German Spent Nuclear Fuel Legacy: Characteristics and High-Level Waste Management Issues by A. Schwenk-Ferrero

“…All power plants generate high-level nuclear waste like spent uranium or mixed uranium-plutonium dioxide fuel which has to be properly managed. …”
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PARADIGM FOR CONTEMPORARY SYMBOLIC REALITY by Elena Korableva

“…Herewith, a lot of interpretations, pluralism and diversity of axiological points of view to understanding objective reality are obvious; 3) The use of signs becomes like a code or the language for communication between people. …”
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Comparison of Estimates of Costs involved between two Decommissioning Strategies for PWR type Nuclear Power Plants by M. V. A. de Oliveira, G. L. de Stefanni

“…Tool easily implemented by a spreadsheet-like code. Among the stages of the two strategies presented, the one with the greatest impact on the cost of the project is the stage referring to the transition period comprised by the decontamination tasks of the systems, equipment, and structure of the deactivated NPP. …”
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Rawums — “Wild Young People” in Literature. Pop-authors of the 1980s by Enno Stahl

“…Although there is no satisfactory definition of the term’s exact meaning, it has proven to be very successful as a code for marketing activities. The publishing house Kiepenheuer & Witsch played important role in the first successful wave of popliterature in the 1990s. …”
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Power of the Legend: the Tale of Sloven and Rus in Russian Chronicles of the 17th Century by Andrey P. Bogdanov

“…The fact that the attempt remake the tale in a scholarly way and to integrate it into the chronographic text was unique and unsuccessful makes us think that ancient scribes and readers of their works, like M.V. Lomonosov later, were attracted by the literary merits of this poetic legend. …”
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An Unambiguous Acquisition Algorithm for BOC Signal with Arbitrary Order by SHU Yi, HU Hui, XIE Hongqun, FU Yufei

“…Compared with SCPC, ASPeCT and BPSK- Like three traditional BOC signal unambiguous acquisition algorithms, the proposed algorithm has an increase in SNR performance of about 1. 5 ~4. 5 dBHz.…”
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Keying Merkle-Damgård at the Suffix by Bart Mennink

“… A classical way to turn a cryptographic hash function into a MAC (message authentication code) function is by concatenating key and message and interpreting the result as a tag. …”
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Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery by Yu Lin, Shuiyuan He, Weidong Luo

“…Experimental results on the NKSID sonar image dataset demonstrate DMCL’s superior performance compared to existing methods like PLUD, achieving improvements of 5.79% in Macro-F1 (89.47% vs. 83.68%), 3.38% in Normalized Accuracy (81.90% vs. 78.52%), 3.53% in OSCRmac (91.01% vs. 87.48%), and 5.87% in OSFM (93.21% vs. 87.34%). …”
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Between process and object: NFTs and the artification of digital assets by Bogna J. Gladden-Obidzińska

“…NFTs thus benefit from the contextualization of art as a socially and technologically mediated immaterial process: they emerge as instances of the artification of a non-artistic immaterial experience and become art-like. However, an NFT as a commodity is not pure code; it does have an image attached. …”
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Residual Compressive Strength of High-Strength Concrete Exposed to Elevated Temperatures by Hussein M. Elsanadedy

“…As in the case of NSC, however, high temperature adversely affects HSC mechanical properties even more than in NSC, as indicated by the many studies performed so far on HSC at high temperature (hot properties) or past a thermal cycle at high temperature (residual properties). Since many code provisions concerning concrete properties versus high temperature were developed for ordinary concrete and the available models (in terms of stress-strain relationship) come mostly from the tests on NSC—as the tests on HSC are less numerous—developing predictive relationships for HSC exposed to high temperature is still an open issue, especially with reference to many parameters affecting concrete compressive strength, like temperature as such, heating rate, water-to-binder ratio, and strength in compression, to cite the most relevant parameters. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…This work advances a scalable, RL-based framework with applications for quantum gravity studies and out-of-time-ordered thermal correlators computation in quantum many-body systems on near-term quantum hardware. The code is available at https://github.com/Aqasch/solving_SYK_model_with_RL repository.…”
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Local AI Governance: Addressing Model Safety and Policy Challenges Posed by Decentralized AI by Bahrad A. Sokhansanj

“…In this paper, we review how technical safeguards fail when users control the code, and regulatory frameworks cannot address decentralized systems as deployment becomes invisible. …”
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Ensemble-based eye disease detection system utilizing fundus and vascular structures by Hongjie Yu, Xingbo Dong

“…Abstract Retinal disorders, posing significant risks of the loss of vision or blindness, are increasingly prevalent, due to factors such as the aging population and chronic conditions like diabetes. Traditional diagnostic methods, relying on manually analyzing images, often have problems making an early detection and with their accuracy and efficiency, largely due to the subjectivity of human judgment and the time-consuming nature of the process. …”
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Adaptive Syndrome Extraction by Noah Berthusen, Shi Jie Samuel Tan, Eric Huang, Daniel Gottesman

“…In this work, we introduce adaptive syndrome extraction as a scheme to improve code performance and reduce the quantum error-correction cycle time by measuring only the stabilizer generators that are likely to provide useful syndrome information. …”
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Inhibitory and Bactericidal Effect of Aqueous Pepper Extract (Capsicum annum L.), Capsaicin, and Capsaicin Combination with Amoxicillin against Streptococcus pyogenes by Azadeh Notashfard1, Majid Nojavan Asghari1

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GDBMiner: Mining Precise Input Grammars on (Almost) Any System by Eisele, Max, Hägele, Johannes, Huth, Christopher, Zeller, Andreas

“…They are thus much more likely to be accepted by the program under test and to reach code beyond the input parser. …”
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Ion-kinetic modeling of Mercury’s magnetosphere: a reference for BepiColombo’s sixth flyby by Daniel Teubenbacher, Yasuhito Narita, Ali Varsani, Daniel Schmid, Gunter Laky, Willi Exner

“…Notably, the high-latitude plasma mantle exhibits a clear energy dispersion-like feature, with its structure sensitive to solar wind dynamic pressure. …”
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Aspect-Oriented Approach of Non-Functional Requirements for Embedded System-Based IoT Applications by Anirban Bhar, Sabnam Sengupta, Sankhayan Choudhury

“…Our novel contribution lies in refactoring crosscutting concerns&#x2014; task scheduling, resource management, and task synchronization &#x2014;into reusable aspects, achieving a Cohesion Index (CoI) increase from 0.19 (Java) to 0.69 (AspectJ), a 263% improvement, while reducing code tangling. By leveraging context primitives and behavior functions aligned with standards like OSEK OS, we address IoT challenges such as real-time criticality and resource scarcity Validated across a real-time audio switch and simulated FreeRTOS environments, our method outperforms traditional Java designs, cutting memory usage by 20% (24.25% to 20.01%) and CPU utilization by 9% (44% to 40%), with a 50% runtime reduction in critical tasks (e.g., <inline-formula> <tex-math notation="LaTeX">$92.03\mu $ </tex-math></inline-formula>s to <inline-formula> <tex-math notation="LaTeX">$46.19\mu $ </tex-math></inline-formula>s). …”
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PyCSBtool: Python-Based GUI Learning Tool for Basics Control System Education by C. H. Manathunga, R. A. D. D. Dharmasiri, W. K. Indika L. Wanniarachchi, M. K. Jayananda, Tadachika Nakayama

“…The tool has interactive graphs like root locus diagrams, step and impulse responses, and PID tuning, as well as pole-zero maps. …”
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Impact of Systematic Modeling Uncertainties on Kilonova Property Estimation by D. Brethauer, D. Kasen, R. Margutti, R. Chornock

“…This uncertainty introduces systematic errors in modeling transients like kilonovae and estimating key properties such as mass, characteristic velocity, and heavy metal content. …”
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