Bridging language models and computational materials science: A prompt‐driven framework for material property prediction by Shuai Lv, Lei Peng, Wentiao Wu, Yufan Yao, Shizhe Jiao, Wei Hu

“…Abstract Large language models (LLMs) have demonstrated effectiveness in interpreting complex data. …”
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The first-approximation model showing the occurrence of epicontinental sedimentary basins due to convective instability of the thermal lithosphere by B. V. Lunev, V. V. Lapkovsky

“…It is critical to correctly formulate a model in the first approximation. It should be fairly simple and based on reliably established experimental facts, give adequate and clearly interpretable non-trivial results and allow further logical refinement of the details, i.e. the next approximations. …”
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Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text by Tianjian Chen, Jiang Huang, Xuetong Wu, Changcheng Shao

“…We leverage these enriched semantic representations to adapt large pre-trained language models using Low-Rank Adaptation (LoRA). By integrating LoRA, the language models gain proficiency in interpreting and learning from the transformed semantic-rich social media text, facilitating a deeper understanding compared to conventional metadata-based approaches. …”
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The burden of informal family caregiving in Europe, 2000–2050: a microsimulation modelling studyResearch in context by Andrea Cattaneo, Andrea Vitali, Daniele Regazzoni, Caterina Rizzi

“…From these kinship structures, we defined a novel metric – Years Lived Caregiving for older relatives (YLCs). …”
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CAMP-GNN: A Constraint-Aware Message-Passing Model for Optimal Resource Allocation in Software Projects by Muhammad Asif, Fahd M. Aldosari, Donia Y. Badawood, Abdu Salam

“…A key contribution is SoftStat, the first structured dataset that combines resource pools, allocations, and project details, enabling the modeling of complex task-resource dependencies and financial/temporal constraints. …”
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Multi-sensor fusion for AI-driven behavior planning in medical applications by Chang Jianming, Qin Yuanyuan, Qin Yuanyuan, Xu Yanling, Li Li, Li Li, Wu Mianhua, Wu Mianhua, Wang Lulu

“…Traditional fusion methods primarily rely on deterministic techniques such as Kalman Filters or rule-based decision models. While effective in structured settings, these methods often struggle to maintain robustness under sensor degradation, occlusions, and environmental uncertainties. …”
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Extracting rates and activation free energies of martensitic transitions using nanomechanical force statistics: theory, models, and analysis by Arijit Maitra, M. P. Gururajan

“…Abstract Nanomechanical responses (force-time profiles) of crystal lattices under deformation exhibit random critical jumps, reflecting the underlying structural transition processes. Despite extensive data collection, interpreting dynamic critical responses and their underlying mechanisms remains a significant challenge. …”
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The Power of Metaphor in the Representation of Mental Images in the Language of Tourism Print Advertising: Lakoff and Johnson’s Model of Conceptual Metaphor by Jawad El Bakri

“…Lakoff and Johnson’s (1980) model-based cognitive perspective, as the theoretical framework of this study, provides the bases and the analytical tools to interpret the inferred information in this study. …”
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Multiwavelength Campaign Observations of a Young Solar-type Star, EK Draconis. II. Understanding Prominence Eruption through Data-driven Modeling and Observed Magnetic Environment by Kosuke Namekata, Kai Ikuta, Pascal Petit, Vladimir S. Airapetian, Aline A. Vidotto, Petr Heinzel, Jiří Wollmann, Hiroyuki Maehara, Yuta Notsu, Shun Inoue, Stephen Marsden, Julien Morin, Sandra V. Jeffers, Coralie Neiner, Rishi R. Paudel, Antoaneta A. Avramova-Boncheva, Keith Gendreau, Kazunari Shibata

“…By performing a 1D freefall dynamical model and a 1D hydrodynamic simulation of the flow along the expanding magnetic loop, we found that the prominence eruption likely occurred near the stellar limb (12 ${}_{-5}^{+5}$ -16 ${}_{-7}^{+7}$ degrees from the limb) and was ejected at an angle of ${15}_{-5}^{+6}$ -24 ${}_{-6}^{+6}$ degrees relative to the line of sight, and the magnetic structures can expand into a coronal mass ejection. …”
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When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys by Neta Shanwetter Levit, Mor Saban

“…Our findings suggest that LLMs can serve as complementary tools in qualitative research, enhancing analytical breadth when paired with human interpretation. This study proposes a hybrid model integrating AI-assisted and human-led methods and offers practical recommendations for responsibly incorporating LLMs into qualitative health research.…”
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A Comparison of Limited Information Estimation Methods for the Two-Parameter Normal-Ogive Model with Locally Dependent Items by Alexander Robitzsch

“…Likelihood-based estimation of the local dependence structure is often computationally demanding. Moreover, many IRT models that model local dependence do not have a marginal interpretation of item parameters. …”
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Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

“…At the same time, the fundamental reason for the improvement of accuracy is explored, and the interpretability of the proposed model is further improved.Results and Discussions　By analyzing the PL_14-1 and PL_14-4 measurement points, the proposed DcTransformer model is superior to the basic Transformer model in both the value and trend of prediction, and its MSE index has increased by 50.40% and 61.34%, respectively; The RMSE index increased by 29.57% and 37.90%; The MAE index increased by 31.94% and 35.11% respectively; MAPE index increased by 31.72% and 35.14%; The <italic>r</italic> index increased by 8.88% and 13.83%, which proved the predictive effectiveness and good generalization ability of DcTransformer model in the monitoring task. …”
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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

“…Cross-validation, significance testing, out-of-sample prediction, and Shapley Additive Explanations (SHAP) are also conducted to ensure the model's stability, reliability, interpretability, and performance. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…The resulting interpretable AutoML models O-RF, O-XGB, O-LGB, and O-CB are applied to predict the compressive and tensile strengths of HPC. …”
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A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…For this, while 15 features were selected employing the visual charts provided by EBM for interpreting the decision-making process, the SHAP technique was applied to examine the most prominent features in the XGBoost model structure. …”
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Locating Geothermal Resources: Insights from 3D Stress and Flow Models at the Upper Rhine Graben Scale by Antoine Armandine Les Landes, Théophile Guillon, Mariane Peter-Borie, Arnold Blaisonneau, Xavier Rachez, Sylvie Gentier

“…The geometry building is focused on the conceptualization of the 3D fault zone network based on structural interpretation and generic geological concepts and is consistent with the geological knowledge. …”
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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…Within the suggested model the probabilistic detection characteristics of aviation security screeners are considered as functions of such parameters as the difference between level of qualification and level of x-ray images complexity, and also between the aviation security screeners’ responsibility and structure of their professional knowledge. …”
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Developmental remodelling of Drosophila flight muscle sarcomeres: a scaled myofilament lattice model based on multiscale morphometrics by Péter Görög, Tibor Novák, Tamás F. Polgár, Péter Bíró, Adél Gutheil, Csaba Kozma, Tamás Gajdos, Krisztina Tóth, Alexandra Tóth, Miklós Erdélyi, József Mihály, Szilárd Szikora

“…The indirect flight muscle is a widely used model for studying sarcomere structure and muscle development due to its extremely regular architecture. …”
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Providing a model of consumer behavior in creating brand attachment with an emphasis on the packaging component of food industry companies by maziar Ghasemzadeh Sangroudi, karim hamdi, SHADAN VAHABZADEH MUNSHI

“…Then the existing categories are leveled with the structural-interpretive method and the initial research model is designed. …”
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Psycholinguistic Concept and the Model of Speech Influence by A.A. Leontiev and Its Importance for Actualization of the Modern Communication Problems by Ksenia Maksymenko, Heorhii Kalmykov

“…The content of this manuscript also describes the psycholinguistic model of speech effect, which, according to the author, has statuses or psychological actions, or appears as an independent activity with its own motive, has a feedback, acts in various forms of interference with consciousness and subconscious of the personality, etc.; the ways of achieving changes in the recipient’s existing values under the influence of the content of communicator’s speech are represented; the three-layer psycholinguistic structure of the speech influence is substantiated. …”
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