6,241 research outputs found
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
A Unified Shell model for Buoyancy-Driven Turbulence
No full textWe construct a unified shell model for stably stratified and convective turbulence. Shell model simulation of stably stratified flow in turbulent regime exhibit Bolgiano-Obukhbov (BO) scaling in which the kinetic energy spectrum varies as . However, simulation of convective turbulence shows Kolmogorov's spectrum. These results are consistent with the direct numerical simulations of Kumar {\em et al.} [Phys. Rev. E {\bf 90}, 023016 (2014)]. We also observe a dual scaling ( and ) for a limited range of parameters in stably stratified flow
Story of the Story-Teller: A Conversation with Ramendra Kumar
No full textRamendra Kumar (Ramen) is an award-winning writer, storyteller and inspirational speaker with 42 books to his name. Ramen’s writings have been published by many of the leading publishers in the county and translated into 30 languages. They have found a place in several textbooks and anthologies. He has written across all genres ranging from picture books to adult fiction, satire, poetry, travelogues, biographies and on issues related to parenting and relationships. He has been invited to literary festivals held in Denmark, Greece, Sharjah, Sri Lanka as well Indian events including the prestigious Jaipur Litfest to conduct storytelling sessions and creative writing workshops. He has also been empanelled by Pearson India Education Services as well as several schools to conduct workshops. He was nominated as a Jury Member for the Best Children’s Author Category of The Times of India’s ‘Women AutHer’ Awards 2020. Many of his stories have been showcased by popular audio streaming, apps both within and outside the country, such as Spotify, Gaatha, Talking Stories Radio – London et al.
An Engineer & an MBA, Ramen was serving as the General Manager (Corporate Communications), SAIL, Rourkela Steel Plant, when he took Voluntary Retirement to pursue his passion, in August 2020. To know more about the writer, you can visit his website www.ramendra.in & his page on Wikipedia. Dr. Sagar Kumar Sharma interviews the author and unfolds the pages of his life.
 
Discounting, ethics and options for maintaining biodiversity and ecosystem integrity
No full textFor most resource allocation problems economists use a capital investment approach. Resources should be allocated to those investments yielding the highest rate of return, accounting for uncertainty, risk and the attitude of the investor toward risk. As illustrated in Figure 6.1, suppose an investor has a choice between letting a valuable tree grow at a rate of 5 per cent per year, or cutting the tree down, selling it and putting the money in the bank. Which decision is best depends on the rate of interest the bank pays. If the bank pays 6 per cent and the price of timber is constant the investor will earn more money by cutting the tree down and selling it, that is, by converting natural capital into financial capital. This simple example is a metaphor for the conversion of biodiversity and ecosystem services into other forms of capital. The shortcomings of this simple approach to valuing biodiversity and ecosystems include: (1) the irreversibility of biodiversity loss; (2) pure uncertainty as to the effects of such losses; (3) the difference between private investment decisions and the responsibilities of citizens of particular societies; (4) the implicit assumption
Inclusive Wealth Report 2018
No full textThe Inclusive Wealth Index provides important insights into long-term economic growth and human well-being. The Index measures the wealth of nations through a comprehensive analysis of a country's productive base and the country’s wealth in terms of progress, well-being and long-term sustainability. It measures all assets which human well-being is based upon, in particular, produced, human and natural capital to create and maintain human well-being over time. The Open Access version of this book, available at http://www.taylorfrancis.com/books/9781351002080, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license
NOTICE!!! This person (known as Ashwin Kumar) plagiarized the text titled: "Using phenomenological research methods in qualitative health research"
No full textEDITORIAL NOTICE:
1. This publication has been removed due to detected plagiarism by the editorial.
2. If you have cited, you MUST UPDATE your reference with the following original article:
Wojnar, Danuta, and Kristen Swanson. “Phenomenology An Exploration”. Journal of holistic nursing : official journal of the American Holistic Nurses’ Association 25 (01 October 2007): 172-80; discussion 181. https://doi.org/10.1177/0898010106295172.
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3. Submitter's Profile Record (the thief, the plagiariser):
Name: Ashwin KumarURL: http://www.freewebs.com/ak2146Affiliation: University of Western Sydney, Australia.Country: AustraliaBio Statement:Dr. Ashwin Kumar,PO Box 571,Toongabbie,Sydney,Australia, NSW, 2146.Homepage: http://www.freewebs.com/ak2146Email: [email protected]
[email protected]: 0432-622-147Skype Internet Phone ID: ak2146
Dr. Ashwin Kumar (BA, MA (Distinction), PhD) is an academic researcher whose research interests and areas of expertise include: Complementary and alternative medicine (CAM), ageing and social gerontology, sociology, social anthropology, sociology of care, public health, health promotion, Indigenous health, migrant and refugee health, disability and chronic illness. Ashwin is the author of 8 books and numerous academic journal articles in the field of public health, health sociology and anthropology of health and illness. His books: The Lived Experience of Caring; The Lived Experience of Ageing; The Lived Experience of Using Complementary and Alternative Medicine; Doing Sociology; The Basics of Sociology; Plain English Writing; Research and Writing Skills and Writing Effective Essays are available at:
http://www.amazon.com/s/ref=ntt_athr_dp_sr_1?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=PhD.%20Ashwin%20Kumar
My homepage: http://www.freewebs.com/ak2146
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Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks
No full textCite this code as: Kumar, J. (2023). Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.8048530
Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks
Author: Jitendra (Jitu) Kumar ([email protected]), Oak Ridge National Laboratory
Regional and global ecological research networks, representing coordinated and standardized as well as adhoc networks of observation sites, provide valuable observations necessary for ecological modeling and synthesis studies. Studies conducted across observational networks strive to scale up their results to larger areas, trying to reach conclusions that are valid throughout regional, continental, and even global scales. Network representativeness and constituency can show how well conditions at those locations represent conditions elsewhere within a larger area containing the network and can be used to help scale-up results over larger regions.
Representativeness: Euclidean distance between two sites plotted in multivariate environmental space can be used as an inverse measure of multivariate similarity to quantify representativeness. Close sites in environmental space have a similar combination of environmental factors, and therefore are highly representative of each other.
Constituency: For any site in the network, its Constituency represent all locations that are best represented by the multivariate environmental drivers at that site.
Code Compilation:
make
Edit the ```makefile``` as needed for your platform.
CC=gcc
CFLAGS= -O3
hpea: network_representativeness.o\
utility.o
(CFLAGS) *.o -lm -o network_representativeness
.o:
(CFLAGS) -c $<
clean:
\rm *.o network_representativeness
Running the representativeness analysis:
Usage: network_representativeness -infile input data file [ASCII]
-coordsfile coordinate file name
-clustfile coordinate file name [OPTIONAL -- must be used with -siteclustfile]
-sitefile site data file name
-siteclustfile site data file name [OPTIONAL -- must be used with -clustfile]
-nsites No. of sites
-minmaxfile minmax file name
-outfile output file name
-nrows No. of rows in input data
-ncols No. of variables
-details [OPTIONAL -- turn on output representativeness for each site, default is to write network representativeness and constituency only.]
-help program usage help.
Publications using ```network_reprentativeness``` code:
Kumar, J., Coffin, A. W., Baffaut, C., Ponce-Campos, G., Witthaus, L., and Hargrove, W. W. (2023) "Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network, and Analysis of Complementarity with Other Existing Ecological Networks", Environmental Management (in press)
M. M. T. A. Pallandt, J. Kumar, M. Mauritz, E. A. G. Schuur, A.-M. Virkkala, G. Celis, F. M. Hoffman, and M. Göckede. Representativeness assessment of the pan-arctic eddy covariance site network and optimized future enhancements. Biogeosciences, 19(3):559--583, 2022. https://doi.org/10.5194/bg-19-559-2022
J. Kumar, F. M. Hoffman, W. W. Hargrove, and N. Collier. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. Earth System Science Data Discussion, 2016:1--25, August 2016. https://doi.org/10.5194/essd-2016-36.If you use this software, please cite it as below.
Kumar, J. (2023). Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.804853
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