Information-Theoretical Analysis of a Transformer-Based Generative AI Model by Manas Deb, Tokunbo Ogunfunmi

“…The highlight of our study is that, using Information-Theoretical tools, we develop techniques to visualize on an Information plane how the Transformer encodes the relationship between words in sentences while these words are projected into a high-dimensional vector space. …”
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Modelling of Liquid Hydrogen Transfer Operations Through Steady-state Simulations by Lucas M. Claussner, Pramoth Thumattin Sathiamoorthy, Federico Ustolin

“…To address this, a static model for LH2 transfer via pipelines was developed using Aspen HYSYS, incorporating key variables such as mass flow rate, pressure, temperature, and pipeline roughness. …”
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Rock Physics Characteristics and Modeling of Deep Fracture–Cavity Carbonate Reservoirs by Qifei Fang, Juntao Ge, Xiaoqiong Wang, Junfeng Zhou, Huizhen Li, Yuhao Zhao, Tuanyu Teng, Guoliang Yan, Mengen Wang

“…The deep carbonate reservoirs in the Tarim Basin, Xinjiang, China, are widely developed with multi-scale complex reservoir spaces such as fractures, pores, and karst caves under the coupling of abnormal high pressure, diagenesis, karst, and tectonics and have strong heterogeneity. …”
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A physical model for metal extraction and transport in shallow magmatic systems by Christian Huber, Olivier Bachmann, Jean‐Louis Vigneresse, Josef Dufek, Andrea Parmigiani

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Detecting Online Sexism: Integrating Sentiment Analysis with Contextual Language Models by Faiza Belbachir, Thomas Roustan, Assia Soukane

“…To test this hypothesis, we developed two approaches. The first involved using classical transformers trained on our dataset, while the second combined embeddings generated by transformers with a Long Short-Term Memory (LSTM) model for classification. …”
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Winglet Design for Aerodynamic and Performance Optimization of UAVs via Surrogate Modeling by Eleftherios Nikolaou, Spyridon Kilimtzidis, Vassilis Kostopoulos

“…The integration of SBO techniques allowed for an efficient exploration of the design space while reducing computational costs associated with iterative high-fidelity simulations. …”
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Towards the improvement of project team performance based on large language models by Mykyta Rohovyi, Marina Grinchenko

“…How to utilize the power of large language models (LLMs) to identify and improve textual descriptions of tasks? …”
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Development of Student Worksheets on Spatial Structure Material Based on Candi Penataran to Support Student Learning Outcomes by Anisah Salsabila, Asfira Zakiatun Nisa, Erni Anggraini, Marhayati Marhayati

“…This study aimed to develop Student Worksheets (LKPD) based on Space Building Materials with a foundation in Penataran Temple to support student learning outcomes. …”
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BALI—A Benchmark for Accelerated Language Model Inference by Lena Jurkschat, Preetam Gattogi, Sahar Vahdati, Jens Lehmann

“…The rise of Large Language Models (LLMs) has revolutionized natural language processing, enabling advancements across diverse applications, including chatbots, live translators, content generation, virtual assistants, and domain-specific automation tools. …”
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Numerical Simulations of Carbon Dioxide Storage Efficiency in Heterogeneous Reservoir Models by Evgeniy M. Myshakin, Foad Haeri, Johnathan Moore, Dustin Crandall, Angela L. Goodman

“…The reservoir models providing vertically heterogeneous petrophysical properties and designated as “layered reservoir models” (with homogeneous parameters along each layer of the model) were not determined to be a transition between the homogeneous and heterogeneous models in respect to storage efficiency. …”
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Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

“…In this study, a surrogate model based on a regression ensemble model has been developed for real-time assessment of underground tunnels under dynamic loads. …”
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Improving accuracy for finite element modeling of endovascular coiling of intracranial aneurysm. by Robert J Damiano, Vincent M Tutino, Saeb R Lamooki, Nikhil Paliwal, Gary F Dargush, Jason M Davies, Adnan H Siddiqui, Hui Meng

“…<h4>Background</h4>Computer modeling of endovascular coiling intervention for intracranial aneurysm could enable a priori patient-specific treatment evaluation. …”
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THE TASK OF MINIMAX ADAPTIVE MANAGEMENT OF INNOVATIVE PROCESSES AT AN ENTERPRISE WITH RISK ASSESSMENT by Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva

“…It is supposed that the phase conditions of the object, management actions and the vector of risks of the considered dynamic system at any moment of time are constrained by given finite or convex polyhedral sets in corresponding finite-dimensional vector spaces. The objective of the article is to model a task of adaptive management of an enterprise innovative processes (EIP) under risks, which requires to complete the following tasks: to develop a software model of managing EIP under risks; to formalize the task of optimizing the EIP adaptive management and general paradigm of its solving as a guaranteed result based on minimax (optimizing a guaranteed result at a given final moment of time considering risks). …”
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A new model for plasmapause locations derived from IMAGE RPI and Van Allen Probes data by Banyś Daniela, Feltens Joachim, Jakowski Norbert, Berdermann Jens, Hoque Mainul M., Zandbergen René, Enderle Werner

“…The outer boundary of the plasmasphere, the plasmapause, is characterized by a sharp electron density gradient that changes under varying space weather conditions. We developed a new model, called the Neustrelitz/ESOC PlasmaPause Model (NEPPM), for providing plasmapause location in terms of L-shell utilizing electron density measurements from the Van Allen Probes from 2012 to 2018 and the IMAGE satellite data from 2001 to 2005. …”
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A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

“…The methodology gives rheological curves for shear rates comprised between 0.01 and 1000 s−1 excluding the shear thickening behavior of the HPAM polymer solutions. The regression model developed was fitted with a training dataset and has exhibited satisfactory results, as tested with additional experimental datasets from different authors. …”
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New views on RLC-electric circuit models via combinational contractions by Mohammed Shehu Shagari, Faryad Ali, Monairah Alansari, Akbar Azam

“…Abstract One field of the ongoing research is the development of a more unifying functional equations in generalized spaces. …”
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AI-driven design: powered by large language model and intelligent computation by Guodong Sa, Zhinan Li, Zhenyu Liu, Jianrong Tan

“…However, the transition from theoretical concepts to manufacturing practice encounters three critical technical bottlenecks: the sparsity and heterogeneity of design data constrain the development of domain-specific large models, hallucination phenomena in generative design compromise solution trustworthiness, and numerical simulation methods face fundamental trade-offs between computational accuracy and efficiency. …”
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A Quantitative Comparison of High Latitude Electric Field Models During a Large Geomagnetic Storm by L. Orr, A. Grocott, M.‐T. Walach, G. Chisham, M. P. Freeman, M. M. Lam, R. M. Shore

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Use of digital tools for nasoalveolar modeling in patients with cleft lip and/or palate by Olga Lidia Cano Silva

“…Cleft lip and palate is the most frequent congenital craniofacial malformation, produced by failure in partial or complete fusion of the facial processes during embryonic development, of multifactorial origin that requires multidisciplinary treatment for its correction. …”
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Drag‐Based CME Modeling With Heliospheric Images Incorporating Frontal Deformation: ELEvoHI 2.0 by Jürgen Hinterreiter, Tanja Amerstorfer, Manuela Temmer, Martin A. Reiss, Andreas J. Weiss, Christian Möstl, Luke A. Barnard, Jens Pomoell, Maike Bauer, Ute V. Amerstorfer

“…ELEvoHI relies on heliospheric imagers (HI) observations to obtain the kinematics of a CME. With the newly developed deformable front, the model is able to react to the ambient solar wind conditions during the entire propagation and along the whole front of the CME. …”
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