Turbulence closure modeling with machine learning: a foundational physics perspective by Sharath S Girimaji

“…However, by most accounts, the current rate of progress toward accurate and predictive ML-RANS (Reynolds Averaged Navier–Stokes) closure models has been very slow. …”
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Power losses vs. mechanical load of an active magnetic bearing: A finite element method approach by Vasileios Menelaos Koufopanos, Andreas Andrikopoulos, Pantelis Nikolakopoulos

“…Thanks to the electromagnets and their ability to apply forces without any mechanical contact needed, they enable frictionless rotation while eliminating wear. …”
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Right to complain: should Norway be following an appeal scheme more in line with its Scandinavian neighbors for written exams in higher education? by Jon Tømmerås Selvik, Eirik Bjorheim Abrahamsen, Pattamawan Jimarkon, Timothy James Marshall

“…Despite arguments in support of the current scheme, such as neutrality, it challenges quality by contributing to increased use of resources, differential treatment, and less informed decisions. …”
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Photovoltaic Array Fault Diagnosis and Localization Method Based on Modulated Photocurrent and Machine Learning by Yebo Tao, Tingting Yu, Jiayi Yang

“…Compared to other methods, the strengths of this method lie in its ability to achieve high-speed and high-accuracy fault identification and localization by measuring only the short-circuit current. …”
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LONG NON-CODING RNAs AND AUTOPHAGY IN OSTEOSARCOMA by Ayça Coşkun, Hamza Malik Okuyan

“…Although recent advancements have improved the current therapeutic management of OSA, the clinical outcomes of the disease still remain unsatisfactory. …”
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Predictive goal coding by dentate gyrus somatostatin-expressing interneurons in male mice by Mei Yuan, Aurore Cazala, Sven Goedeke, Christian Leibold, Jonas-Frederic Sauer, Marlene Bartos

“…Thus, our data reveal the ability of SOMIs to flexibly encode goal-locations depending on current and past experiences to bias behavioral outcomes.…”
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Optimizing Design Thinking Strategy for AI-Generated Image Models: Using Logo Design as a Case Study by Chen Yuxin

“…Nevertheless, the image design aspect remains largely rudimentary in current AI design platforms. Looking at examples of logo design, we see that most logos are merely replicas of current logos. …”
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Transformation of the currency regulation regime and foreign economic relations of Russia in the context of expanding anti-Russian sanctions by O. B. Anikin, O. M. Fedin

“…The article discusses the features of currency regulation and foreign economic relations of the Russian Federation (hereinafter referred to as RF, Russia) in the context of the introduction and growth of anti-Russian sanctions by the United States of America, European Union countries and other unfriendly countries, issues related to ensuring the sustainability of the Russian economy and its ability to withstand negative internal and external influences, issues of financial security, which is an important component of the country’s economic security, issues of the current state of the state’s banking system and the Russian economy as a whole. …”
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Simulations to benchmark time-varying connectivity methods for fMRI. by William Hedley Thompson, Craig Geoffrey Richter, Pontus Plavén-Sigray, Peter Fransson

“…There is a current interest in quantifying time-varying connectivity (TVC) based on neuroimaging data such as fMRI. …”
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Approaches to Enhance the Potency of Vaccines in Chickens by Oenone Bodman-Harris, Christine S. Rollier, Munir Iqbal

“…This review aims to discuss the existing poultry vaccine technology; the effect of delivery mechanisms on vaccine efficacy; the use of current and novel adjuvants; the ability to target antigens to antigen-presenting cells; and the use of probiotics, multivalent vaccines, and nanotechnology to enhance the potency of poultry vaccines.…”
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SOME REFLECTIONS ON IMPLEMENTING THE INTERNET OF THINGS WITHIN ROMANIAN COMPANIES by ZAMFIR PAUL BOGDAN

“…This study will explore the fundamental theoretical aspects related to the definition and evolution of IoT, highlighting the specific factors of the national economy that favor or limit the adoption of new technologies. Furthermore, in the current research, the author examines major challenges that companies face in the process of integrating IoT into their current operations. …”
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A Study on The Role of Complementary Courses in Translation and Interpreting Programs in Gaining Learning Competence by Güldane Duygu Tümer

“…This study aims to reveal the contribution of Current Developments and Language and Cultural Competence courses, which are complementary in Translation and Interpreting programs, to above-mentioned skills. …”
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Speaking out for speakers: a guide for and analysis of robot speaker design by Nnamdi Nwagwu, Adeline Schneider, Tyler K. Phelps, Brian J. Zhang, Naomi T. Fitter

“…To address this gap, we conducted three explorations into physical speaker design that identified what current robot speakers lack and potential remedies, low-level design improvements, and post hoc hardware additions. …”
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Applying 3D surface scanning technology to create photorealistic three-dimensional printed replicas of human anatomy by Lucy F Costello, Paul G McMenamin, Michelle R Quayle, John F Bertram, Justin W Adams

“…Results: We describe the process for color control, print design and translation of photorealistic 3D meshes into 3D prints in durable resins. Conclusion: Current technologies allow previously unachievable ability to capture and reproduce anatomical specimens, and provide a platform for a new generation of 3D printed teaching materials to be designed and used in anatomy education environments.…”
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Improved non-singular fast terminal sliding mode PMSM control strategy. by Jingbin Yan, Haoxuan Hu

“…Second, a beat-free predictive current controller was designed for the current loop to further strengthen the system's dynamic response. …”
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MCPdb: The bacterial microcompartment database. by Jessica M Ochoa, Kaylie Bair, Thomas Holton, Thomas A Bobik, Todd O Yeates

“…While considerable amounts of structural and biophysical data have been generated in the last 15 years, the existing functionalities of current resources have limited our ability to rapidly understand the functional and structural properties of microcompartments (MCPs) and their diversity. …”
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Isolated Single-phase High Power Factor Rectifier Using Zeta Converter Operating in DCM With Non-Dissipative Snubber by Alan D. Callegaro, Denizar C. Martins, Ivo Barbi

“…The main feature of the proposed converter is its ability to naturally emulate an apparent resistance to the ac input source, without current sensor or current controller. …”
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The troglophilic population of Lithobius peregrinus Latzel, 1880 (Chilopoda, Lithobiomorpha) from Gaura cu Muscă Cave – first record of the species in Romania: morphological variat... by Ștefan Cătălin Baba, Andrei Giurginca, Rodica Plăiașu, Robert Opran, Andreea Mîrleneanu, Octavian Pacioglu

“…Behavioural observations highlighted the close water affinity of this centipede, with individuals frequently found near water bodies, possibly contributing to its dispersal ability. The study also discussed the broader cave affinities of L. peregrinus, comparing its current geographic distribution to related species and highlighting changes in the cave microclimate that may have impacted its subterranean adaptations. …”
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Democratic revolution in school by Dominik Chojnowski

“…State is used and controlled by financial circles that want only new subordinated worker force that don’t have the ability to change organization of the rules by which society works. …”
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A Gaze Estimation Method Based on Spatial and Channel Reconstructed ResNet Combined with Multi-Clue Fusion by Zhaoyu Shou, Yanjun Lin, Jianwen Mo, Ziyong Wu

“…The complexity of various factors influencing online learning makes it difficult to characterize learning concentration, while Accurately estimating students’ gaze points during learning video sessions represents a critical scientific challenge in assessing and enhancing the attentiveness of online learners. However, current appearance-based gaze estimation models lack a focus on extracting essential features and fail to effectively model the spatio-temporal relationships among the head, face, and eye regions, which limits their ability to achieve lower angular errors. …”
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