214,707 research outputs found
New Liu Estimators for the Poisson Regression Model: Method and Application
No full textA new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical maximum likelihood (ML) method in the presence of multicollinearity since the mean squared error (MSE) of ML becomes inflated in that situation. Furthermore, this paper derives the optimal value of the shrinkage parameter and based on this value some methods of how the shrinkage parameter should be estimated are suggested. Using Monte Carlo simulation where the MSE and mean absolute error (MAE) are calculated it is shown that when the Liu estimator is applied with these proposed estimators of the shrinkage parameter it always outperforms the ML. Finally, an empirical application has been considered to illustrate the usefulness of the new Liu estimators.Estimation; MSE; MAE; Multicollinearity; Poisson; Liu; Simulation
Liu Kang
No full textLiu Kang: Essays on Art and Culture is a testament to the inexorable passion of an artist who knew no boundaries. This collection of essays, which Liu Kang wrote over 44 years, offers an insight into the artist’s myriad interests as well as his contributions as a first generation Nanyang artist and art educator. Translated into English for this volume, Liu Kang’s essays are accompanied by commentaries and photographs of the artist-author and his subjects
Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets. Liu et al.
No full textThis dataset contains computational models and data for the following papers:
Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets
Ge Liu, Brandon Carter, David K. Gifford
Cell Systems, 2020
https://doi.org/10.1016/j.cels.2020.11.010
Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions
Ge Liu, Brandon Carter, Trenton Bricken, Siddhartha Jain, Mathias Viard, Mary Carrington, David K. Gifford
Cell Systems, 2020
https://doi.org/10.1016/j.cels.2020.06.009
Additional source code is available at https://github.com/gifford-lab/optivax. Haplotype frequency data are available at http://dx.doi.org/10.17632/cfxkfy9zp4.1
Please cite the relevant papers if you use these data
Difference based Ridge and Liu type Estimators in Semiparametric Regression Models
No full textWe consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε. Both estimators are analysed and compared in the sense of mean-squared error. We consider the case of independent errors with equal variance and give conditions under which the proposed estimators are superior to the unbiased difference based estimation technique. We extend the results to account for heteroscedasticity and autocovariance in the error terms. Finally, we illustrate the performance of these estimators with an application to the determinants of electricity consumption in Germany.Difference based estimator; Differencing estimator, Differencing matrix, Liu estimator, Liu type estimator, Multicollinearity, Ridge regression estimator, Semiparametric model
Conocephalus (Conocephalus) xiai Liu et Zhang 2007
No full textConocephalus (Conocephalus) xiai Liu et Zhang, 2007 (Figs. G) Conocephalus xiai Liu et Zhang, 2007: 439. Distribution: China (Anhui). Conocephalus (Conocephalus) brevivalva (Shi et al., 2005) comb. nov. (Figs. 1–2, A, G) Conanalus brevivalva Shi et al., 2005: 84Published as part of Zhou, Min, Bi, Wen-Xuan & Liu, Xia-Wei, 2010, The genus Conocephalus (Orthoptera, Tettigonioidea) in China, pp. 49-60 in Zootaxa 2527 on page 51, DOI: 10.5281/zenodo.19645
Author response
No full textDetecting pathogens and mounting immune responses upon infection is crucial for animal health. However, these responses come at a high metabolic price (McKean and Lazzaro, 2011, Kominsky et al., 2010), and avoiding pathogens before infection may be advantageous. The bacterial endotoxins lipopolysaccharides (LPS) are important immune system infection cues (Abbas et al., 2014), but it remains unknown whether animals possess sensory mechanisms to detect them prior to infection. Here we show that Drosophila melanogaster display strong aversive responses to LPS and that gustatory neurons expressing Gr66a bitter receptors mediate avoidance of LPS in feeding and egg laying assays. We found the expression of the chemosensory cation channel dTRPA1 in these cells to be necessary and sufficient for LPS avoidance. Furthermore, LPS stimulates Drosophila neurons in a TRPA1-dependent manner and activates exogenous dTRPA1 channels in human cells. Our findings demonstrate that flies detect bacterial endotoxins via a gustatory pathway through TRPA1 activation as conserved molecular mechanism.sponsorship: Vlaams Instituut voor Biotechnologie Alessia Soldano Luis Franco Guangda Liu Natalia Mora Emre Yaksi Bassem A Hassanr Fonds Wetenschappelijk Onderzoek G.0702.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0077.15 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0680.10 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0681.10 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0503.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0654.15 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0761.10N Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0596.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0565.07 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar KU Leuven GOA/14/011 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar European Commission IUAP P7/13 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekensr KU Leuven OT/12/091 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar KU Leuven PF-TRPLe Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talavera (Vlaams Instituut voor Biotechnologie, Fonds Wetenschappelijk Onderzoek|G.0702.12, Fonds Wetenschappelijk Onderzoek|G.0077.15, Fonds Wetenschappelijk Onderzoek|G.0680.10, Fonds Wetenschappelijk Onderzoek|G.0681.10, Fonds Wetenschappelijk Onderzoek|G.0503.12, Fonds Wetenschappelijk Onderzoek|G.0654.15, Fonds Wetenschappelijk Onderzoek|G.0761.10N, Fonds Wetenschappelijk Onderzoek|G.0596.12, KU Leuven|GOA/14/011, KU Leuven|OT/12/091, European Commission|IUAP P7/13, KU Leuven PF-TRPLe)status: Publishe
Conocephalus (Conocephalus) sulcifrontis Xia et Liu 1992
No full textConocephalus (Conocephalus) sulcifrontis Xia et Liu, 1992 (Figs. G) Conocephalus sulcifrontis Xia et Liu, 1992: 163 Distribution: China (Shanghai, Jiangsu).Published as part of Zhou, Min, Bi, Wen-Xuan & Liu, Xia-Wei, 2010, The genus Conocephalus (Orthoptera, Tettigonioidea) in China, pp. 49-60 in Zootaxa 2527 on page 52, DOI: 10.5281/zenodo.19645
Grandilithus nonggan g (Liu, Xu, Xiao, Yin & Peng 2019
No full text<p> <i> <i>Grandilithus nonggan</i> g</i> <b>(Liu, Xu, Xiao, Yin & Peng, 2019)</b></p> <p>(Figs 3, 21)</p> <p> <i>Otacilia nonggang</i> Liu <i>et al.</i>, 2019: 449, figs 11−13 (♁ ♀, type deposition in HNU).</p> <p> <i>Grandilithus nonggang</i>: Liu <i>et al.</i>, 2022: Suppl. 2: 39, figs 135a−d, 136d−f (Transfer from <i>Otacilia</i>)</p> <p> <b>Material examined.</b> China, Guangxi Zhuang Autonomous Region, Nanning City, Shanglin County, Damingshan National Natural Reserve. 1 ♁, 2 ♀: Ganlan Station, 23°33'1.08"N, 108°25'37.03"E, 501, 7.11.2018; 4 ♀: Xiyan Station, Shuiyuan Village, 23°24'39.88"N, 108°31'48.33"E, 517 m, 9.11.2018; 1 ♁: Jilong Station, 23°26'5.27"N, 108°26'32.64"E, 591 m, 5.11.2018. Holotype examined.</p> <p> <b>Diagnosis and description.</b> See Liu <i>et al.</i> (2019) for both sexes. Male palp as in Fig. 3A, B.</p> <p> <b>Supplement data.</b> Retrolateral tibial apophysis (RTA) with the tip bent at a right-angle in ventral view (Fig. 3A). Retrolateral tegular apophysis (rTA) with a broad base and thin apex (Fig. 3B).</p> <p> <b>Distribution.</b> Known only from Guangxi Zhuang Autonomous Region, China (Fig. 21).</p>Published as part of <i>Liu, Keke, Xu, Xiang & Yin, Haiqiang, 2023, A survey of the Phrurolithidae (Arachnida: Araneae) of Damingshan National Natural Reserve, south China, pp. 511-536 in Zootaxa 5278 (3)</i> on page 514, DOI: 10.11646/zootaxa.5278.3.5, <a href="http://zenodo.org/record/7906649">http://zenodo.org/record/7906649</a>
Phoebus 10: A Journal of Art History
No full texttableOfContents: Homage to the Past: The Art of Yin Xiaofeng by Ralph Gabbard and Liu Liu.. pages 5-1
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