939 research outputs found
A study of the species of Mycosphaerella on eucalypts in Australia and the impact of Mycosphaerella leaf diseases on Eucalyptus globulus Labill
No full text© Dr. Angus J. CarnegieIn this study, the taxonomy of the species of Mycosphaerella that cause leaf diseases of eucalypts was reviewed, the effect of these diseases on E. globulus in plantations was quantified, and the use of silvicultural methods, tree selection and resistance breeding to reduce the impact of Mycosphaerella leaf diseases in commercial plantations was investigated.
Over 30 species of Mycosphaerella cause leaf spots and defoliation on a wide range of eucalypt species (Eucalyptus and Corymbia), but the taxonomy of some of these is incomplete, and there is confusion in species identity between morphologically similar species. Therefore, herbarium specimens, fresh collections and previous records of Mycosphaerella species from eucalypts in Australia and elsewhere were examined. Widespread surveys of Mycosphaerella species of eucalypts in plantations and native forests were conducted in Western Australia, South Australia, Victoria, Tasmania and New South Wales. A new species of Mycosphaerella (M. vespa) was described from plantations, a previously described species (M. gregaria) was revised following further observations and investigations, further host and location records were reported, and the first record of M. suberosa outside Brazil (its place of description) was made. A detailed list of the species of Mycosphaerella in Australia was compiled, with descriptions, photographs, and illustrations of each species. A table of important taxonomic characteristics of Mycosphaerella species on eucalypts was compiled, and a taxonomic key developed to aid in identification of the species in Australia. (Part of the summary only
Mycosphaerella and Teratosphaeria diseases of Eucalyptus; easily confused and with serious consequences
No full textThe Mycosphaerella complex accommodates thousands of taxa. Many of these species are economically important plant pathogens, notably on native and commercially propagated Eucalyptus species where they cause a wide range of disease symptoms including leaf spot, leaf blotch, shoot blight and stem cankers. Some of these diseases represent major impediments to sustainable Eucalyptus forestry in several countries where infection by Mycosphaerella and Teratosphaeria species can result in reduction of wood volume and in severe cases tree death. Extensive research has been conducted on these disease complexes over the past 40 years. The incorporation of DNA-based molecular techniques has made it possible to define and to better understand the differences between the Mycosphaerella and Teratosphaeria species occurring on Eucalyptus. These studies have also enabled refinement of anamorph and teleomorph generic concepts for the genera and thus facilitated the more accurate identification of species. They have also promoted a more lucid understanding of the biology, life cycles, population biology and epidemiology of the most important pathogens in the group
Understanding the mechanisms of economic development
No full textI argue that progress in understanding economic development (as in other branches of economics) must come from the investigation of mechanisms; the associated empirical analysis can usefully employ a wide range of experimental and non-experimental methods. I discuss three different areas of research: the life-cycle saving hypothesis and its implication that economic growth drives higher rates of national saving, the theory of speculative commodity storage and its implications for the time-series behavior of commodity prices, and the relationship between economic growth and nutritional improvement. None of these projects has yet been entirely successful in offering a coherent account of the evidence, but all illustrate a process of trial and error, in which although mechanisms are often rejected, unlikely theoretical propositions are sometimes surprisingly verified, while in all cases there is a process of learning about and subsequently modifying our understanding of the underlying mechanisms
Michael Rodriguez interviews Jim Daniels, Professor of English and Creative Writing at Carnegie Mellon University
No full textDetroit native Jim Daniels, Professor of English and Creative Writing at Carnegie Mellon University, talks about being identified as a Detroit writer and poet, reading in Detroit with author Philip Levine, script and short story writing, challenging himself to try new things and developing a character over time. Daniels also explains how our ideas of movies have influenced expectations in writing and changed the way many writers approach their craft and suggests that contemporary writers have dropped the idea of writing the great American novel for writing the great American screenplay. Daniels is interviewed by Michael Rodriguez for the Michigan State University Libraries' Michigan Writers Series
Supplementary material 1 from: Nahrung HF, Carnegie AJ (2021) Border interceptions of forest insects established in Australia: intercepted invaders travel early and often. NeoBiota 64: 69-86. https://doi.org/10.3897/neobiota.64.60424
No full textNon-native insect species established in Australia, traits and interception
THE CARNEGIE-IRVINE GALAXY SURVEY. II. ISOPHOTAL ANALYSIS
No full textThe Carnegie-Irvine Galaxy Survey (CGS) is a comprehensive investigation of the physical properties of a complete, representative sample of 605 bright (B-T <= 12.9 mag) galaxies in the southern hemisphere. This contribution describes the isophotal analysis of the broadband (BVRI) optical imaging component of the project. We pay close attention to sky subtraction, which is particularly challenging for some of the large galaxies in our sample. Extensive crosschecks with internal and external data confirm that our calibration and sky subtraction techniques are robust with respect to the quoted measurement uncertainties. We present a uniform catalog of one-dimensional radial profiles of surface brightness and geometric parameters, as well as integrated colors and color gradients. Composite profiles highlight the tremendous diversity of brightness distributions found in disk galaxies and their dependence on Hubble type. A significant fraction of S0 and spiral galaxies exhibit non-exponential profiles in their outer regions. We perform Fourier decomposition of the isophotes to quantify non-axisymmetric deviations in the light distribution. We use the geometric parameters, in conjunction with the amplitude and phase of the m = 2 Fourier mode, to identify bars and quantify their size and strength. Spiral arm strengths are characterized using the m = 2 Fourier profiles and structure maps. Finally, we utilize the information encoded in the m = 1 Fourier profiles to measure disk lopsidedness. The databases assembled here and in Paper I lay the foundation for forthcoming scientific applications of CGS.Astronomy & AstrophysicsSCI(E)0ARTICLE2null19
Author Profiling Tracks at FIRE
No full text[EN] Benchmarking activities are vital for fostering research and addressing new challenging problems. During the last 10 years of the FIRE initiative we have been involved in the organization of more than ten tracks, with the aim of the creation of new resources in several languages that were made available to the research community. This allowed to compare the new several approaches on the same datasets. In this chapter we will focus on the description of three author profiling tracks, on their data creation as well as the results analysis.The work on the author profiling data in Arabic was made possible by NPRP Grant #9-175-1-033 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authorsRosso, P.; Rangel Pardo, FM. (2020). Author Profiling Tracks at FIRE. SN Computer Science. 1:1-11. https://doi.org/10.1007/s42979-020-0073-1S1111Al Sukhni E, Alequr Q. Investigating the use of machine learning algorithms in detecting gender of the Arabic tweet author. Int J Adv Comput Sci Appl. 2016;1(7):319–28.Alsmearat K, Al-Ayyoub M, Al-Shalabi R. An extensive study of the bag-of-words approach for gender identification of Arabic articles. In: 2014 IEEE/ACS 11th international conference on computer systems and applications (AICCSA). 2014. pp 601–608. IEEE.Alsmearat K, Shehab M, Al-Ayyoub M, Al-Shalabi R, Kanaan G. Emotion analysis of Arabic articles and its impact on identifying the authors gender. In: 12th international conference on computer systems and applications (AICCSA), 2015 IEEE/ACS; 2015.Álvarez-Carmona MA, López-Monroy AP, Montes-Y-Gómez M, Villaseñor-Pineda L, Jair-Escalante H. Inaoe’s participation at pan’15: author profiling task—notebook for pan at clef 2015; 2015.Argamon S, Koppel M, Fine J, Shimoni AR. Gender, genre, and writing style in formal written texts. TEXT. 2003;23:321–46.Argamon S, Dhawle S, Koppel M, Pennebaker JW. Lexical predictors of personality type. In: Proceedings of the joint annual meeting of the interface and the classification society of North America; 2005.Asghari H, Mohtaj S, Fatemi O, Faili H, Rosso P, Potthast M. Algorithms and corpora for Persian plagiarism detection: overview of pan at fire 2016. In: Notebook Papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR Workshop Proceedings. CEUR-WS.org, vol 1737; 2016. pp 135–144.Bachrach Y, Kosinski M, Graepel T, Kohli P, Stillwell D. Personality and patterns of Facebook usage. In: Proceedings of the ACM web science conference. ACM New York, NY, USA; 2012. pp 36–44.Banerjee S, Chakma K, Naskar DA Sudip, Rosso P, Bandyopadhyay S, Choudhury M. Overview of the mixed script information retrieval (MSIR) at fire-2016. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 94–99.Barrón-Cedeño A, Rosso P, Lalitha-Devi S, Clough P, Stevenson M. Pan@fire: Overview of the cross-language !ndian text re-use detection competition. In: 2nd and 3th international workshops FIRE 2010 and 2011, multilingual information access in south Asian Languages, Springer, LNCS(7536); 2013. pp 59–70.Bensalem I, Boukhalfa I, Rosso P, Abouenour L, Darwish K, Chikhi S. Overview of the araplagdet pan@ fire2015 shared task on Arabic plagiarism detection. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR Workshop Proceedings. CEUR-WS.org, vol 1587; 2015. pp 111–122.Bishop-Clark C. Cognitive style, personality, and computer programming. Computers in human behavior, vol. 11–2. New York: Elsevier; 1995. p. 241–60.Castro D, Souza E, de Oliveira AL. Discriminating between brazilian and european portuguese national varieties on twitter texts. In: 5th Brazilian conference on intelligent systems (BRACIS); 2016. pp 265–270.Celli F, Polonio L. Relationships between personality and interactions in Facebook. Social networking: recent trends, emerging issues and future outlook. New York: Nova Science Publishers Inc; 2013. p. 41–54.Celli F, Lepri B, Biel JI, Gatica-Perez D, Riccardi G, Pianesi F. The workshop on computational personality recognition 2014. In: Proceedings of the ACM international conference on multimedia, ACM; 2014. pp 1245–1246.Costa PT, McCrae RR. The revised neo personality inventory (neo-pi-r). The SAGE handbook of personality theory and assessment, vol. 2. Thousand Oaks: Sage Publications Inc.; 2008. p. 179–98.Elfardy H, Diab MT. Sentence level dialect identification in Arabic. In: Association for computational linguistics (ACL); 2013. pp 456–461.Estival D, Gaustad T, Hutchinson B, Bao-Pham S, Radford W. Author profiling for English and Arabic emails; 2008.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@fire: Overview of SOCO track on the detection of source code re-use. In: Notebook papers of FIRE, FIRE-2014. India: Bangalore; 2014.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@ fire 2015: Overview of cl-soco track on the detection of cross-language source code re-use. In: Proceedings of the seventh forum for information retrieval evaluation (FIRE 2015), Gandhinagar, India; 2015. pp 4–6.Franco-Salvador M, Rangel F, Rosso P, Taule M, Marti M. Language variety identification using distributed representations of words and documents. Experimental IR meets multilinguality, multimodality, and interaction. Berlin: Springer; 2015. p. 28–40.Golbeck J, Robles C, Turner K. Predicting personality with social media. In: CHI’11 extended abstracts on human factors in computing systems, ACM; 2011. pp 253–262.Gupta P, Clough P, Rosso P, Stevenson M. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook papers of FIRE 2012, FIRE-2012, Kolkata, India, December 17–19; 2012.Gupta P, Clough P, Rosso P, Stevenson M, Banchs R. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook Papers of FIRE 2013, FIRE-2013, Delhi, India, December 4–6; 2013.Holmes J, Meyerhoff M. The handbook of language and gender. Blackwell handbooks in linguistics. New York: Wiley; 2003.Huang C, Lee L. Contrastive approach towards text source classification based on top-bag-of-word similarity. In: In PACLIC; 2008. pp 404–410.Karimi Z, Baraani-Dastjerdi A, Ghasem-Aghaee N, Wagner S. Links between the personalities, styles and performance in computer programming. J Syst Softw. 2016;111:228–41.Koppel M, Argamon S, Shimoni AR. Automatically categorizing written texts by author gender. Lit Linguist Comput. 2002;17:4.Kosinski M, Bachrach Y, Kohli P, Stillwell D, Graepel T. Manifestations of user personality in website choice and behaviour on online social networks. New York: Springer; 2013. p. 1–24.Litvinova T, Litvinlova O, Zagorovskaya O, Seredin P, Sboev A, Romanchenko O. “ruspersonality”: a Russian corpus for authorship profiling and deception detection. In: Intelligence, social media and web (ISMW FRUCT), 2016 international FRUCT conference on, IEEE; 2016. pp 1–7.Litvinova T, Seredin P, Litvinova O, Zagorovskaya O, Sboev A, Gudovskih D, Moloshnikov I, Rybka R. Gender prediction for authors of Russian texts using regression and classification techniques. In: CDUD@ CLA; 2016. pp 44–53.Litvinova T, Gudovskikh D, Sboev A, Seredin P, Litvinova O, Pisarevskaya D, Rosso P. Author gender prediction in Russian social media texts. In: Conference on analysis of images, social networks, and texts, AIST-2017, IEEE; 2017. pp 1101–1106.Litvinova T, Rangel F, Rosso P, Seredin P, Litvinova O. Overview of the rusprofiling pan at fire track on cross-genre gender identification in Russian. In: Notebook papers of FIRE 2017, FIRE-2017, Bangalore, India, December 8–11, CEUR Workshop Proceedings. CEUR-WS.org, vol 2036; 2017. pp 1–7.Lui M, Cook P. Classifying English documents by national dialect. In: Proceedings of the Australasian Language Technology Association Workshop; 2013. pp 5–15.Maharjan S, Shrestha P, Solorio T, Hasan R. A straightforward author profiling approach in mapreduce. In: Advances in artificial intelligence. Iberamia; 2014. pp 95–107.Maier W, Gomez-Rodriguez C. Language variety identification in Spanish tweets. In: LT4CloseLang 2014; 2014.Mairesse F, Walker MA, Mehl MR, Moore RK. Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res. 2007;30–1:457–500.Malmasi S, Zampieri M, Ljubešić N, Nakov P, Ali A, Tiedemann J. Discriminating between similar languages and Arabic dialect identification: a report on the third DSL shared task. In: Proceedings of the third workshop on NLP for similar languages, varieties and dialects (VarDial3); 2016. pp 1–14.Maulana Siagian AHA, Aritsugi M. Dbms-ku approach for author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Neuman Y, Cohen Y. A vectorial semantics approach to personality assessment. Sci Rep. 2014;4:4761.Oberlander J, Nowson S. Whose thumb is it anyway?: classifying author personality from weblog text. In: Proceedings of the COLING/ACL on main conference poster sessions, Association for Computational Linguistics; 2006. pp 627–634.Paruma-Pabón OH, González FA, Aponte J, Camargo JE, Restrepo-Calle F. Finding relationships between socio-technical aspects and personality traits by mining developer e-mails. In: Proceedings of the 9th international workshop on cooperative and human aspects of software engineering, ACM; 2016. pp 8–14.Pennebaker JW, Mehl MR, Niederhoffer KG. Psychological aspects of natural language use: our words, our selves. Annu Rev Psychol. 2003;54(1):547–77.Quercia D, Lambiotte R, Stillwell D, Kosinski M, Crowcroft J. The personality of popular Facebook users. In: Proceedings of the ACM 2012 conference on computer supported cooperative Work, ACM; 2012. pp 955–964.Rangel F, Rosso P. On the multilingual and genre robustness of emographs for author profiling in social media. In: 6th international conference of CLEF on experimental IR meets multilinguality, multimodality, and interaction, Springer-Verlag, LNCS(9283); 2015. pp 274–280.Rangel F, Rosso P. On the impact of emotions on author profiling. Inf Process Manag. 2016;52(1):73–92.Rangel F, Rosso P. On the implications of the general data protection regulation on the organisation of evaluation tasks. Lang Law. 2019;5:95–117.Rangel F, Rosso P. Overview of the 7th author profiling task at pan 2019: Bots and gender profiling. In: Cappellato L, Ferro N, MÃller H, Losada D (Eds) CLEF 2019 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org; 2019.Rangel F, Rosso P, Potthast M, Stein B, Daelemans W. Overview of the 3rd author profiling task at pan 2015. In: Cappellato L, Ferro N, Jones G, San Juan E (Eds) CLEF 2015 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org, vol. 1391; 2015.Rangel F, González F, Restrepo-Calle F, Montes M, Rosso P. Pan at fire: Overview of the PR-SOCO track on personality recognition in source code. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 1–5.Rangel F, Rosso P, Franco-Salvador M. A low dimensionality representation for language variety identification. In: 17th international conference on intelligent text processing and computational linguistics, CICLing. Springer; 2016. LNCS. arXiv:1705.10754Rangel F, Rosso P, Potthast M, Stein B. Overview of the 5th author profiling task at PAN 2017: gender and language variety identification in Twitter. In: Working notes papers of the CLEF 2017 evaluation labs, CLEF and CEUR-WS.org, CEUR workshop proceedings; 2017.Rangel F, Rosso P, Charfi A, Zaghouani W, Ghanem B, Sánchez-Junquera J. Overview of the track on author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Rangel F, Paolo R, Zaghouani W, Charfi A. Fine-grained analysis of language varieties and demographics. Nat Lang Eng; 2020. (In Press).Rosso P, Rangel F, Hernández-Farías I, Cagnina L, Zaghouani W, Charfi A. A survey on author profiling, deception, and irony detection for the Arabic language. Lang Ling Compass. 2018;12:4.Sadat F, Kazemi F, Farzindar A. Automatic identification of Arabic language varieties and dialects in social media. In: Proceedings of SocialNLP; 2014. p 22.Schler J, Koppel M, Argamon S, Pennebaker JW. Effects of age and gender on blogging. In: AAAI spring symposium: computational approaches to analyzing weblogs, AAAI; 2006. pp 199–205.Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman ME, et al. Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS One. 2013;8–9:773–91.Sequiera R, Choudhury M, Gupta P, Rosso P, Kumar S, Banerjee S, Kumar-Naskar S, Bandyopadhyay S, Chittaranjan G, Das A, Chakma K. Overview of fire-2015 shared task on mixed script information retrieval. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR workshop proceedings. CEUR-WS.org, vol 1587; 2015. pp 19–25.Sun Y, Ning H, Chen K, Kong L, Yang Y, Wang J, Qi H. Author profiling in arabic tweets:an approach based on multi-classification with word and character features. In: Metha P, Rosso P, Majumder P, Mitra M (eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Weren E, Kauer A, Mizusaki L, Moreira V, de Oliveira P, Wives L. Examining multiple features for author profiling. J Inf Data Manag. 2014;20:266–79.Xu F, Wang M, Li M. Sentence-level dialects identification in the greater china region. Int J Nat Lang Comput. 2016;5:6.Zaghouani W, Charfi A. Arapâ tweet: a large multiâ dialect twitter corpus for gender, age and language variety identification. In: Proceedings of the 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaghouani W, Charfi A. Guidelines and annotation framework for Arabic author profiling. In: Proceedings of the 3rd workshop on open-source Arabic corpora and processing tools, 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaidan OF, Callison-Burch C. Arabic dialect identification. Comput Ling. 2014;40(1):171–202.Zampieri M, Gebre B. Automatic identification of language varieties: the case of Portuguese. In: The 11th conference on natural language processing (KONVENS). Osterreichischen Gesellschaft fur Artificial Intelligende (OGAI); 2012. pp 233–237.Zampieri M, Malmasi S, Ljubešić N, Nakov P, Ali A, Tiedemann J, Scherrer Y, Aepli N. Findings of the vardial evaluation campaign 2017. In: Proceedings of the fourth workshop on NLP for similar languages, varieties and dialects; 2017. pp 1–15
Sirex Woodwasp in Australia: Current Management Strategies, Research and Emerging Issues
No full textThe Carnegie-Irvine galaxy survey. 1. Overview and atlas of optical images
No full textThe Carnegie-Irvine Galaxy Survey (CGS) is a long-term program to investigate the photometric and spectroscopic properties of a statistically complete sample of 605 bright (B(T) < 12.9 mag), southern (\u3b4 < 0\uba) galaxies using the facilities at Las Campanas Observatory. This paper, the first in a series, outlines the scientific motivation of CGS, defines the sample, and describes the technical aspects of the optical broadband (BVRI) imaging component of the survey, including details of the observing program, data reduction procedures, and calibration strategy. The overall quality of the images is quite high, in terms of resolution (median seeing ~1 ''), field of view (8.'9 x 8.'9), and depth (median limiting surface brightness ~27.5, 26.9, 26.4, and 25.3 mag arcsec\u207b\ub2 in the B, V, R, and I bands, respectively). We prepare a digital image atlas showing several different renditions of the data, including three-color composites, star-cleaned images, stacked images to enhance faint features, structure maps to highlight small-scale features, and color index maps suitable for studying the spatial variation of stellar content and dust. In anticipation of upcoming science analyses, we tabulate an extensive set of global properties for the galaxy sample. These include optical isophotal and photometric parameters derived from CGS itself, as well as published information on multiwavelength (ultraviolet, U-band, near-infrared, far-infrared) photometry, internal kinematics (central stellar velocity dispersions, disk rotational velocities), environment (distance to nearest neighbor, tidal parameter, group, or cluster membership), and Hi content. The digital images and science-level data products will be made publicly accessible to the community.Peer reviewed: YesNRC publication: Ye
- …
