10,774 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

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    The 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

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    We 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 k11/5k^{-11/5}. 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 (k11/5k^{-11/5} and k5/3k^{-5/3}) for a limited range of parameters in stably stratified flow

    Author Index

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    Author Inde

    Story of the Story-Teller: A Conversation with Ramendra Kumar

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    Ramendra 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. &nbsp

    An Uncomfortable Fit?: Intellectual Property Policy and the Administrative State

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    The Southeastern Association of Law Schools (SEALS) panel responds to the considerable scholarship on the increasing integration of administrative law into intellectual property policy. The discussion was conducted August 4, 2009, as part of SEALS\u27 day-long Intellectual Property Workshop in West Palm Beach, Florida. Kali Murray moderated the panel, which included Sapna Kumar, Jason Mazzone, Hannibal Travis, and Jasmine Abdel-khalik

    Generative models for predictive UI design tools

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    User interface (UI) design is a central part of the mobile app creation process, which involves specifying the elements that should be placed on a screen, and how they should be arranged and styled. This paper introduces a generative model approach to predictive design for mobile UI layouts. Given a partial UI design, the model predicts the next UI element that should be added to the layout. Moreover, the model can be used queried multiple times in succession to autocomplete an entire UI screen. To power this design interaction, we present two types of models: generative adversarial networks (GANs) [7] and variational auto-encoders (VAEs) [15]. We train the GAN and VAE models over 1949 mobile UIs that represent a variety of screen types (e.g. Login, Onboarding), and compare both models along standard and design-based metrics, identifying key tradeoffs. Finally, we present a mobile UI mockup tool that leverages the GAN-based model to support a predictive design workflow.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Jason Situ, accepted the attached license on 2019-04-25 at 21:57.The student, Jason Situ, submitted this Thesis for approval on 2019-04-25 at 22:10.This Thesis was approved for publication on 2019-04-26 at 11:13.DSpace SAF Submission Ingestion Package generated from Vireo submission #13938 on 2019-08-22 at 15:08:48Made available in DSpace on 2019-08-23T20:36:13Z (GMT). No. of bitstreams: 2 SITU-THESIS-2019.pdf: 2953945 bytes, checksum: 3d17819257a18203fc430721072ede49 (MD5) LICENSE.txt: 4207 bytes, checksum: 192b15e610c8807c1dc9eff3eff5b94b (MD5) Previous issue date: 2019-04-26Embargo set by: Seth Robbins for item 112226 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112226 on 2021-08-24T09:15:24Z

    NOTICE!!! This person (known as Ashwin Kumar) plagiarized the text titled: "Using phenomenological research methods in qualitative health research"

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    EDITORIAL 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.     _________________________________________  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  ________________________________________

    Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks

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    Cite 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 (CC)(CC) (CFLAGS) *.o -lm -o network_representativeness .o: (CC)(CC) (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

    Non-Preemptive Flow-Time Minimization via Rejections

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    We consider the online problem of minimizing weighted flow-time on unrelated machines. Although much is known about this problem in the resource-augmentation setting, these results assume that jobs can be preempted. We give the first constant-competitive algorithm for the non-preemptive setting in the rejection model. In this rejection model, we are allowed to reject an epsilon-fraction of the total weight of jobs, and compare the resulting flow-time to that of the offline optimum which is required to schedule all jobs. This is arguably the weakest assumption in which such a result is known for weighted flow-time on unrelated machines. While our algorithms are simple, we need a delicate argument to bound the flow-time. Indeed, we use the dual-fitting framework, with considerable more machinery to certify that the cost of our algorithm is within a constant of the optimum while only a small fraction of the jobs are rejected
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