7 results on '"Yining Hu"'
Search Results
2. HSDecipher: A pipeline for comparative genomic analysis of highly similar duplicate genes in eukaryotic genomes
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Xi Zhang, Yining Hu, Zhenyu Cheng, and John M. Archibald
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General Immunology and Microbiology ,General Neuroscience ,General Biochemistry, Genetics and Molecular Biology - Published
- 2023
- Full Text
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3. Transcendence of L(1,χ)/Π and automata
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Yining Hu
- Subjects
symbols.namesake ,Pure mathematics ,Algebra and Number Theory ,Finite field ,Property (philosophy) ,Transcendence (philosophy) ,Laurent series ,symbols ,Field (mathematics) ,Dirichlet distribution ,Real number ,Mathematics ,Automaton - Abstract
For the field of formal Laurent series over a finite field, Carlitz defined Π, an analogue of the real number π, and Goss defined analogues of Dirichlet L functions. Damamme proved the transcendence of L ( 1 , χ s ) / Π using the criteria of de Mathan. In this article we give a proof of the transcendence of L ( 1 , χ s ) / Π based on the Theorem of Christol and another property of k-automatic sequences.
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- 2018
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4. TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
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Xi Zhang, Yining Hu, Laura Eme, Shinichiro Maruyama, Robert J.M. Eveleigh, Bruce A. Curtis, Shannon J. Sibbald, Julia F. Hopkins, Gina V. Filloramo, Klaas J. van Wijk, John M. Archibald, Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Southeast University [Jiangsu], Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Tohoku University [Sendai], Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada, Dalhousie University [Halifax], Center for Comparative Genomics and Evolutionary Bioinformatics, Dalhousie University, and Department of Plant Biology
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Q1-390 ,ComputingMethodologies_PATTERNRECOGNITION ,Science (General) ,General Immunology and Microbiology ,Bioinformatics ,[SDV]Life Sciences [q-bio] ,General Neuroscience ,Computational Biology ,Evolutionary biology ,Genomics ,Systems biology ,Phylogeny ,General Biochemistry, Genetics and Molecular Biology - Abstract
Summary: Various bioinformatics protocols have been developed for trimming the number of operational taxonomic units (OTUs) in phylogenetic datasets, but they typically require significant manual intervention. Here we present TreeTuner, a semiautomated pipeline that allows both coarse and fine-scale tuning of large protein sequence phylogenetic datasets via the minimization of OTU redundancy. TreeTuner facilitates preliminary investigation of such datasets as well as more rigorous downstream analysis of specific subsets of OTUs.For complete details on the use and execution of this protocol, please refer to Maruyama et al. (2013) and Sibbald et al. (2019).
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- 2022
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5. Sparse-view X-ray CT reconstruction with Gamma regularization
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Jean-Louis Coatrieux, Jian Yang, Limin Luo, Yang Chen, Yining Hu, Junfeng Zhang, Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Southeast University [Jiangsu]-Ministry of Education of China, Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Beijing Institute of Technology (BIT), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), This research was supported by National Basic Research Program of China under grant (2010CB732503), National Natural Science Foundation under Grant of China (61401085, 31100713, 81370040, 81530060, 61405033), in part by the Key Projects in the National Science and Technology Pillar Program of China (2013BAI01B01), the Open Fund of China-USA Computer Science Research Center of (KJR16026), Natural Science Foundation in Jiangsu Province under Grant (BK20130629), the Fundamental Research Funds for the Central Universities, and the Qing Lan Project in Jiangsu Province., Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Jonchère, Laurent
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Projection views ,CT reconstruction ,Ill posed problem ,Tv regularizations ,Underdetermined system ,Cognitive Neuroscience ,Fast scanning ,l 2-norm ,02 engineering and technology ,X ray computerized tomography ,Regularization (mathematics) ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Sparse-view reconstruction ,Computer vision ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,Mathematics ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,business.industry ,Gamma rays ,Gamma ray ,Computerized tomography ,Computer Science Applications ,Gamma regularization ,Simulated data ,X Ray Computerized Tomography ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,Tomography ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Ct reconstruction - Abstract
International audience; By providing fast scanning with low radiation doses, sparse-view (or sparse-projection) reconstruction has attracted much research attention in X-ray computerized tomography (CT) imaging. Recent contributions have demonstrated that the total variation (TV) constraint can lead to improved solution by regularizing the underdetermined ill-posed problem of sparse-view reconstruction. However, when the projection views are reduced below certain numbers, the performance of TV regularization tends to deteriorate with severe artifacts. In this paper, we explore the applicability of Gamma regularization for the sparse-view CT reconstruction. Experiments on simulated data and clinical data demonstrate that the Gamma regularization can lead to good performance in sparse-view reconstruction.
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- 2017
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6. Patterns in numbers and infinite sums and products
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Yining Hu
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Polynomial ,Algebra and Number Theory ,Mathematics - Number Theory ,Degree (graph theory) ,010102 general mathematics ,Infinite product ,0102 computer and information sciences ,Function (mathematics) ,01 natural sciences ,Combinatorics ,Base (group theory) ,Integer ,010201 computation theory & mathematics ,FOS: Mathematics ,Number Theory (math.NT) ,0101 mathematics ,Finite set ,Word (group theory) ,Mathematics - Abstract
Text Let a w , B ( n ) denote the number of occurrences of the word w in the base B expansion of the non-negative integer n. In this article we generalize the results of Allouche and Shallit [2] by proving the existence of a finite set L w , B of pairs ( l , c l ) where l is a polynomial with integer coefficients of degree 1 and c l an integer such that: ∑ n ≥ 0 ( − 1 ) a w , B ( n ) ∑ ( l , c l ) ∈ L w , B c l f ( l ( n ) ) = { 0 if w ≠ 0 j , − 2 ⋅ ( − 1 ) a w , B ( 0 ) f ( 0 ) if w = 0 j where f is any function that verifies certain convergence conditions. After exponentiating, we recover previous results and obtain new ones such as ∏ n ≥ 1 ( 3 n + 1 3 n + 2 ) ( − 1 ) n = 2 3 , and ∏ n ≥ 1 ( 9 n + 7 9 n + 8 ) ( − 1 ) a 21 , 3 ( n ) = 8 7 3 . Video For a video summary of this paper, please visit https://youtu.be/0wXL7xPkooc .
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- 2016
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7. Rotating ring-disk studies of oxidized nickel hydrous oxide: oxygen evolution and pseudocapacitance
- Author
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Yining Hu, Daniel Alberto Scherson, and Yuriy V. Tolmachev
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Horizontal scan rate ,Rotating ring-disk electrode ,Chemistry ,General Chemical Engineering ,Non-blocking I/O ,Analytical chemistry ,Oxide ,chemistry.chemical_element ,Electrochemistry ,Pseudocapacitance ,Analytical Chemistry ,chemistry.chemical_compound ,Nickel ,Electrode - Abstract
A rotating ring-disk electrode (RRDE) method is herein described for studies of O 2 evolution on nickel hydrous oxide films, NiO x (hydr.), electrodeposited on the gold disk of a Au–Au RRDE in aqueous 1.0 M KOH. This technique relies on the quantitative detection of O 2 generated at the NiO x (hydr.) ∣ Au disk electrode during a linear potential scan, by the concentric, bare Au-ring electrode, which can then be used to determine contributions to the disk current ( I disk ) derived solely from O 2 evolution. Subtraction of such contributions from I disk in the potential range positive to the trailing edge of the peak ascribed to the oxidation of the NiO x (hydr.) film revealed a constant, positive current when the voltage was scanned in the positive direction, and a constant, negative current, albeit of smaller magnitude, in the subsequent scan in the negative direction. This observation suggests that once account is made for O 2 evolution, the NiO x (hydr.) ∣ Au-electrolyte interface in that potential range (0.5–0.65 V vs. Hg ∣ HgO,OH − ), behaves as a (pseudo) capacitor, a model that was further confirmed by monitoring the current as a function of the scan rate. The actual values of this pseudocapacitance were found to be on the order of ca. 80 kF mol −1 Ni sites in the film (or equivalently, ca. 0.1 e − per Ni site within the potential range specified above) and, thus, very similar to those reported earlier based on current interruption-potential decay and impedance measurements for O 2 evolution on NiO x (hydr.) grown on Ni electrodes. Implications of these results to the mechanism of self-discharge of NiO x (hydr.) electrodes for alkaline secondary batteries are discussed.
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- 1999
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