121 research outputs found
Joy committee and qualitative aspects of College Librarianship
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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Sleep Deprivation Impairs Productivity in Adults With Mood Disorders: A Scoping Review
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
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
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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
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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Electrochemical Evaluation of Bacillus Species for Rapid Biosynthesis of Silver Nanoparticles: Application in Domestic Wastewater Treatment
Modelling Trust in Human-AI Interaction: Doctoral Consortium
Trust is an important element of any interaction, but especially when we are interacting with a piece of technology which does not think like we do. Therefore, AI systems need to understand how humans trust them, and what to do to promote appropriate trust. The aim of this research is to study trust through both a formal and social lens. We will be working on formal models of trust, but with a focus on the social nature of trust in order to represent how humans trust AI. We will then employ methods from human computer interaction research to study if these models work in practice, and what would eventually be necessary for systems to elicit appropriate levels of trust from their users. The context of this research will be AI agents which interact with their users to offer personal support
New intercalation compounds of conjugated polymers. Encapsulation of polyaniline in MoS2.
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