Russia.

“…A cyclic pushover analysis of the shear wall has been conducted to characterize its hysteretic behavior and energy dissipation for two consecutive concrete series, predicting long-term seismic performance. …”
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The Relationship between Trait Impulsivity and Everyday Executive Functions among Patients with Type 2 Diabetes Mellitus: The Mediating Effect of Negative Emotions by Na Liu, Chun-Ni Heng, Yi Cui, Ling Li, Yan-Xue Guo, Qin Liu, Bao-Hua Cao, Di Wu, Yin-Ling Zhang

“…The mediating effect of trait impulsivity on the Behavioral Regulation Index (BRI) of EFs through negative emotions was significant, accounting for 29.57% of the total effect. …”
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Analysis of Household Cigarette Demand with Almost Ideal Demand System (AIDS) Model on the Island of Java by Catherin Yensiska Mutiara Tambunan, Bambang Eko Afiatno

“…The AIDS model has a good ability to predict consumer response to changes in price and expenditure. …”
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Comparative evaluation of productivity indicators in carbonate reservoir modeling by a case study for the Mishrif Formation in the Iraqi Buzurgan Oilfield by Mohammed A. Khashman, Hamed Shirazi, Ahmed N. Al-Dujaili

“…In this study, the productivity index was extracted based on well logging and well-testing by Interactive Petrophysics and Saphir™ to comprehend reservoir productivity behavior and be a valuable guide for planning future drilling processes. …”
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Mechanical Properties of Medical Microbubbles and Echogenic Liposomes—A Review by Hussain Alsadiq, Zahra Alhay

“…Additionally, the effects of parameters such as temperature and lipid composition on MB and ELIP mechanical behavior are examined. Four characterization methods are analyzed, including frequency-dependent attenuation, optical observation, atomic force microscopy (AFM), and laser scattering, their advantages and limitations are critically assessed. …”
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Regime shift to extensive valley glaciations over High Mountain Asia during the Early-Middle Pleistocene by Qing Yan, Lewis A. Owen, Ting Wei, Philip D. Hughes, Xiaohan Kong, Nanxuan Jiang, Jinzhe Zhang, Zhongshi Zhang, Huijun Wang

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Vibration-Based Damage Detection of a Steel-Concrete Composite Slab Using Non-Model-Based and Model-Based Methods by Liang Fang, Yun Zhou, Yunzhong Jiang, Yilin Pei, Weijian Yi

“…Of the three different FE models used to simulate the behavior of the composite slab, the calculated MFD of the shell-solid FE model was almost identical to the test results, indicating that the performance of the tested composite structure could be accurately predicted by this type of FE model.…”
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Self-Supervised Learning Meets Custom Autoencoder Classifier: A Semi-Supervised Approach for Encrypted Traffic Anomaly Detection by A. Ramzi Bahlali, Abdelmalik Bachir, Abdeldjalil Labed

“…We design a novel pretext task that predicts important masked features, enabling the model to capture meaningful structure in the data. …”
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Simulating characteristics of Si/Ge tandem monolithic solar cell with Si1-xGex buffer layer by A. B. Gnilenko, Ju. N. Lavrich, S. V. Plaksin

“…For the solar cell modeling, the physically-based device simulator ATLAS of Silvaco TCAD software is employed to predict the electrical behavior of the semiconductor structure and to provide a deep insight into the internal physical processes. …”
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Statistical damage constitutive model of cemented sand and gravelbased on a modified spatially mobilized plane yield criterion by Jiangui Yang, Honglei Ren, Qiang Li, Shuling Cai

“…Specifically, in modeling the strain softening and dilatancy behavior of CSG, the proposed model demonstrates a clear advantage over other existing models.…”
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Preferences of patients with depression for exercises: a discrete choice experiment by Hui-qin Li, Peng Xie, Yu Hou, Weixin Jiang, Shiwei Gong, Si Jin

“…The choice probability of exercise scenarios were predicted. Results The preferences of 323 depressed patients were analyzed. …”
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Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions by Sangki Park, Dongwoo Seo, Kyusan Jung, Jaehwan Kim

“…Seismic fragility curves, derived from ground motion data, are essential tools for predicting and assessing potential damage to structures during earthquakes. …”
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Research dynamics and frontier trends of orogenic gold deposits: a knowledge map based on bibliometrics by KeXin Liu, Nan Jiang, YongQiang Zhang

“…Based on the analysis, the research frontiers should focus on three key areas: (1) Cross-scale mineralization mechanism studies, including numerical simulations of supercritical fluid (H2O-CO2 ± CH4) phase behavior, four-dimensional visualization reconstruction of lithospheric material cycles, and quantitative analysis of pressure-driven (∼150 MPa) phase transitions and adsorption kinetics in sulfide-mantle fluid coupling mechanisms; (2) Technological and methodological advancements, emphasizing the development of AI-powered three-dimensional orebody prediction models and the establishment of deep exploration technology consortia capable of penetrating up to 8 km; (3) Theoretical paradigm shifts, promoting the integration of micro-area isotopic tracing techniques with deep dynamic models to elucidate the control mechanisms of supercontinent cycles on the spatiotemporal architecture of mineralization systems. …”
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Industrial-Grade Graphene Films as Distributed Temperature Sensors by Francesco Siconolfi, Gabriele Cavaliere, Sarah Sibilia, Francesco Cristiano, Gaspare Giovinco, Antonio Maffucci

“…A linear sensor model is then developed and validated through an uncertainty-based approach, yielding a temperature prediction uncertainty of approximately ±2 °C. Finally, the robustness of the sensor concerning moderate environmental variations is verified, as the errors introduced by relative humidity values in the range from 40% to 60% are included in the model’s uncertainty bounds. …”
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Occurrences and Perspectives of Natural Hydrogen Extraction: The Brazilian Context by Vitória Felicio Dornelas, Andreas Nascimento, Diunay Zuliani Mantegazini, Electo Eduardo Silva Lora, Edson da Costa Bortoni, Mohd Amro

“…Geological processes, reserve behavior, and the efficiency of extraction are among the unknowns, though. …”
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