5,046 research outputs found
Tanarctus arborspinosus Lindgren 1971
No full text129. <i>Tanarctus arborspinosus</i> Lindgren, 1971 <p> <i>Tanarctus arborspinosus</i> nov. spec. (Lindgren 1971)</p> <p> <b> <i>Terra typica</i>: Atlantic Ocean (USA, North America)</b> </p> <p> <b>Atlantic Ocean:</b></p> <p> • <b>34°41′30′′N, 76°50′00′′W;</b> <i>0 m bsl:</i> <b>[FAO31] Type Locality:</b> USA, North Carolina State, Carteret County, Bogue Bank, near Morehead City, ocean side, 30 and 60 cm deep in sand, salinity (34–36‰), sand (0.2–0.5 mm). <b>Lindgren (1971), Renaud-Mornant (1975a)</b></p> <p> <b>Record numbers (Sea/Ocean classification):</b> Atlantic Ocean: 1; <b>total: 1.</b></p> <p> <b>Record numbers (FAO classification):</b> FAO31: 1; <b>total: 1.</b></p> <p> <b>Remarks:</b> This species is known only from the type locality.</p>Published as part of <i>Kaczmarek, Łukasz, Bartels, Paul J., Roszkowska, Milena & Nelson, Diane R., 2015, The Zoogeography of Marine Tardigrada, pp. 1-189 in Zootaxa 4037 (1)</i> on page 121, DOI: 10.11646/zootaxa.4037.1.1, <a href="http://zenodo.org/record/233519">http://zenodo.org/record/233519</a>
Dravidian dataset for the Lindgren (2023) study
No full textDataset on Dravidian languages, focusing on Tulu, accompanying the master's thesis of Lindgren (2023). Includes data from the author's fieldwork, contributions from other authors, and data adapted from the Kolipakam et al. (2018) study.
The author collected a set of lexical items for comparative analysis to address the classification of Tulu, Koraga, and Bellari within the Dravidian language family. This dataset included 114 comparative concepts previously collected for the study of Bellari (Bhat, 1971), the Leipzig-Jakarta list of lexical items, a subset of the 100-word Swadesh list not present in the Leipzig-Jakarta list, and counting words from 1 to 10, and a more extensive list of pronouns, totalling 231 comparative concepts. Word lists were gathered from various sources, including grammars and dictionaries, for Bellari (Bhat, 1971), four Koraga varieties (Onti, Tappu, and Mudu from Bhat, 1971; Ande from Shetty, 2008), Kannada (Kittel, 1894; Učida, Rajapurohit & Takashima, 2018; Spencer, 1950; Zydenbos, 2011; Sridhar, 1990), Malayalam (Moag & Moag, 1967; Asher & Kumari, 1967; Sudha, 1984; Jiang, 2010), Tamil (Borin et al., 2013), Byari (Upadhyaya, 2011), and Pattapu (IRA, 2013), and three Tulu varieties. The Tulu word lists included those from M. M. Bhat (1967), a dictionary of Tulu including words from multiple dialects, a Madhwa Brahmin wordlist collected from Bhatt (1971), and a wordlist from data collected through the author's fieldwork. Data for several other languages, namely Telugu, Koya, Kolami, Gondi, Parji, Ollari Gadba, Kuwi, Kurukh, Malto, Brahui, Yeruva, Kodava, Badga, Toda, Kota, and Betta Kurumba, were included from Kolipakam et al. (2018), as well as additional data for Kannada, Malayalam, Tamil, and Tulu from the same source. The latter’s Kannada, Malayalam, Tamil, and Tulu wordlists were added as separate doculects.
Concepts not given in Concepticon are marked by an initial asterisk (e.g., "*BETEL LEAF"). Most of these are concepts distinguishing pronouns in the languages, such as marking distinctions between remote and proximate (e.g., "*3SG.I.R" and "*3SG.I.P"), which the author considered essential for comparing the languages also due to the conservativeness of some forms and phonemes (e.g., the presence of /a/ for remote and /i/ for proximate in most languages). The labels for pronoun concepts not given in Concepticon are built with the following constituents:
"2SG" : second singular
"3PL" : third plural
"3SG" : third singular
"A" : animate
"F" : female
"H" : honorific
"I" : inanimate
"M" : male
"P" : proximate
"R" : remote
References
Asher, R. E. & Kumari, T. C. (1997). Malayalam. Descriptive Grammars Series, Descriptive Grammars. London & New York: Routledge.
Bhat, D. N. S. (1971). The Koraga language. Poona: Deccan College.
Bhat, M. M. (1967). Tulu-English dictionary. Madras: University of Madras.
Bhatt, S. L. (1971). A Grammar of Tulu (A Dravidian Language). Ann Arbor: UMI. (Doctoral dissertation, Madison: University of Wisconsin.)
Borin, L.; Comrie, B. & Saxena, A. (2013). The Intercontinental Dictionary Series – a rich and principled database for language comparison. In Borin, L. & Saxena, A. (eds) Approaches to Measuring Linguistic Differences, 285–302. Berlin: De Gruyter Mouton.
IRA [ISO 639-3 Registration Authority] (2013). Change Request Number 2013-020: adopted create [ptq] (2014-03-05). Dallas: SIL International.
Jiang, H. (2010). Malayalam: a Grammatical Sketch and a Text. Houston: Department of Linguistics, Rice University.
Kittel, F. (1894). A Kannaḍa-English dictionary. Mangalore: Basel Mission Book and Tract Depository.
Kolipakam, V.; Jordan, F. M.; Dunn, M.; Greenhill, S. J.; Bouckaert, R.; Gray, R. D. & Verkerk, A. (2018). A Bayesian phylogenetic study of the Dravidian language family. Royal Society open science, 5(3), 171504. http://doi.org/10.1098/rsos.171504
Moag, R. & Moag, R. (1967). A course in Colloquial Malayalam. Milwaukee, Wisconsin: Peace Corps.
Shetty, R. (2008). Koraga Grammar. Kuppam: Department of Dravidian Computational Linguistics, Dravidian University.
Spencer, H. (1950). A Kanarese Grammar. Mysore City: Wesley Press.
Sridhar, S. N. 1990. Kannada. (Descriptive Grammars Series, Descriptive Grammars.) London & New York: Routledge.
Sudha, B. B. (1984). Case grammar of standard Malayalam. (Doctoral dissertation, Trivandrum: University of Kerala.)
Učida, N.; Rajapurohit, B. B. & Takashima, J. (2018). Kannada-English Etymological Dictionary. Tokyo: ILCAA.
Upadhyaya, S. P. (2011). Beary language: descriptive grammar and comparative study. Mangalore: Karnataka Beary Sahithya Academy.
Zydenbos, R. (2011). A grammar of Kannada. Ms.Author contributions
FL organized the collection, chose the concepts, and was involved in the data release. FL and EMM collected data during fieldwork and published sources. SK organized the collection of Tulu wordlists and reviewed the data. TT was involved in the data release and Concepticon mapping
Wilson, J. R., Panetta, F. D. & Lindgren, C.— Detecting and responding to alien plant incursions. Ecology, Biodiversity and Conservation, Cambridge University Press, Cambridge & New York, 2016
No full textÉrard Chr. Wilson, J. R., Panetta, F. D. & Lindgren, C.— Detecting and responding to alien plant incursions. Ecology, Biodiversity and Conservation, Cambridge University Press, Cambridge & New York, 2016. In: Revue d'Écologie (La Terre et La Vie), tome 72, n°4, 2017. p. 444
The Australian Asbestos Network – how journalism can address a public health disaster
No full textAsbestos presents an ongoing health disaster worldwide. First through mining and manufacturing, and now through workplaces and the home, exposure to asbestos is presenting a public health hazard that will continue well into the 21st century. Yet it is a hidden epidemic with litigation often silencing the voices that could attest to the destructive impact of what was once called the ‘magic mineral’. This paper describes a unique collaboration between journalists, doctors and public health researchers where journalistic techniques are used to bring the peoples’ stories of suffering and caring to public attention. The project illustrates the value of interdisciplinary collaboration as well as demonstrating how journalistic activity can be the subject of legitimate academic research. The outcome is a website, with three functions: first, as an historical archive of asbestos stories through audio and video interviews with asbestos diseases sufferers, their families and carers; second, as a one-stop-shop for public health information about asbestos risk where journalism skills are employed to translate often complex information into accessible language and formats; and third, as the nucleus for a future online community where patients and doctors can interact and experiment with more collaborative models of medical and public health interventions
Asymmetric Information and the Demand for Voluntary Health Insurance in Europe
No full textSeveral past studies have found health risk to be negatively correlated with the probability of voluntary health insurance. This is contrary to what one would expect from standard textbook models of adverse selection and moral hazard. The two most common explanations to the counter-intuitive result are either (1) that risk-aversion is correlated with health — i.e. that healthier individuals are also more risk-averse — or (2) that insurers are able to discriminate among customers based on observable health-risk characteristics. We revisited these arguments, using data from the Survey of Health, Ageing and Retirement in Europe (SHARE). Self-assessed health served as an indicator of risk: better health, lower risk. We did, indeed, observe a negative correlation between risk and insurance but found no evidence of heterogeneous risk-preferences as an explanation to our finding.
Seed orchards
No full textPresentations published in proceedings: DNA and seed orchards - Darius Danusevicius, Yousry El-Kassaby, Maria Gaspar, Øystein Johnsen and Xiao-Ru Wang Seed Orchard Planning and Management in Turkey - Murat Alan, Hikmet Ozturk and Sadi Siklar Synchronization and Fertility Variation Among Pinus nigra Arn. Clones in a Clonal Seed Orchard - P.G. Alizoti, K. Kilimis and P. Gallios Practical use of GA4/7 to stimulate flower production in Picea abies seed orchards in Sweden - Curt Almqvist Seed orchards and seed collection stands of Scots pine in Turkey - Nebi Bilir and M. Denizhan Ulusan Do we need flower stimulation in seed orchards? - Władysław Chałupka Using SYNCHRO.SAS, a program to facilitate phenological data processing, in a radiata pine seed orchard in northern Spain. - Veronica Codesido and Josefina Fernández-López. A New Generation of Clonal Seed orchards of wild cherry - Bart de Cyuper PROSAD a tool for projecting and managing data about seed orchards - Vladimír Foff and Elena Foffová The Swedish Scots Pine Seed Orchard Västerhus - Anders Fries, Dag Lindgren and Bengt Andersson Coancestry among wind pollinated progenies from a Pinus pinaster seed orchard in a progeny trial. - Maria João Gaspar; Ana de-Luca; Santiago C González-Martínez; Jorge Paiva; Elena Hidalgo José Lousada and Helena Almeida Contribution of seed orchards to timber harvest in the short-run and in the long-run - Peichen Gong, and Ola Rosvall Planter's guide - a decision support system for the choice of reforestation material - Mats Hannerz and Tore Ericsson Pomotechnical treatments in the broadleave clonal seed orchards - Davorin Kajba, Nikola Pavičić, Saša Bogdan and Ida Katičić Mixing of seed crops from different years is an effective management strategy for enhancing effective population size in Eucalyptus seedling seed orchard crops - R. Kamalakannan and M. Varghese Management of Seed Orchards considering Gain and Diversity and how it is Applied in Korea - Kyu-Suk Kang and Chang-Soo Kim Gene conservation through seed orchards - a case study of Prunus spinosa L. - Jörg R.G. Kleinschmit, Ludger Leinemann and Bernhard Hosius Combining production of improved seeds with genetic testing in seedling seed orchards - Jan Kowalczyk Deployment of clones to seed orchards when candidates are related - Dag Lindgren and Darius Danusevičius The Swedish seed orchard program for Scots pine and Norway spruce - Dag Lindgren, Bo Karlsson, Bengt Andersson and Finnvid Prescher Advanced-Generation Seed Orchard Designs - Milan Lstibůrek and Yousry A.El-Kassaby Problems with seed production of European larch in seed orchards in Poland - Piotr Markiewicz A review of the seed orchard programme in Poland - Jan Matras Seed Orchard Management Strategies for Deployment of Intensively Selected Loblolly Pine Families in the Southern US - Steven E. McKeand, Davis M. Gerwig, W. Patrick Cumbie, and J.B. Jett Paternal gene flow in Cryptomeria japonica seed orchards as revealed by analysis of microsatellite markers - Yoshinari Moriguchi, Hideaki Taira and Yoshihiko Tsumura Fertility Variation across Years in Two Clonal Seed Orchards of Teak and its Impact on Seed Crop. - Abel Nicodemus, Mohan.Varghese, B. Nagarajan and Dag Lindgren A review of Scots pine and Norway spruce seed orchards in Finland - Teijo Nikkanen Finnish Birch Seed Production 1970-2007 - Sirkku Pöykkö British Columbia’s Seed Orchard Program: Multi Species Management With Integration To The End User - David J.S. Reid Pest insects and pest management in Swedish spruce seed orchards - Olle Rosenberg and Jan Weslien New Swedish Seed Orchard Program - Ola Rosvall and Per Ståhl Comparison of seed orchard and stand seed of Scots pine in direct seeding - Seppo Ruotsalainen Temporal and Spatial Change of the Mating System Parameters in a Seed Orchard of Pinus tabulaeformis Carr. - Xihuan Shen, Dongmei Zhang, Yue Li and H. X. Zhang Challenges and Prospects for Seed Orchard Development in South China - Run-Peng Wei Factors affecting effective population size estimation in a seed orchard: a case study of Pinus sylvestris - Dušan Gömöry, Roman Longauer, Ladislav Paule and Rudolf Bruchánik Pollen contamination and after-effects in Scots pine - Jan-Erik Nilsso
Mitigation techniques of power-frequency magnetic fields originated from Electric Power Systems
No full textCIGRE guidelines for mitigation techniques of power-frequency magnetic fields originated from Electric Power Systems
No full textMitigation techniques of power-frequency magnetic fields originated from Electric Power Systems
No full textAttraction of Pissodes affinis and P. fasciatus (Coleoptera: Curculionidae) to pityol and a-pinene in a coastal stand of western white pine and Douglas-fir
No full textLindgren multiple-funnel traps, baited with (-)-a-pinene and (±)-pityol, captured significant numbers of the weevils, Pissodes affinis Randall and P. fasciatus LeConte, in a coastal stand of Douglas-fir and western white pine.Key words: Pissodes; Coleoptera; Curculionidae; pityol; Lindgren funnel tra
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