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Relevant bibliographies by topics / Nakamura's algorithm

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Journal articles

Academic literature on the topic 'Nakamura's algorithm'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Nakamura's algorithm"

1

KĘDZIERSKI, OSKAR. "THE G-HILBERT SCHEME FOR." Glasgow Mathematical Journal 53, no. 1 (2010): 115–29. http://dx.doi.org/10.1017/s0017089510000571.

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AbstractFollowing Craw, Maclagan, Thomas and Nakamura's works[2, 7] on Hilbert schemes for abelian groups, we give an explicit description of theHilbGℂ3 scheme for G = 〈diag(ϵ, ϵa, ϵr−a)〉 by a classification of all G-sets. We describe how the combinatorial properties of the fan of HilbGℂ3 relates to the Euclidean algorithm.

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T., V. Obikhod. "Hilbert Scheme and Multiplet Matter Content." Physical Science International Journal 15, no. 1 (2017): 1–8. https://doi.org/10.9734/PSIJ/2017/34248.

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Development of the concept of Euler characteristic, from the Euclidean geometry to the algebraic geometry is considered. A singular toric variety is studied within the framework of the algebraic geometry. Procedure of the blowing up of its singularities in terms of cones is represented by Hilbert scheme. Special cases of the blowing up of orbifold singularities of C<sup>3</sup>/Z<sup>n </sup>using Nakamura’s algorithm are performed. Hilbert schemes and their physical interpretation in terms of Euler characteristic are presented.

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Nakamura, Atsuyoshi, Ichigaku Takigawa, and Hiroshi Mamitsuka. "Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 5240–47. http://dx.doi.org/10.1609/aaai.v34i04.5969.

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We propose new frequent substring pattern mining which can enumerate all substrings with statistically significant frequencies of their locally optimal occurrences from a given single sequence. Our target application is genome sequences, around a half being said to be covered by interspersed and consecutive (tandem) repeats, and detecting these repeats is an important task in molecular life sciences. We evaluate the statistical significance of frequent substrings by using a string generation model with a memoryless stationary information source. We combine this idea with an existing algorithm,

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4

Imbrogno, Mario, Rita Megale, Luca Del Zanna, and Sergio Servidio. "A Novel Logarithmic Approach to General Relativistic Hydrodynamics in Dynamical Spacetimes." Universe 11, no. 6 (2025): 194. https://doi.org/10.3390/universe11060194.

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We introduce a novel logarithmic approach within the Baumgarte–Shapiro–Shibata–Nakamura (BSSN) formalism for self-consistently solving the equations of general relativistic hydrodynamics (GRHD) in evolving curved spacetimes. This method employs a “3 + 1” decomposition of spacetime, complemented by the “1 + log” slicing condition and Gamma-driver shift conditions, which have been shown to improve numerical stability in spacetime evolution. A key innovation of our work is the logarithmic transformation applied to critical variables such as rest-mass density, energy density, and pressure, thus pr

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Khan, Sarfraz, Muhammad Waseem, Shahzad Khalid, Denise-Penelope N. Kontoni, Mahmood Ahmad, and Suraparb Keawsawasvong. "Fuzzy Clustering Analysis of HVSR Data for Seismic Microzonation at Lahore City." Shock and Vibration 2022 (October 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/3109609.

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A microzonation study deals with the classification of hazards in a town or city in terms of surface ground motions that result from amplification and resonance frequency in soils against seismic tremors. This paper presents the result of a microzonation study in terms of resonance frequency and peak amplitude for Lahore city, Pakistan. In order to recognize the local soil effects of the covered geology at 159 sites in Lahore city, the horizontal-to-vertical spectral ratio (HVSR) Nakamura method was implemented. A fuzzy C-mean (FCM) clustering algorithm was adopted to obtain the best cluster s

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ALI, N., M. SAJID, Z. ABBAS, and O. ANWAR BÉG. "SWIMMING DYNAMICS OF A MICRO-ORGANISM IN A COUPLE STRESS FLUID: A RHEOLOGICAL MODEL OF EMBRYOLOGICAL HYDRODYNAMIC PROPULSION." Journal of Mechanics in Medicine and Biology 17, no. 03 (2017): 1750054. http://dx.doi.org/10.1142/s0219519417500543.

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Mathematical simulations of embryological fluid dynamics are fundamental to improving clinical understanding of the intricate mechanisms underlying sperm locomotion. The strongly rheological nature of reproductive fluids has been established for a number of decades. Complimentary to clinical studies, mathematical models of reproductive hydrodynamics provide a deeper understanding of the intricate mechanisms involved in spermatozoa locomotion which can be of immense benefit in clarifying fertilization processes. Although numerous non-Newtonian studies of spermatozoa swimming dynamics in non-New

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7

Wang, Y., T. Shi, J. Deng, et al. "AB0390 COST-EFFECTIVENESS OF IGURATIMOD IN PATIENTS WITH RHEUMATOID ARTHRITIS (RA) BY USING A CLAIMS-BASED ALGORITHM: RETROSPECTIVE ANALYSIS OF REAL‑WORLD DATA." Annals of the Rheumatic Diseases 81, Suppl 1 (2022): 1323.1–1323. http://dx.doi.org/10.1136/annrheumdis-2022-eular.859.

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BackgroundIguratimod (IGU), as one of the conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), has been approved by National Medical Products Administration (NMPA) to treat Rheumatoid arthritis (RA).ObjectivesThis study aimed to compare the cost-effectiveness of well-established RA therapies using a claims-based algorithm in RA patients.MethodsAn electronic medical record (EMR) database from Zhujiang Hospital was utilized to estimate the cost-effectiveness of medication for RA patients, including IGU with MTX, biological DMARDs (bDMARDs) with MTX, and MTX alone for more tha

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8

Kawanabe-Matsuda, Hirotaka, Takehiro Yokoo, Shogi Tou, et al. "Abstract 6688: Peripheral CCR6+ T-cell profile in healthy volunteers after ingestion of Lactobacillus-derived exopolysaccharide which was reported as an ICI-efficacy enhancer in vivo." Cancer Research 84, no. 6_Supplement (2024): 6688. http://dx.doi.org/10.1158/1538-7445.am2024-6688.

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Abstract Introduction: Exopolysaccharides (EPS) are high-molecular-weight polymers composed of sugar residues secreted by bacteria into the surrounding environment. We (Juntendo University and Meiji Holdings) recently reported that oral administration of EPS derived from Lactobacillus delbrueckii subsp. bulgaricus OLL1073R-1 (R-1EPS) enhanced therapeutic efficacies of immune-checkpoint inhibitors (ICIs) in vivo (Kawanabe-Matsuda et al. Cancer Discov. 2022.). Briefly, R-1EPS increased CCR6+ CD8+ T cells in the small intestine, and these T cells migrated into the tumor tissue to improve the immu

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Hiranuka, Kazushi, Keigo Takahashi, Dave Tang, et al. "Abstract 6389: A novel computational pipeline supported with in vivo vaccination models for identification and validation of neoantigens." Cancer Research 82, no. 12_Supplement (2022): 6389. http://dx.doi.org/10.1158/1538-7445.am2022-6389.

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Abstract Background: Personalized neoantigen-based therapies are being actively developed with several clinical trials currently ongoing. The standard methodology to identify patient specific neoantigens relies on computational algorithms for analyzing mutation, expression, and HLA profiles from patients’ NGS data. However, clinical reports have thus far showed that the number of actionable neoantigens was not as high as originally expected. One possible reason is due to a lack of appropriate prediction models, especially for immunogenicity, which is largely hindered by a scarcity of training

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Mishima, Yuji, Fumiko Isoda, Noriko Matsumoto, et al. "Abstract 3552: Personalized neoantigen cancer vaccine assembled on DC targeting antibody improves cancer immunity." Cancer Research 82, no. 12_Supplement (2022): 3552. http://dx.doi.org/10.1158/1538-7445.am2022-3552.

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Abstract Background: Personalized neoantigen cancer vaccines have recently showed marked therapeutic potential in both preclinical and early phase clinical studies. However, significant challenges remain in the accurate prediction of neoepitopes and the efficient delivery of the vaccine components for eliciting potent antitumor T cell responses. To overcome these challenges, we have developed novel vaccine platform designated BP1209, which is characterized by being composed of neoantigen peptides that contain a high affinity binding motif for human antibodies. Methods: We developed vaccine wit

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