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  • 1
    Publication Date: 2015-04-09
    Description: Analytical Chemistry DOI: 10.1021/acs.analchem.5b00162
    Print ISSN: 0003-2700
    Electronic ISSN: 1520-6882
    Topics: Chemistry and Pharmacology
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  • 2
    Publication Date: 2012-07-18
    Description: Inflammation is a major factor in heart disease. IκB kinase (IKK) and its downstream target NF-κB are regulators of inflammation and are activated in cardiac disorders, but their precise contributions and targets are unclear. We analyzed IKK/NF-κB function in the heart by a gain-of-function approach, generating an inducible transgenic mouse model with cardiomyocyte-specific expression of constitutively active IKK2. In adult animals, IKK2 activation led to inflammatory dilated cardiomyopathy and heart failure. Transgenic hearts showed infiltration with CD11b+ cells, fibrosis, fetal reprogramming, and atrophy of myocytes with strong constitutively active IKK2 expression. Upon transgene inactivation, the disease was reversible even at an advanced stage. IKK-induced cardiomyopathy was dependent on NF-κB activation, as in vivo expression of IκBα superrepressor, an inhibitor of NF-κB, prevented the development of disease. Gene expression and proteomic analyses revealed enhanced expression of inflammatory cytokines, and an IFN type I signature with activation of the IFN-stimulated gene 15 (ISG15) pathway. In that respect, IKK-induced cardiomyopathy resembled Coxsackievirus-induced myocarditis, during which the NF-κB and ISG15 pathways were also activated. Vice versa, in cardiomyocytes lacking the regulatory subunit of IKK (IKKγ/NEMO), the induction of ISG15 was attenuated. We conclude that IKK/NF-κB activation in cardiomyocytes is sufficient to cause cardiomyopathy and heart failure by inducing an excessive inflammatory response and myocyte atrophy.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 3
    Publication Date: 2014-10-24
    Description: ACS Sustainable Chemistry & Engineering DOI: 10.1021/sc500456p
    Electronic ISSN: 2168-0485
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
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  • 4
    Publication Date: 2011-08-25
    Description: Author(s): Jian-Qiao Meng, M. Brunner, K.-H. Kim, H.-G. Lee, S.-I. Lee, J. S. Wen, Z. J. Xu, G. D. Gu, and G.-H. Gweon We study the electronic structure of Ca 2− x Na x CuO 2 Cl 2 and Bi 2 Sr 2 CaCu 2 O 8+ δ samples in a wide range of doping, using angle-resolved photoemission spectroscopy, with emphasis on the Fermi surface (FS) in the near antinodal region. The “nesting wave vector,” i.e., the wave vector that connects two nearly... [Phys. Rev. B 84, 060513] Published Wed Aug 24, 2011
    Keywords: Superfluidity and superconductivity
    Print ISSN: 1098-0121
    Electronic ISSN: 1095-3795
    Topics: Physics
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  • 5
    Publication Date: 2014-02-20
    Description: In this paper, we explore the applicability of the unsupervised machine learning technique of self-organizing maps (SOM) to estimate galaxy photometric redshift probability density functions (PDFs). This technique takes a spectroscopic training set, and maps the photometric attributes, but not the redshifts, to a two-dimensional surface by using a process of competitive learning where neurons compete to more closely resemble the training data multidimensional space. The key feature of a SOM is that it retains the topology of the input set, revealing correlations between the attributes that are not easily identified. We test three different 2D topological mapping: rectangular, hexagonal and spherical, by using data from the Deep Extragalactic Evolutionary Probe 2 survey. We also explore different implementations and boundary conditions on the map and also introduce the idea of a random atlas , where a large number of different maps are created and their individual predictions are aggregated to produce a more robust photometric redshift PDF. We also introduced a new metric, the I -score, which efficiently incorporates different metrics, making it easier to compare different results (from different parameters or different photometric redshift codes). We find that by using a spherical topology mapping we obtain a better representation of the underlying multidimensional topology, which provides more accurate results that are comparable to other, state-of-the-art machine learning algorithms. Our results illustrate that unsupervised approaches have great potential for many astronomical problems, and in particular for the computation of photometric redshifts.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 6
    Publication Date: 2014-07-02
    Description: The estimation and utilization of photometric redshift probability density functions (photo- z PDFs) have become increasingly important over the last few years and currently there exist a wide variety of algorithms to compute photo- z 's, each with their own strengths and weaknesses. In this paper, we present a novel and efficient Bayesian framework that combines the results from different photo- z techniques into a more powerful and robust estimate by maximizing the information from the photometric data. To demonstrate this, we use a supervised machine learning technique based on random forest, an unsupervised method based on self-organizing maps, and a standard template-fitting method but can be easily extended to other existing techniques. We use data from the DEEP2 survey and the Sloan Digital Sky Survey to explore different methods for combining the predictions from these techniques. By using different performance metrics, we demonstrate that we can improve the accuracy of our final photo- z estimate over the best input technique, that the fraction of outliers is reduced, and that the identification of outliers is significantly improved when we apply a naïve Bayes classifier to this combined information. Our more robust and accurate photo- z PDFs will allow even more precise cosmological constraints to be made by using current and future photometric surveys. These improvements are crucial as we move to analyse photometric data that push to or even past the limits of the available training data, which will be the case with the Large Synoptic Survey Telescope.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 7
    Publication Date: 2005-10-08
    Description: Most people hold beliefs about personality characteristics typical of members of their own and others' cultures. These perceptions of national character may be generalizations from personal experience, stereotypes with a "kernel of truth," or inaccurate stereotypes. We obtained national character ratings of 3989 people from 49 cultures and compared them with the average personality scores of culture members assessed by observer ratings and self-reports. National character ratings were reliable but did not converge with assessed traits. Perceptions of national character thus appear to be unfounded stereotypes that may serve the function of maintaining a national identity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775052/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775052/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Terracciano, A -- Abdel-Khalek, A M -- Adam, N -- Adamovova, L -- Ahn, C-k -- Ahn, H-n -- Alansari, B M -- Alcalay, L -- Allik, J -- Angleitner, A -- Avia, M D -- Ayearst, L E -- Barbaranelli, C -- Beer, A -- Borg-Cunen, M A -- Bratko, D -- Brunner-Sciarra, M -- Budzinski, L -- Camart, N -- Dahourou, D -- De Fruyt, F -- de Lima, M P -- del Pilar, G E H -- Diener, E -- Falzon, R -- Fernando, K -- Fickova, E -- Fischer, R -- Flores-Mendoza, C -- Ghayur, M A -- Gulgoz, S -- Hagberg, B -- Halberstadt, J -- Halim, M S -- Hrebickova, M -- Humrichouse, J -- Jensen, H H -- Jocic, D D -- Jonsson, F H -- Khoury, B -- Klinkosz, W -- Knezevic, G -- Lauri, M A -- Leibovich, N -- Martin, T A -- Marusic, I -- Mastor, K A -- Matsumoto, D -- McRorie, M -- Meshcheriakov, B -- Mortensen, E L -- Munyae, M -- Nagy, J -- Nakazato, K -- Nansubuga, F -- Oishi, S -- Ojedokun, A O -- Ostendorf, F -- Paulhus, D L -- Pelevin, S -- Petot, J-M -- Podobnik, N -- Porrata, J L -- Pramila, V S -- Prentice, G -- Realo, A -- Reategui, N -- Rolland, J-P -- Rossier, J -- Ruch, W -- Rus, V S -- Sanchez-Bernardos, M L -- Schmidt, V -- Sciculna-Calleja, S -- Sekowski, A -- Shakespeare-Finch, J -- Shimonaka, Y -- Simonetti, F -- Sineshaw, T -- Siuta, J -- Smith, P B -- Trapnell, P D -- Trobst, K K -- Wang, L -- Yik, M -- Zupancic, A -- McCrae, R R -- Z99 AG999999/Intramural NIH HHS/ -- ZIA AG000180-25/Intramural NIH HHS/ -- ZIA AG000180-26/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2005 Oct 7;310(5745):96-100.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Institute on Aging, NIH, DHHS, Gerontology Research Center, 5600 Nathan Shock Drive, Baltimore, MD 21224, USA. terraccianoa@grc.nia.nih.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16210536" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Adult ; *Character ; Cross-Cultural Comparison ; *Culture ; *Ethnic Groups ; Female ; Humans ; Male ; *Personality ; Personality Assessment ; Reproducibility of Results ; Social Perception ; Stereotyping ; Surveys and Questionnaires
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2006-05-06
    Description: Forest trees display a perennial growth behavior characterized by a multiple-year delay in flowering and, in temperate regions, an annual cycling between growth and dormancy. We show here that the CO/FT regulatory module, which controls flowering time in response to variations in daylength in annual plants, controls flowering in aspen trees. Unexpectedly, however, it also controls the short-day-induced growth cessation and bud set occurring in the fall. This regulatory mechanism can explain the ecogenetic variation in a highly adaptive trait: the critical daylength for growth cessation displayed by aspen trees sampled across a latitudinal gradient spanning northern Europe.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bohlenius, Henrik -- Huang, Tao -- Charbonnel-Campaa, Laurence -- Brunner, Amy M -- Jansson, Stefan -- Strauss, Steven H -- Nilsson, Ove -- New York, N.Y. -- Science. 2006 May 19;312(5776):1040-3. Epub 2006 May 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Umea Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, S-90183 Umea, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16675663" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/genetics ; Arabidopsis/genetics/growth & development ; Arabidopsis Proteins/genetics/physiology ; DNA-Binding Proteins/genetics/physiology ; Flowers/*genetics/growth & development ; Gene Expression Regulation, Plant ; Genes, Plant ; Germany ; *Photoperiod ; Phytochrome A/genetics/physiology ; Plant Proteins/*genetics/physiology ; Plants, Genetically Modified ; Populus/*genetics/growth & development ; *Seasons ; Sweden ; Transcription Factors/genetics/physiology ; Trees/*genetics/growth & development
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 1996-06-14
    Description: Drosophila limb development is organized by interactions between anterior and posterior compartment cells. Posterior cells continuously express and require engrailed (en) and secrete Hedgehog (Hh) protein. Anterior cells express the zinc-finger protein Cubitus interruptus (Ci). It is now shown that anterior cells lacking ci express hh and adopt posterior properties without expressing en. Increased levels of Ci can induce the expression of the Hh target gene decapentaplegic (dpp) in a Hh-independent manner. Thus, expression of Ci in anterior cells controls limb development (i) by restricting hh secretion to posterior cells and (ii) by conferring competence to respond to Hh by mediating the transduction of this signal.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dominguez, M -- Brunner, M -- Hafen, E -- Basler, K -- New York, N.Y. -- Science. 1996 Jun 14;272(5268):1621-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Zoologisches Institut, Universitat Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8658135" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; DNA-Binding Proteins/genetics/*physiology ; Drosophila/embryology/genetics ; *Drosophila Proteins ; *Embryonic Induction ; Female ; Gene Expression Regulation, Developmental ; Hedgehog Proteins ; Insect Hormones/genetics/physiology ; Male ; Membrane Proteins/genetics/physiology ; Models, Biological ; Mutagenesis ; Proteins/*physiology ; Receptors, Cell Surface ; *Signal Transduction ; Transcription Factors ; Zinc Fingers/genetics/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2013-05-26
    Description: With the growth of large photometric surveys, accurately estimating photometric redshifts, preferably as a probability density function (PDF), and fully understanding the implicit systematic uncertainties in this process, has become increasingly important. In this paper, we present a new, publicly available, parallel, machine learning algorithm that generates photometric redshift PDFs by using prediction trees and random forest techniques, which we have named TPZ. 1 This new algorithm incorporates measurement errors into the calculation while also dealing efficiently with missing values in the data. In addition, our implementation of this algorithm provides supplementary information regarding the data being analysed, including unbiased estimates of the accuracy of the technique without resorting to a validation data set, identification of poor photometric redshift areas within the parameter space occupied by the spectroscopic training data, a quantification of the relative importance of the variables used to construct the PDF, and a robust identification of outliers. This extra information can be used to optimally target new spectroscopic observations and to improve the overall efficacy of the redshift estimation. We have tested TPZ on galaxy samples drawn from the Sloan Digital Sky Survey (SDSS) main galaxy sample and from the Deep Extragalactic Evolutionary Probe-2 (DEEP2) survey, obtaining excellent results in each case. We also have tested our implementation by participating in the PHAT1 project, which is a blind photometric redshift contest, finding that TPZ performs comparable to if not better than other empirical photometric redshift algorithms. Finally, we discuss the various parameters that control the operation of TPZ, the specific limitations of this approach and an application of photometric redshift PDFs.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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