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Diagnostic Validity of Multivariate Combinations of Biochemical Analytes as Markers for Rejection and Infection in the Follow-Up of Patients with Heart Transplants

W. G. E. Hölzel, M. Havel, A. Laczkovics, M. M. Müller
1988 Clinical Chemistry and Laboratory Medicine  
The diagnostic validity of multivariate combinations of oci-antitrypsin, a 2 -macroglobulin, C-reactive protein, complement C3, complement C4, neopterin in serum, and neopterin in urine as markers for  ...  However, a multivariate combination of -anti trypsin, a 2^m acroglobulin, C-reactive protein, C3, C4 in serum, and neopterin in urine can be used as a screening procedure to reduce the number of endomyocardial  ...  The predictive value of a test classification B for a rejection state higher than 0.5 was 0.88.  ... 
doi:10.1515/cclm.1988.26.11.667 fatcat:nwpsu2p3qvd4lekgb5hffthdru

The Critical Incident Technique in Service Research

Dwayne D. Gremler
2004 Journal of Service Research  
The study provides an overview of the CIT method, reports the results of a research synthesis conducted of 141 CIT studies appearing in service marketing and management publications, discusses implications  ...  The Critical Incident Technique (CIT) has been used in a variety of service contexts in recent years to explore service research issues and has been instrumental in advancing our understanding of these  ...  Reporting methods and results of content analytic CIT studies. The success of a research project is judged by its products.  ... 
doi:10.1177/1094670504266138 fatcat:hjdfqjr72bf6tl4huvrtwacgvu

Can mental imagery predicts reading comprehension?

Adnan Yousef Atoum, Abdullah M. Reziq
2018 Current Research Journal of Social Sciences and Humanities  
The results of the study indicated that visual, auditory, olfactory and feelings Imagery predicted significantly reading comprehension.  ...  The current study aimed at investigating the predictive ability of mental Imagery patterns on reading comprehension among students of the basic stage in Jordan.  ...  Acknowledgement This research received no specific grant from any funding agency in the public, commercial, or notfor-profit sectors.  ... 
doi:10.12944/crjssh.1.1.02 fatcat:x4eifcojpndmpbjpp3ftzxo3nm

Mental imagery and the reading comprehension of deaf children

Barbara R. Schirmer
1995 Reading Research and Instruction  
The results of the study indicated that visual, auditory, olfactory and feelings Imagery predicted significantly reading comprehension.  ...  The current study aimed at investigating the predictive ability of mental Imagery patterns on reading comprehension among students of the basic stage in Jordan.  ...  Acknowledgement This research received no specific grant from any funding agency in the public, commercial, or notfor-profit sectors.  ... 
doi:10.1080/19388079509558180 fatcat:nma6cstcxvhvtdgb2smfanbk2q

Inferences of ability and effort: Evidence for two different processes

Colleen F. Surber
1984 Journal of Personality and Social Psychology  
For the negative group, an increase in the reliability of one type of information actually increased the effect of the other type of information, a result that is inconsistent with the averaging model.  ...  Both an expectancy-contrast model and a correlational model can account for the results of the negative group.  ...  A subject's overall slope was determined by the majority of classifications of the nine Study Time Reliability X Performance Reliability matrices.  ... 
doi:10.1037/0022-3514.46.2.249 fatcat:vmv22fislbckzdo5nyszb5dkvu

Identification of effective predictive variables for document qualities

Kwong Bor Ng, Rong Tang, Sharon Small, Tomek Strzalkowski, Paul Kantor, Robert Rittman, Peng Song, Ying Sun, Nina Wacholder
2005 Proceedings of the American Society for Information Science and Technology  
We have created a collection of 1000 documents, each document has been judged in terms of nine document qualities (accuracy, reliability, objectivity, depth, author/producer credibility, readability, verbosity  ...  We present several promising results, indicating that with a few number of textual features, we can predict various document qualities much better than chance. ASIST 2003  ...  The views expressed in this article are those of the authors, and do not necessarily represent the views of the sponsoring agency.  ... 
doi:10.1002/meet.1450400128 fatcat:jnbcirak3namzfv3t6d7bysz3e

Development and characterisation of error functions in design

Y. M. Goh, C. A. McMahon, J. D. Booker
2007 Research in Engineering Design  
A classification is devised in the framework to identify the most appropriate method for the representation of error, including probability theory, interval analysis and Fuzzy set theory.  ...  This paper discusses a framework for uncertainty characterisation based on the management of design knowledge leading to the development and characterisation of error functions.  ...  Devlukia and Mr A. D'Cruz of Land Rover with one of the case studies reported here.  ... 
doi:10.1007/s00163-007-0034-x fatcat:u33xlmx5gndshmweypk3b2r5mu

Truth table task: Working memory load, latencies, and perceived relevance

Aline Sevenants, Kristien Dieussaert, Walter Schaeken
2013 Journal of Cognitive Psychology  
With an inspection of the classification times we shed light on the processes underlying truth table judgments.  ...  We conclude that the Revised Mental Models Theory provides the best account for our results. .  ...  resources for a deep processing of the conditional.  ... 
doi:10.1080/20445911.2013.775131 fatcat:x5mipeye2bel3lnv7cwkaxuaya

Customer behavior and decision making in the refurbishment industry‐a data mining approach

Chung‐Fah Huang, Sung‐Lin Hsueh
2010 Journal of Civil Engineering and Management  
These research findings may provide a useful reference for innovative refurbishment firms in their decision-making.  ...  The study of consumer behavior in the refurbishment industry is crucial to the business operation of firms, but there is a lack of research in this regard.  ...  We also thank the anonymous reviewers for their valuable comments on a previous version of this manuscript.  ... 
doi:10.3846/jcem.2010.07 fatcat:cm2l7fbtbfd7boifzhl6krwhzy

Challenges in automated deception detection in computer-mediated communication

Victoria L. Rubin, Niall J. Conroy
2011 Proceedings of the American Society for Information Science and Technology  
Comparable to previous research results, human judges achieve 50-63% success rates.  ...  We address the associated challenges with error analysis of the respondents' stories, and prose a faceted deception classification (theme, centrality, realism, essence, distancing) as well as a typology  ...  This error analysis resulted in an empirically-derived classification of potential deceptive messages along five facets (Figure 1 ).  ... 
doi:10.1002/meet.2011.14504801098 fatcat:zw4p6akbrbf57aibxhrlfxkuwy

Robust Feature Selection by Mutual Information Distributions [article]

Marco Zaffalon, Marcus Hutter
2002 arXiv   pre-print
The results are applied to the problem of selecting features for incremental learning and classification of the naive Bayes classifier.  ...  The exact analytical expression for the mean and an analytical approximation of the variance are reported. Asymptotic approximations of the distribution are proposed.  ...  The results are derived in [Hut01] . The result for the mean was also reported in [WW95] , Theorem 10. We are not aware of similar analytical approximations for the variance.  ... 
arXiv:cs/0206006v1 fatcat:eknae6cn4zffvaltee5zc6lowu

Generating a Reliable Reference Standard Set for Syndromic Case Classification

Wendy W. Chapman, John N. Dowling, Michael M. Wagner
2005 JAMIA Journal of the American Medical Informatics Association  
Results: Positive predictive value for ICD-9 classification ranged from 0.33 for botulinic to 0.86 for gastrointestinal.  ...  for bias and prevalence, and Finn's r; and (4) reliability of the reference standard classifications demonstrated by generalizability coefficients.  ...  We describe the methodology below and compare a number of measures of interrater agreement and reliability for the resulting reference standard.  ... 
doi:10.1197/jamia.m1841 pmid:16049227 pmcid:PMC1294033 fatcat:g6eoklofhvdpvb2fuonwabn32m

On getting inside the judge's mind

Mandeep K. Dhami, Ian K. Belton
2017 Translational Issues in Psychological Science  
Abstract According to the scales of justice, the judge, in an unbiased way and directed by law, attends to all of the available information in a case, weighs it according to its significance, and integrates  ...  Another potential argument is that researchers have not pinpointed the psychological processes of any specific judge because they analyzed data over judges and/or used statistical models lacking in psychological  ...  Thus, in a study on judicial decision-making, the reference class is determined following an examination of how a judge perceives and interprets the information relating to a specific decision task, for  ... 
doi:10.1037/tps0000115 fatcat:kgp7tlyvhbce5nkj2jbnmrtdsu

The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy

Daniel Cozzolino
2020 Molecules  
In these applications, the analytical method is integrated with a wide range of multivariate data analysis (MVA) techniques (e.g., pattern recognition, modelling techniques, calibration, etc.) to develop  ...  The last two decades have witnessed an increasing interest in the use of the so-called rapid analytical methods or high throughput techniques.  ...  Therefore, knowledge of the extent to which results are repeatable using wet chemistry or biochemical procedures is of paramount importance in judging the reliability calibration.  ... 
doi:10.3390/molecules25163674 pmid:32806655 fatcat:qfe5ehdtizdrzhukvybjwcfj6m

A novel prediction model for the degree of rescue safety in mine thermal dynamic disasters based on fuzzy analytical hierarchy process and extreme learning machine

Jun Guo, Yin Liu, Xiaojiao Cheng, Hao Yan, Yaqi Xu
2018 International Journal of Heat and Technology  
The prediction results are accurate, stable, and highly reliable, revealing that our model is a desirable tool for the real-time prediction of safety in mine rescue operations.  ...  learning machine (ELM) into a prediction model to quantify the degree of MTDD rescue safety in a fast and accurate manner.  ...  Since the sample data reflect the actual rescue situation in each case, the evaluation results were sufficiently reliable to serve as the ELM sample data for dynamic prediction.  ... 
doi:10.18280/ijht.360424 fatcat:xbes3zg4rbbtrpdiz32voyg6z4
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