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Journal articles on the topic 'Number expression'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Overmann, Karenleigh A. "Numerosity Structures the Expression of Quantity in Lexical Numbers and Grammatical Number." Current Anthropology 56, no. 5 (October 2015): 638–53. http://dx.doi.org/10.1086/683092.

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2

Stewart, Michele M. "The expression of number in Jamaican Creole." Journal of Pidgin and Creole Languages 26, no. 2 (August 3, 2011): 363–85. http://dx.doi.org/10.1075/jpcl.26.2.05ste.

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In this paper I argue that there is no true number morphology in Jamaican Creole (JC). Instead, I show that dem, traditionally taken to be a plural marker, is more properly analyzed as a marker of inclusiveness, a defining characteristic of definiteness. These are expected outcomes of JC being in the class of languages which are claimed to have set nouns, i.e. nouns which, when combined with a numeral X, refer to an X-numbered set of individuals rather than to X number of individuals (Rijkhoff 2004). Since JC does not mark plurality in the same way as its lexifier English, individuation and number in JC cannot be analysed in the same way as is done for English. The proposal for a syntactic analysis of number in JC, given the above, is that functional structure above the NP provides for optional individuation via Cl(assifier)Phrase, and additionally for optional number specification, via Num(ber)Phrase.

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Henrichsen, C. N., E. Chaignat, and A. Reymond. "Copy number variants, diseases and gene expression." Human Molecular Genetics 18, R1 (April 15, 2009): R1—R8. http://dx.doi.org/10.1093/hmg/ddp011.

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4

Chaignat, E., E. A. Yahya-Graison, C. N. Henrichsen, J. Chrast, F. Schutz, S. Pradervand, and A. Reymond. "Copy number variation modifies expression time courses." Genome Research 21, no. 1 (November 17, 2010): 106–13. http://dx.doi.org/10.1101/gr.112748.110.

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5

Awad, Mohamed. "Hagen number versus Bejan number." Thermal Science 17, no. 4 (2013): 1245–50. http://dx.doi.org/10.2298/tsci1304245a.

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This study presents Hagen number vs. Bejan number. Although their physical meaning is not the same because the former represents the dimensionless pressure gradient while the latter represents the dimensionless pressure drop, it will be shown that Hagen number coincides with Bejan number in cases where the characteristic length (l) is equal to the flow length (L). Also, a new expression of Bejan number in the Hagen-Poiseuille flow will be introduced. At the end, extending the Hagen number to a general form will be presented. For the case of Reynolds analogy (Pr = Sc = 1), all these three definitions of Hagen number will be the same.

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6

Bowers, Lisa M., Kathleen LaPoint, Larry Anthony, Anna Pluciennik, and Marcin Filutowicz. "Bacterial expression system with tightly regulated gene expression and plasmid copy number." Gene 340, no. 1 (September 2004): 11–18. http://dx.doi.org/10.1016/j.gene.2004.06.012.

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7

Lehmer, Emma. "An indeterminate in number theory." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 46, no. 3 (June 1989): 469–72. http://dx.doi.org/10.1017/s1446788700030949.

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AbstractThis paper studies quintic residuacity of primes p of the form for which the expression for 4f modulo p given in the first volume of this journal becomes indeterminate, and replaces it by a much simpler expression.

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8

Hat, Beata, Pawel Paszek, Marek Kimmel, Kazimierz Piechor, and Tomasz Lipniacki. "How the Number of Alleles Influences Gene Expression." Journal of Statistical Physics 128, no. 1-2 (March 7, 2007): 511–33. http://dx.doi.org/10.1007/s10955-006-9218-4.

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9

Kubo, Susumu, and Katsuhiro Nishinari. "An algebraic expression of the number partitioning problem." Discrete Applied Mathematics 285 (October 2020): 283–96. http://dx.doi.org/10.1016/j.dam.2020.04.020.

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10

Srivatanakul, Metinee, Sung Hun Park, Maria G. Salas, and Roberta H. Smith. "Additional virulence genes influence transgene expression: transgene copy number, integration pattern and expression." Journal of Plant Physiology 157, no. 6 (December 2000): 685–90. http://dx.doi.org/10.1016/s0176-1617(00)80012-7.

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11

JIANG, Hua, Zong-lu SHA, and Ai-cheng XUAN. "Software watermarking algorithm based on inverse number of expression." Journal of Computer Applications 29, no. 12 (February 25, 2010): 3188–90. http://dx.doi.org/10.3724/sp.j.1087.2009.03188.

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12

Iskow, R. C., O. Gokcumen, A. Abyzov, J. Malukiewicz, Q. Zhu, A. T. Sukumar, A. A. Pai, et al. "Regulatory element copy number differences shape primate expression profiles." Proceedings of the National Academy of Sciences 109, no. 31 (July 13, 2012): 12656–61. http://dx.doi.org/10.1073/pnas.1205199109.

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13

K, Meenakshi, and Harisha CS. "Expression of Composite Number as Primes Using Hyper Graphs." International Journal of Soft Computing, Mathematics and Control 4, no. 1 (February 28, 2015): 1–12. http://dx.doi.org/10.14810/ijscmc.2015.4101.

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14

Cysouw, Michael. "The expression of person and number: a typologist’s perspective." Morphology 21, no. 2 (June 19, 2010): 419–43. http://dx.doi.org/10.1007/s11525-010-9170-5.

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15

González-Santander, J. L. "Maximum Temperature in Dry Surface Grinding for High Peclet Number and Arbitrary Heat Flux Profile." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8470493.

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Regarding heat transfer in dry surface grinding, simple asymptotic expressions of the maximum temperature for large Peclet numbers are derived. For this purpose, we consider the most common heat flux profiles reported in the literature, such as constant, linear, triangular, and parabolic. In the constant case, we provide a refinement of the expression given in the literature. In the linear case, we derive the same expression found in the literature, being the latter fitted by using a linear regression. The expressions for the triangular and parabolic cases are novel.

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16

da Silva, Ana Maria AF, and Tirupati Bolisetti. "A method for the formulation of Reynolds number functions." Canadian Journal of Civil Engineering 27, no. 4 (August 1, 2000): 829–33. http://dx.doi.org/10.1139/l00-002.

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A general method for the formulation of flow characteristics which are functions of the Reynolds number of the system is presented. It is assumed that the flow characteristics exhibit a strong variation with the Reynolds number when the Reynolds number is "small," and that they become independent of it when the Reynolds number is "large." The method is illustrated by finding mathematical expressions for the experimentally determined "roughness" function curve and for the sediment transport initiation curve (Shields' curve), which are relevant for the analysis of flow and sediment transport in pipes and open channels. The two expressions thus obtained can be used in practice for computational purposes.Key words: Reynolds number functions, mathematical expression, roughness function, Shields' curve.

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17

Wang, Yan, Jianchun Wang, Yanju Li, Ming Yu, Yancong Zhou, and Bo Zhang. "Facial expression recognition with fused handcraft features based on pixel difference local directional number pattern." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 113–23. http://dx.doi.org/10.3233/jifs-200713.

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Facial expression recognition (FER) has been an active research area in recent years, which plays a vital role in national security and human-computer interaction. Due to the lacking of sufficient expression features and facial images, it is challenging to automatically recognize facial expression with high accuracy. In this paper, we propose a fusion handcraft feature method to improve FER from images. Firstly, a new texture feature extraction method PD-LDN (Pixel Difference Local Directional Number pattern) is proposed, which can extract more local information, reduce noise disturbance and feature dimension. Secondly, the handcrafted features including PD-LDN texture features, geometric features, and BOVW (Bag of Visual Words) semantic features are connected in parallel to an improved autoencoder network for fusion. Finally, the fused features are input into the softmax classifier for recognizing facial expression. We conduct extensive experiments on JAFFE and CK+datasets. Our proposed method shows superior performance than the state-of-the-art approaches on recognizing facial expressions.

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18

Li, Weiwei, and Seon-ung Yi. "Comparative Linguistic Study on Number Expression in Korean and Chinese." Hanminjok Emunhak 80 (June 30, 2018): 129–57. http://dx.doi.org/10.31821/hem.80.5.

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19

Liu, Feng, and Lingbing Wang. "Biclustering of time-lagged gene expression data using real number." Journal of Biomedical Science and Engineering 03, no. 02 (2010): 217–20. http://dx.doi.org/10.4236/jbise.2010.32029.

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20

Jędrak, Jakub, and Anna Ochab-Marcinek. "Influence of gene copy number on self-regulated gene expression." Journal of Theoretical Biology 408 (November 2016): 222–36. http://dx.doi.org/10.1016/j.jtbi.2016.08.018.

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21

Wang, Dong, Xia Li, Shanshan Jia, Yan Wang, Zhijing Wang, Xixiao Song, and Liang Liu. "Copy number variants associated with epilepsy from gene expression microarrays." Journal of Clinical Neuroscience 22, no. 12 (December 2015): 1907–10. http://dx.doi.org/10.1016/j.jocn.2015.05.033.

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22

Toofan, Jahansooz. "A Simple Expression between Critical Radius Ratio and Coordination Number." Journal of Chemical Education 71, no. 2 (February 1994): 147. http://dx.doi.org/10.1021/ed071p147.

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23

Mauri, G., E. Valtorta, A. Sartore-Bianchi, G. Cerea, A. Amatu, M. Schirru, G. Marrapese, et al. "TRKA expression and NTRK1 gene copy number across solid tumors." Annals of Oncology 28 (September 2017): v600. http://dx.doi.org/10.1093/annonc/mdx391.015.

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24

TAKAMURE, Itsuro, and Toshiro KINOSHITA. "Inheritance and expression of reduced culm number character in rice." Ikushugaku zasshi 35, no. 1 (1985): 17–24. http://dx.doi.org/10.1270/jsbbs1951.35.17.

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25

Muminov, M. É. "Expression for the number of eigenvalues of a Friedrichs model." Mathematical Notes 82, no. 1-2 (July 2007): 67–74. http://dx.doi.org/10.1134/s0001434607070097.

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26

Manoukian, E. B., and N. Jearnkulprasert. "Explicit expression for the photon number emission in synchrotron radiation." Physics Letters A 268, no. 1-2 (April 2000): 35–36. http://dx.doi.org/10.1016/s0375-9601(00)00158-4.

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27

Riccadonna, S., G. Jurman, S. Merler, S. Paoli, A. Quattrone, and C. Furlanello. "Supervised classification of combined copy number and gene expression data." Journal of Integrative Bioinformatics 4, no. 3 (December 1, 2007): 168–85. http://dx.doi.org/10.1515/jib-2007-74.

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Summary In this paper we apply a predictive profiling method to genome copy number aberrations (CNA) in combination with gene expression and clinical data to identify molecular patterns of cancer pathophysiology. Predictive models and optimal feature lists for the platforms are developed by a complete validation SVM-based machine learning system. Ranked list of genome CNA sites (assessed by comparative genomic hybridization arrays – aCGH) and of differentially expressed genes (assessed by microarray profiling with Affy HG-U133A chips) are computed and combined on a breast cancer dataset for the discrimination of Luminal/ ER+ (Lum/ER+) and Basal-like/ER- classes. Different encodings are developed and applied to the CNA data, and predictive variable selection is discussed. We analyze the combination of profiling information between the platforms, also considering the pathophysiological data. A specific subset of patients is identified that has a different response to classification by chromosomal gains and losses and by differentially expressed genes, corroborating the idea that genomic CNA can represent an independent source for tumor classification.

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28

Auer, H. "Expression divergence and copy number variation in the human genome." Cytogenetic and Genome Research 123, no. 1-4 (2008): 278–82. http://dx.doi.org/10.1159/000184718.

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29

Butler, M. W., N. R. Hackett, J. Salit, Y. Strulovici-Barel, L. Omberg, J. Mezey, and R. G. Crystal. "Glutathione S-transferase copy number variation alters lung gene expression." European Respiratory Journal 38, no. 1 (February 24, 2011): 15–28. http://dx.doi.org/10.1183/09031936.00029210.

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30

Serrano, Nicholas Anthony, Chang Xu, John Houck, Pei Wang, Wenhong Fan, Yan Liu, and Pawadee Lohavanichbutr. "Association of DNA Copy Number and miRNA Expression in OSCC." Otolaryngology–Head and Neck Surgery 145, no. 2_suppl (August 2011): P60. http://dx.doi.org/10.1177/0194599811416318a63.

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31

Scheich, C., D. Kummel, D. Soumailakakis, U. Heinemann, and K. Bussow. "Vectors for co-expression of an unrestricted number of proteins." Nucleic Acids Research 35, no. 6 (March 1, 2007): e43-e43. http://dx.doi.org/10.1093/nar/gkm067.

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32

Mauri, Gianluca, Emanuele Valtorta, Giulio Cerea, Alessio Amatu, Michele Schirru, Giovanna Marrapese, Vincenzo Fiorillo, et al. "TRKA expression and NTRK1 gene copy number across solid tumours." Journal of Clinical Pathology 71, no. 10 (May 25, 2018): 926–31. http://dx.doi.org/10.1136/jclinpath-2018-205124.

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AimsNeurotrophic Tropomyosin Kinase Receptor 1 (NTRK1) gene encodes for the protein Tropomyosin-related kinase A (TRKA). Deregulated activity of TRKA has been shown to have oncogenic potential. We present here the results of an immunohistochemical (IHC) observational cohort study of TRKA expression together with gene copy number (GCN) assessment in various solid tumours.MethodsFormalin-fixed, paraffin-embedded consecutive samples of different tumour types were tested for TRKA expression. Samples showing TRKA IHC staining in at least 10% of cells were analysed by fluorescence in situ hybridisation to assess NTRK1 gene rearrangements and/or individual GCN gain. All patients underwent this molecular assessment within the phase I ALKA-001 clinical trial.Results1043 samples were tested and annotation for histology was available in 1023. Most of the samples were colorectal adenocarcinoma (CRC) (n=550, 52.7%) and lung adenocarcinoma (n=312, 29.9%). 24 samples (2.3%) were biliary tract carcinoma (BTC). Overall, 17 (1.6%) samples were characterised by TRKA IHC expression (four weak, eight moderate, five strong): 9/17 lung adenocarcinoma, 3/17 CRC, 3/17 BTC, 1/17 thyroid cancer and 1/17 cancer of unknown primary. Of these, 1/17 with strong TRKA IHC staining displayed NTRK1 gene rearrangement and 15/17 NTRK1 GCN gain by FISH. No correlation was found between intensity of TRKA IHC staining and number of copies of NTRK1.ConclusionsTRKA expression can be found in 1.6% of solid tumours and can be paralleled by NTRK1 gene rearrangements or mostly GCN gain. The prognostic and translational therapeutic impact of the latter remains to be established.

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33

Zhou, Xiaofeng, Steven W. Cole, Shen Hu, and David T. W. Wong. "Detection of DNA copy number abnormality by microarray expression analysis." Human Genetics 114, no. 5 (April 1, 2004): 464–67. http://dx.doi.org/10.1007/s00439-004-1087-9.

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34

Berg, Patricia E., Michael Sheffery, Rebecca S. King, Yu Gong, and W. French Anderson. "The expression of integrated plasmid DNA depends on copy number." Experimental Cell Research 168, no. 2 (February 1987): 376–88. http://dx.doi.org/10.1016/0014-4827(87)90010-3.

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35

Ju, Wang, Ding Rui, and Chun Yan Nie. "Research on the Facial Expression Feature Extraction of Facial Expression Recognition Based on MATLAB." Advanced Materials Research 1049-1050 (October 2014): 1522–25. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1522.

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In such a developed day of information communication, communication is an important essential way of interpersonal communication. As a carrier of information, expression is rich in human behavior information. Facial expression recognition is a combination of many fields, but also a new topic in the field of pattern recognition. This paper mainly studied the facial feature extraction based on MATLAB, by MATLAB software, extracting the expression features through a large number of facial expressions, which can be divided into different facial expressions more accurate classification .

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36

Pham, Gina M., Linsey Newton, Krystle Wiegert-Rininger, Brieanne Vaillancourt, David S. Douches, and C. Robin Buell. "Extensive genome heterogeneity leads to preferential allele expression and copy number-dependent expression in cultivated potato." Plant Journal 92, no. 4 (October 16, 2017): 624–37. http://dx.doi.org/10.1111/tpj.13706.

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37

Ekblad, E., R. Sjuve, A. Arner, and F. Sundler. "Enteric neuronal plasticity and a reduced number of interstitial cells of Cajal in hypertrophic rat ileum." Gut 42, no. 6 (June 1, 1998): 836–44. http://dx.doi.org/10.1136/gut.42.6.836.

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Background—Partial obstruction of the ileum causes a notable hypertrophy of smooth muscle cells and enteric neurones in the proximally located intestine.Aims—To study the expression of neuromessengers in the hypertrophic ileum of rat as little is known about neuromessenger plasticity under these conditions. To investigate the presence of interstitial cells of Cajal (ICC) in hypertrophic ileum.Methods—Ileal hypertrophy was induced by circumferential application of a strip of plastic film for 18–24 days. Immunocytochemistry, in situ hybridisation, nicotinamide adenine dinucleotide phosphate (NADPH) diaphorase histochemistry, and ethidium bromide staining were used to investigate the number of enteric neurones expressing neuropeptides and nitric oxide synthase, and the frequency of ICC.Results—In the hypertrophic ileum several neuronal populations showed changes in their expression of neuromessengers. Myenteric neurones expressing vasoactive intestinal peptide (VIP), pituitary adenylate cyclase activating peptide, and galanin were notably increased in number. In submucous ganglia the number of VIP immunoreactive neurones decreased while those expressing VIP mRNA increased. NADPH diaphorase positive submucous neurones increased dramatically while the number of neuronal type nitric oxide synthase expressing ones was unchanged. The number of ICC decreased notably in hypertrophic ileum.Conclusion—Enteric neurones change their levels of expression of neuromessengers in hypertrophic ileum. ICC are also affected. The changes are presumably part of an adaptive response to the increased work load.

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38

Akkinepalli, Harika, Nelzo Ereful, Yan Liu, Kaye Malabanan, Rhian Howells, Konstantina Stamati, Wayne Powell, et al. "Snapshots of gene expression in rice: limitations for allelic expression imbalance determination." Genome 55, no. 5 (May 2012): 400–406. http://dx.doi.org/10.1139/g2012-023.

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In an initial investigation of differential expression of genes caused by cis-acting regulatory elements in rice, the lack of reproducibility led us to question the basic premise of allelic expression imbalance determination: namely that departures of cDNA expression ratios from those observed in genomic DNA provide unequivocal evidence of cis-acting polymorphisms. This paper describes experiments designed to demonstrate that stochastic variation in low copy number of targets in PCR reactions give variable allelic ratios even when starting with the same copy numbers of the two alleles. These significant departures from an expected 1:1 ratio provide an explanation to the lack of reproducibility observed for our cDNA measurements.

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39

Conde, Lucía, David Montaner, Jordi Burguet Castell, Joaquín Tárraga, Fátima Al Shahrour, and Joaquín Dopazo. "Functional profiling and gene expression analysis of chromosomal copy number alterations." Bioinformation 1, no. 10 (April 10, 2007): 432–35. http://dx.doi.org/10.6026/97320630001432.

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40

Fronczak, Agata, and Piotr Fronczak. "Exact expression for the number of energy states in lattice models." Reports on Mathematical Physics 73, no. 1 (February 2014): 1–9. http://dx.doi.org/10.1016/s0034-4877(14)60028-8.

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41

Gulyás, Dániel, Béla Kocsis, and Dóra Szabó. "Plasmid copy number andqnrgene expression in selection of fluoroquinolone-resistantEscherichia coli." Acta Microbiologica et Immunologica Hungarica 66, no. 2 (June 2019): 169–78. http://dx.doi.org/10.1556/030.65.2018.049.

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42

Peterson, Samuel M., and Jennifer L. Freeman. "Chemical Exposure Generates DNA Copy Number Variants and Impacts Gene Expression." Advances in Toxicology 2014 (December 30, 2014): 1–13. http://dx.doi.org/10.1155/2014/984319.

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DNA copy number variation is long associated with highly penetrant genomic disorders, but it was not until recently that the widespread occurrence of copy number variation among phenotypically normal individuals was realized as a considerable source of genetic variation. It is also now appreciated that copy number variants (CNVs) play a role in the onset of complex diseases. Many of the complex diseases in which CNVs are associated are reported to be influenced by yet to be identified environmental factors. It is hypothesized that exposure to environmental chemicals generates CNVs and influences disease onset and pathogenesis. In this study a proof of principle experiment was completed with ethyl methanesulfonate (EMS) and cytosine arabinoside (Ara-C) to investigate the generation of CNVs using array comparative genomic hybridization (CGH) and the zebrafish vertebrate model system. Exposure to both chemicals resulted in CNVs. CNVs were detected in similar genomic regions among multiple exposure concentrations with EMS and five CNVs were common among both chemicals. Furthermore, CNVs were correlated to altered gene expression. This study suggests that chemical exposure generates CNVs with impacts on gene expression warranting further investigation of this phenomenon with environmental chemicals.

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43

Tremmel, R., K. Klein, S. Winter, E. Schaeffeler, and U. M. Zanger. "Gene copy number variation analysis reveals dosage-insensitive expression of CYP2E1." Pharmacogenomics Journal 16, no. 6 (October 27, 2015): 551–58. http://dx.doi.org/10.1038/tpj.2015.69.

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44

Orozco, Luz D., Shawn J. Cokus, Anatole Ghazalpour, Leslie Ingram-Drake, Susanna Wang, Atila van Nas, Nam Che, Jesus A. Araujo, Matteo Pellegrini, and Aldons J. Lusis. "Copy number variation influences gene expression and metabolic traits in mice." Human Molecular Genetics 18, no. 21 (July 31, 2009): 4118–29. http://dx.doi.org/10.1093/hmg/ddp360.

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45

Huse, K., M. Groth, C. Wiegand, K. Szafranski, P. Rosenstiel, and S. Schreiber. "Both copy number and sequence variation determine expression of human DEFB4." New Biotechnology 27 (April 2010): S41. http://dx.doi.org/10.1016/j.nbt.2010.01.058.

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46

Pena, Ramona N., John Webster, Stephen Kwan, Jan Korbel, and Bruce A. Whitelaw. "Transgene Methylation in Mice Reflects Copy Number But Not Expression Level." Molecular Biotechnology 26, no. 3 (2004): 215–20. http://dx.doi.org/10.1385/mb:26:3:215.

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47

Zamparo, L., and T. J. Perkins. "Statistical lower bounds on protein copy number from fluorescence expression images." Bioinformatics 25, no. 20 (July 2, 2009): 2670–76. http://dx.doi.org/10.1093/bioinformatics/btp415.

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48

Linn, Sabine C., Rob B. West, Jonathan R. Pollack, Shirley Zhu, Tina Hernandez-Boussard, Torsten O. Nielsen, Brian P. Rubin, et al. "Gene Expression Patterns and Gene Copy Number Changes in Dermatofibrosarcoma Protuberans." American Journal of Pathology 163, no. 6 (December 2003): 2383–95. http://dx.doi.org/10.1016/s0002-9440(10)63593-6.

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McIntyre, A., B. Summersgill, Y. J. Lu, E. Missiaglia, S. Kitazawa, J. W. Oosterhuis, L. H. Looijenga, and J. Shipley. "Genomic copy number and expression patterns in testicular germ cell tumours." British Journal of Cancer 97, no. 12 (December 2007): 1707–12. http://dx.doi.org/10.1038/sj.bjc.6604079.

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Ye, Jun, Jiqian Chen, Rui Yong, and Shigui Du. "Expression and Analysis of Joint Roughness Coefficient Using Neutrosophic Number Functions." Information 8, no. 2 (June 20, 2017): 69. http://dx.doi.org/10.3390/info8020069.

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