242 research outputs found

    Joy committee and qualitative aspects of College Librarianship

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    A study of the report of the Expert Committee on College Libraries (1993) appointed by Government of Kerala under the chairmanship of V.P. Joy, IAS. Opines that it is the first of such attempts by any State Government in India Joy Committee considers that the successful performance of the college librarian demand a clear understanding of academic objectives, a significant level of academic expertise and working partnership with heads of teaching departments. Joy recommended that librarian should be brought under the definition of teacher and that the academic qualification of the library staff should be at par with those of the teachers in colleges. The recommendations include granting academic status and service conditions on par with teachers to the college librarians, amendments to purchase rules to enable acquisition of electronic documents, staff formulae based on user strength and levels, implementing mechanisms for participatory development of the system, and methods and procedures for qualitative development of the college library collections

    Investigating The Role of Task Engagement in Mobile Interruptibility

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    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. Copyright is held by the owner/author(s)

    Sleep Deprivation Impairs Productivity in Adults With Mood Disorders: A Scoping Review

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    Abstract Date Presented 4/1/2017 Sleep deprivation (SD) is common in adults with mood disorders. Yet, little is known about how SD in adults with mood disorders may further restrict participation in occupations. This scoping review synthesized the literature on the effects of sleep deprivation on the productivity of adults with mood disorders. Primary Author and Speaker: Melissa Knott Contributing Authors: Christopher Derak, Lisa McAughey, Rashmi Mehrotra, Florence Roudbarani</jats:p

    Some Disadvantages of a Mehrotra-Type Primal-Dual Corrector Interior Point Algorithm for Linear Programming

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    The Primal-Dual Corrector (PDC) algorithm that we propose computes on each iteration a corrector direction in addition to the direction of the standard primal-dual path-following interior point method (Kojima et al., 1989) for Linear Programming (LP), in an attempt to improve performance. The new iterate is chosen by moving along the sum of these directions, from the current iterate. This technique is similar to the construction of Mehrotra's highly popular predictor-corrector algorithm (Mehrotra, 1991). We present examples, however, that show that the PDC algorithm may fail to converge to a solution of the LP problem, in both exact and finite arithmetic, regardless of the choice of stepsize that is employed. The cause of this bad behaviour is that the correctors exert too much influence on the direction in which the iterates move.\ud \ud The author was supported through grant GR/S34472 from the Engineering and Physical Sciences Research Council of the U

    Exploring experiences of postsecondary education for adult learners from communities of color in Oregon

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    prepared by: Roberta Hunte, Gita Mehrotra, Miranda Mosier, Eva Skuratowicz, Kylee Sanders, Kevin Cherry, and Anita Gooding ; developed for the Higher Education Coordinating Commission.Title from PDF cover (viewed on June 15, 2021)."This report was completed by faculty and staff at Portland State University and Southern Oregon University, with support from HECC"--Page 3.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Funding for this report was made possible by Lumina FoundationMode of access: Internet from the Oregon Government Publications Collection.Text in English

    Ask, But Don’t Interrupt: The Case for Interruptibility-Aware Mobile Experience Sampling

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    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Dynamics of Youth Population – Impact of Education Expenditure

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    Youth constitutes the largest segment of the Indian population and being the primary productive human resources, the socio-economic development of youth directly linked to the development process. This paper is an attempt to see the various demographic characteristics of the Indian youth population and determine the household expenditure pattern on education and related items using National Sample Survey data for two rounds (1993-94 and 2004-05). Results are presented for individual states separately for rural and urban and also for various socio-economic characteristics such as social groups, household size, level of education, occupation, etc.India, youth population, socio-economic development

    Dynamics of Youth Population – Impact of Education Expenditure

    No full text
    Youth constitutes the largest segment of the Indian population and being the primary productive human resources, the socio-economic development of youth directly linked to the development process. This paper is an attempt to see the various demographic characteristics of the Indian youth population and determine the household expenditure pattern on education and related items using National Sample Survey data for two rounds (1993-94 and 2004-05). Results are presented for individual states separately for rural and urban and also for various socio-economic characteristics such as social groups, household size, level of education, occupation, etc.EducationEducation expenditure
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