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Good Quality

by Seti Keshmiripour, Emily Peebles, Improves Patron Satisfaction, Poor Quality , 2014
"... WHAT IS CUSTOMER SERVICE? Customer service is providing service to library patrons by librarians, staff, and student employees Understanding patrons ’ needs Assisting patrons Satisfying their expectations ..."
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WHAT IS CUSTOMER SERVICE? Customer service is providing service to library patrons by librarians, staff, and student employees Understanding patrons ’ needs Assisting patrons Satisfying their expectations

What good are positive emotions

by Barbara L. Fredrickson - Review of General Psychology , 1998
"... This article opens by noting that positive emotions do not fit existing models of emotions. Consequently, a new model is advanced to describe the form and function of a subset of positive emotions, including joy, interest, contentment, and love. This new model posits that these positive emotions ser ..."
Abstract - Cited by 454 (15 self) - Add to MetaCart
;quot;What good are positive emotions?" have yet to be articulated. This is unfortunate. being, and physical health. Experiences of positive emotion are central to Why Have Positive Emotions human nature and contribute richly to the quality of people's lives (Diener & Larsen, Been Marginalized

What is Good Quality of

by Magne Nylenna, Oyvind Bjertnaes, Ingrid Sperre Saunes, Anne Karin Lindahl
"... Abstract: A diversity of definitions of quality exists, that frequently contain aspects of complexity, relativity and subjectivity. This paper provides an overview of key components in the quality debate within health care, including different perspec-tives and dimensions of the quality of care. Def ..."
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Abstract: A diversity of definitions of quality exists, that frequently contain aspects of complexity, relativity and subjectivity. This paper provides an overview of key components in the quality debate within health care, including different perspec-tives and dimensions of the quality of care

Hidden Markov models in computational biology: applications to protein modeling

by Anders Krogh, Michael Brown, I. Saira Mian, Kimmen Sjölander, David Haussler - JOURNAL OF MOLECULAR BIOLOGY , 1994
"... Hidden.Markov Models (HMMs) are applied t.0 the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated the on globin family, the protein kinase catalytic domain, and the EF-hand calcium binding moti ..."
Abstract - Cited by 655 (39 self) - Add to MetaCart
protein family, or contain the given domain. The Hi " produces multiple alignments of good quality that agree closely with the alignments produced by programs that incorporate three-dimensional structural information. When employed in discrimination tests (by examining how closely the sequences in a

Doing good quality research’.

by Simon Borg - Email: asad@squ.edu.om , 2010
"... ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract not found

Improved methods for building protein models in electron density maps and the location of errors in these models. Acta Crystallogr. sect

by T. A. Jones, J. -y. Zou, S. W. Cowan, M. Kjeldgaard - A , 1991
"... Map interpretation remains a critical step in solving the structure of a macromolecule. Errors introduced at this early stage may persist throughout crystallo-graphic refinement and result in an incorrect struc-ture. The normally quoted crystallographic residual is often a poor description for the q ..."
Abstract - Cited by 1051 (9 self) - Add to MetaCart
for the quality of the model. Strategies and tools are described that help to alleviate this problem. These simplify the model-building process, quantify the goodness of fit of the model on a per-residue basis and locate possible errors in pep-tide and side-chain conformations.

Histograms of Oriented Gradients for Human Detection

by Navneet Dalal, Bill Triggs - In CVPR , 2005
"... We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly out ..."
Abstract - Cited by 3735 (9 self) - Add to MetaCart
outperform existing feature sets for human detection. We study the influence of each stage of the computation on performance, concluding that fine-scale gradients, fine orientation binning, relatively coarse spatial binning, and high-quality local contrast normalization in overlapping descriptor blocks

A survey of trust and reputation systems for online service provision

by Audun Jøsang, Roslan Ismail, Colin Boyd , 2005
"... Trust and reputation systems represent a significant trend in decision support for Internet mediated service provision. The basic idea is to collect information about potential service providers in order to select the most reliable and trustworthy provider of services and information and to avoid th ..."
Abstract - Cited by 632 (15 self) - Add to MetaCart
the less trustworthy. A natural side effect is that it also provides an incentive for good behaviour and therefore tends to have a positive effect on market quality. Reputation systems can be called collaborative sanctioning systems to reflect their collaborative nature, and are related to collaborative

Optimizing Search Engines using Clickthrough Data

by Thorsten Joachims , 2002
"... This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system should present relevant documents high in the ranking, with less relevant documents following below. While previous approaches ..."
Abstract - Cited by 1314 (23 self) - Add to MetaCart
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system should present relevant documents high in the ranking, with less relevant documents following below. While previous

Clustering by passing messages between data points

by Brendan J. Frey, Delbert Dueck - Science , 2007
"... Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars ” can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initi ..."
Abstract - Cited by 696 (8 self) - Add to MetaCart
if that initial choice is close to a good solution. We devised a method called “affinity propagation,” which takes as input measures of similarity between pairs of data points. Real-valued messages are exchanged between data points until a high-quality set of exemplars and corresponding clusters gradually emerges
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