Text-Guided Visual Representation Optimization for Sensor-Acquired Video Temporal Grounding by Yun Tian, Xiaobo Guo, Jinsong Wang, Xinyue Liang

“…Built upon the unified cross-modal embedding space provided by CLIP, our model leverages video data from sensing devices to structure representations and introduces two dedicated modules to semantically refine visual representations across spatial and temporal dimensions. …”
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Characterizing dynamical processes in surface-bound exospheres via resolved sodium D emissions by Patrick Lierle, Emma Lovett, Carl Schmidt, Aimee Merkel

“…In the latter, temperature, or effective temperature in the case of a collisionless exosphere, may be retrieved analytically for a single-component transition line, or by forward-modeling for transition lines with fine structure. …”
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Stability Assessment of Rock Slopes in the Former Quarry of Wojciech Bednarski Park in Kraków—A Case Study by Malwina Kolano, Marek Cała, Agnieszka Stopkowicz, Piotr Olchowy, Marek Wendorff

“…Due to the necessity of adopting several modelling assumptions, the results should be interpreted primarily in qualitative terms. …”
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The concept of student cognitive culture: Definition and conditions for development by L. V. Astakhova

“…However, the current educational standards and programmes of universities, as well as the lower level of cognitive skills and students’ competencies, do not meet the requirement to solve the global problem related to the processes for changing the knowledge structure and total informatisation of human activities. …”
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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

“…Promising approaches include the synergy of spatiotemporal Granger causality and structural equation modeling with spatial lags, which capture complex interdependencies while preserving interpretability. …”
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Multiwavelength Constraints on Dust Dynamics and Size Evolution in Protoplanetary Disk Rings. I. Method by Linhan Yang, Ya-Ping Li, Ruobing Dong, Kiyoaki Doi, Hauyu Baobab Liu, Pinghui Huang

“…Our model provides a unified framework for interpreting multiwavelength observations by linking the physical dust distribution to the observed ring properties, thus laying the foundation for future observational modeling.…”
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Transient electromagnetic imaging of saltwater intrusion at the shrinking Dead Sea by Jafar Abu Rajab, Pritam Yogeshwar, Bülent Tezkan, Djamil Al-Halbouni

“…The mid-region resistivity model highlights a stratified subsurface structure comprising freshwater, brackish, and brine zones, emphasizing the model’s value in understanding aquifer vulnerability and guiding water management strategies in the GAH area.…”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…Furthermore, machine learning models, including standard regression algorithms and neural networks, are leveraged to enhance signal interpretation and predictive capabilities. …”
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Redox partner exchanges between spatially confined complexes control the coupling effect of cytochrome b5 on P450 CYP3A4 by Philippe Urban, Alain Perret, Denis Pompon

“…The potential formation of an unusual ternary complex allowing a more delocalized electron exchange between P450 heme, FAD, FMN of CPR and b5 heme was also considered. Modeled formation of these alternate complexes also provided potential structural interpretations for non-redox complementary mechanisms that could contribute to the global activation mechanism of CYP3A4.…”
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A Study of the Representation of Justice and the Critique of Governmental Power in Letter 45 of Nahj al-Balagha Based on Norman Fairclough\'s Critical Discourse Analysis [In Persia... by Ahmad Arefi, Reza Karimpour Kasin

“…The methodology employs Fairclough’s three-dimensional model, encompassing description (textual analysis), interpretation (discourse production and reception), and explanation (socio-historical context). …”
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Foreword

“… As linguistic research continues to navigate the complex interplay between structure, meaning, and pedagogy, increasing attention is being paid to how languages are learned, represented, and taught across diverse sociocultural contexts. …”
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Conceptual and theoretical foundations of personalised learning by E. F. Zeer, O. V. Krezhevskikh

“…In the course of the research, the following tools and methods were used: analysis, comparison and generalisation, the authors’ interpretation of psychological and pedagogical literature in the field of accounting for individual characteristics of the student, structural and functional modelling of pedagogical systems. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Two explainable AI (XAI) tools, local interpretable model-agnostic explanations (LIMEs) and gradient-weighted class activation mapping++ (Grad-CAM++) are integrated with the proposed method to enhance result clarity. …”
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Designing a Digital Branding Pattern in Healthy Agricultural Products by Abolghasem Mohammadnezhad Ali Zamini, Arezo Ahmadi danyali, Mahmoud Ahmadi Sharif

“…The experts were selected through purposive and non-probability sampling, and in-depth and semi-structured interviews were conducted with them. In the quantitative part of the research, the fuzzy Delphi technique was used to screen the obtained indicators, then the interpretive structural modeling method was used to identify the causal relationships between the main research articles. …”
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Quality failures in Energy- saving renovation projects in Northern China by Yuting Qi

“…In order to explain how the intricate relationships among the causes affect the quality of building energy renovation projects, the interpretive structural modelling (ISM) and Matrix Impact Cross-reference Multiplication Applied to a Classification (MICMAC) techniques are applied. …”
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TEACHERS’ PROFESSIONAL COMMITMENT AS AN INDICATOR OF PSYCHOLOGICAL READINESS TO THE PROFESSIONAL STANDARDS IMPLEMENTATION by S. A. Minyurova, A. I. Kalashnikov

“…The attempt to describe the research experience on studying of professional commitment of the Russian teachers has been made for the first time ever. The proposed models of professional commitment are compared. It is proved that the structure of each model depends on professional and cultural diversity of a target group of a specific study. …”
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Safety challenges in high-voltage electric vehicle collisions: risks and design strategies by Vikash K. Agrawal, Lalit N. Patil, Niyaj D. Shikalgar, Yashraj M. Patil, Vijay Javanjal, Subhash Gadhave, Uddhav D. Nimbalkar

“…Abstract The rapid advancement of electric vehicles (EVs) has introduced new structural safety challenges, especially in side-impact scenarios due to the presence of high-voltage battery packs. …”
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Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

“…In this research, we propose modifications to the standard U-Net structure by integrating dense and residual connections, which serve as the foundation of our approach named the dense and residual (DARE U-Net) network. …”
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A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO₂ Data over Taiwan by Alyssa Valerio, Yi-Chun Chen, Chian-Yi Liu, Yi-Ying Chen, Chuan-Yao Lin

“…This structure enables the framework to capture both spatial autocorrelation and complex relationships between NO₂ concentrations and environmental drivers. …”
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Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification by Pegah Mohammadpour, Domingos Xavier Viegas, Alcides Pereira, Emilio Chuvieco

“…Wildfires significantly reshape the landscape of the Mediterranean basin, altering forest composition, structure, and diversity. Consequently, detailed fuel mapping is crucial for improving fire risk assessment and enhancing fire behavior modeling, as wildfires typically ignite from surface fuels and may spread vertically to canopy fuels due to canopy fuel continuity. …”
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