159 research outputs found
When matches are ideal: Fitting measurement models to adult attachment data
No full textMany self-report inventories in social/personality psychology are developed and scored using dominance-based assumptions. Specifically, it is assumed that the relationship between item endorsement and the latent trait is monotonically increasing. It is possible, however, that the item response process for these inventories actually follows an ideal-point process in which respondents seek to endorse items that best describe them, leading to non-monotonic relations between item responses and latent traits. This study examined whether the item response process underlying the Experiences in Close Relationships-Revised (ECR-R; Fraley, Waller, & Brennan, 2000)--a commonly used self-report measure of adult attachment styles--is best understood as a dominance or ideal-point process. The authors compared the fits of alternative models in a sample of 1,293 adults. Results showed that the ideal point model provided a good account of the response process, and provided better interpretability for the full trait continuum. Importantly, people who were the most insecure were the most likely to be scored differently under these two item response models. I confirmed this finding in a simulation study: When data were generated from an ideal-point process, scores computed using dominance model assumptions led to striking mismeasurements of attachment insecurity.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Tianjun Sun, accepted the attached license on 2017-12-12 at 16:17.The student, Tianjun Sun, submitted this Thesis for approval on 2017-12-12 at 16:23.This Thesis was approved for publication on 2017-12-13 at 09:20.DSpace SAF Submission Ingestion Package generated from Vireo submission #11959 on 2018-03-13 at 09:57:48Made available in DSpace on 2018-03-13T15:28:43Z (GMT). No. of bitstreams: 2
SUN-THESIS-2017.pdf: 892127 bytes, checksum: a1008d44c6d10badd5f872ba67c25c9f (MD5)
LICENSE.txt: 4208 bytes, checksum: 72d45de117296e50f87a221cf16401f0 (MD5)
Previous issue date: 2017-12-13Embargo set by: Seth Robbins for item 105222
Lift date: 2020-03-13T15:28:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105222 on 2020-03-14T09:15:16Z
Probing the CP-even Higgs sector via H(3) -> H(2)H(1) in the natural next-to-minimal supersymmetric standard model
No full textZhaofeng Kang, Jinmian Li, Tianjun Li, Da Liu, and Jing Sh
Artificial intelligence powered personality assessment: A multidimensional psychometric natural language processing perspective
No full textRecent technological advances have allowed researchers to apply automated, language-based machine learning models as alternatives to self-reports for assessing personality. However, previous work has largely overlooked the multidimensional nature of personality and lacked in-depth exploration of validity issues. In this dissertation, I examined novel methods for leveraging artificial intelligence (AI), natural language processing (NLP), machine learning, and automation to systematically glean personality-related information from textual data which offers rich information and reflects various aspects of personality but has been severely underutilized. In two studies, I connected the five-factor (or Big Five) model (comprised of openness to new experiences, conscientiousness, extraversion, agreeableness, and neuroticism) with NLP from two angles: 1) a construct validity perspective (i.e., the degree to which information extracted from textual data reflects personality constructs), and 2) an applicability perspective (i.e., the ability to elicit personality-relevant information from text in line with psychological and organizational principles). In Study 1, I meta-analytically reviewed the multidimensional psychometric evidence of AI-supported language-based personality assessment. Results showed that measurement reliability is often not addressed in past AI personality assessment research, and that construct validity evidence is lacking. In Study 2, I built an interactive tool to automatically and adaptively prompt for, collect, and analyze personality-relevant topic-based (i.e., honoring the Big Five factorial structure) narrative data through conversations conducted by an AI chatbot. Results showed some improvements in various validities of the new personality assessment tool. Potential reasons for the improvement magnitudes, limitations of the current methods, and future directions are discussed.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Tianjun Sun, accepted the attached license on 2021-07-01 at 14:23.The student, Tianjun Sun, submitted this Dissertation for approval on 2021-07-01 at 14:27.This Dissertation was approved for publication on 2021-07-06 at 07:52.DSpace SAF Submission Ingestion Package generated from Vireo submission #16744 on 2022-01-12 at 12:52:49Made available in DSpace on 2022-01-12T22:34:50Z (GMT). No. of bitstreams: 3
SUN-DISSERTATION-2021.pdf: 1104673 bytes, checksum: 92caa871a47a6c9e702ee7b237ee089a (MD5)
LICENSE.txt: 4208 bytes, checksum: 74bd7cbefe6cbc954b810e93ca2c0054 (MD5)
PROQUEST_LICENSE.txt: 4554 bytes, checksum: e49ba3adf27bb379ef1b64f38dee48a5 (MD5)
Previous issue date: 2021-07-06Embargo set by: Seth Robbins for item 121062
Lift date: 2024-01-12T22:35:30Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Gaia Astrometry and MIKE+PFS Doppler Data Joint Analysis Reveals that HD 175167b is a Massive Cold Jupiter
No full textHD 175167b is a cold ( days) Jupiter with a minimum mass of
orbiting a Sun-like star, first discovered by the
Magellan Planet Search Program based on MIKE observations. Through a joint
analysis of the MIKE data and the Gaia two-body orbital solution, Winn (2022)
found a companion mass of and suggested that it might
be better designated as a brown dwarf. Additional publicly available radial
velocity data from Magellan/PFS better constrains the model, and reveals that
the companion is a massive cold Jupiter with a mass of
and a period of days. The planet orbit is inclined by
with an eccentricity of .Comment: 4 pages, 1 figure, submitted to RNAA
Study on the energy efficiency classification method of highway passenger stations based on climatic divisions
No full textA nonperturbative approach to the Newns-Anderson model of chemisorption, 1990
No full textRecent work in condensed matter theory has shown that the functional derivative technique proposed by Kadanoff and Baym may be successfully applied to a variety of many particle systems, from quantum spin to electron phonon. We present a procedure for obtaining nonperturbative solutions for the temperature Greeen's fuunctions of strongly correlated systems. An application to the Newns Anderson model of chemisorption is presented. We have been able to generate solutions that are exact in certain regions of the parameter space for this model. An important feature is that these solutions do not depend on simplifying assumptions regarding the model parameters. Detail comparisons are made with the exact numerical results
Design and Performance Enhancement of a Gasoline Engine Turbocharger Compressor by Adopting RCT and Hybrid RCT
No full textThe diesel engine used the turbocharger technology for a long period. To solve the compressor associated with surge unstable phenomena, the medium and large size turbocharger compressor used the RCT(recirculation casing treatment) also called ported shroud technology in a diesel engine. The RCT can decrease the vortex at the impeller part when the compressor is operated in the low mass flow rate working fluid. Due to the casting limitation, the small size compressor which the pressure ratio range from 1.2 to 2.5 is not easy to adopt the RCT technology. The 3D printer technology has been developing very quickly nowadays. It can also be used for the future compressor production. Recently, the turbocharger has been installed to the gasoline engine to increase the engine power and decrease the emission pollution. Most gasoline engine displacement is from 1.3L to 2.0L. Hence, it is essential to investigate the flow and performance of the small-sized gasoline engine turbocharger RCT compressor by using the CFD technology. Comparing the CFD results between the Non-RCT and RCT compressor model, the RCT compressor can increase the efficiency at the low mass flow rate, which improves the unstable flow performance. However, at the medium mass flow rate range, especially the mass flow rate of the gasoline engine at the highest power output point, the RCT compressor has the lower efficiency than the non-RCT compressor. A new Hybrid RCT has been designing by the author which has a small channel connecting the compressor volute downstream part and RCT inlet duct to improve the flow movement by overcoming the adverse pressure gradient. The CFD results showed that the Hybrid RCT compressor had a similar performance with the RCT compressor, but it could increase the efficiency than the RCT compressor at the medium mass flow range and showed higher efficiency in a certain region of compressor than the non-RCT compressor.Docto
Online review analysis : How to get useful information for innovating and improving products?
No full textAvec le développement du commerceélectronique, les clients ont publié de nombreuxcommentaires de produit sur Internet. Ces donnéessont précieuses pour les concepteurs de produit, carles informations concernant les besoins de client sontidentifiables. L'objectif de cette étude est dedévelopper une approche d'analyse automatique descommentaires utilisateurs permettant d'obtenir desinformations utiles au concepteur pour guiderl'amélioration et l'innovation des produits.L’approche proposée contient deux étapes :structuration des données et analyse des données.Dans la structuration des données, l’auteur proposed’abord une ontologie pour organiser les mots et lesexpressions concernant les besoins de client décrientdans les commentaires. Ensuite, une méthode detraitement du langage naturelle basée des règleslinguistiques est proposé pour structurerautomatiquement les textes de commentaires dansl’ontologie proposée.Dans l’analyse des données, deux méthodes sontproposées pour obtenir des idées d’innovation et desvisions sur le changement de préférence d’utilisateuravec le temps. Dans ces deux méthodes, les modèleset les méthodes traditionnelles comme affordancebasedesign, l’analyse conjointe, et le Kano modelsont étudié et appliqué d’une façon innovante.Pour évaluer la praticabilité de l’approche proposéedans la réalité, les commentaires de client de liseusenumérique Kindle sont analysés. Des pistesd’innovation et des stratégies pour améliorer leproduit sont identifiés et construites.With the development of e-commerce,consumers have posted large number of onlinereviews on the internet. These user-generated dataare valuable for product designers, as informationconcerning user requirements and preference can beidentified.The objective of this study is to develop an approachto guide product design by analyzing automaticallyonline reviews. The proposed approach consists oftwo steps: data structuration and data analytics.In data structuration, the author firstly proposes anontological model to organize the words andexpressions concerning user requirements in reviewtext. Then, a rule-based natural language processingmethod is proposed to automatically structure reviewtext into the propose ontology.In data analytics, two methods are proposed based onthe structured review data to provide designers ideason innovation and to draw insights on the changes ofuser preference over time. In these two methods,traditional affordance-based design, conjointanalysis, the Kano model are studied andinnovatively applied in the context of big data.To evaluate the practicability of the proposedapproach, the online reviews of Kindle e-readers aredownloaded and analyzed, based on which theinnovation path and the strategies for productimprovement are identified and constructed
L’analyse des commentaires de client : Comment obtenir les informations utiles pour l’innovation et l’amélioration de produit
No full textWith the development of e-commerce,consumers have posted large number of onlinereviews on the internet. These user-generated dataare valuable for product designers, as informationconcerning user requirements and preference can beidentified.The objective of this study is to develop an approachto guide product design by analyzing automaticallyonline reviews. The proposed approach consists oftwo steps: data structuration and data analytics.In data structuration, the author firstly proposes anontological model to organize the words andexpressions concerning user requirements in reviewtext. Then, a rule-based natural language processingmethod is proposed to automatically structure reviewtext into the propose ontology.In data analytics, two methods are proposed based onthe structured review data to provide designers ideason innovation and to draw insights on the changes ofuser preference over time. In these two methods,traditional affordance-based design, conjointanalysis, the Kano model are studied andinnovatively applied in the context of big data.To evaluate the practicability of the proposedapproach, the online reviews of Kindle e-readers aredownloaded and analyzed, based on which theinnovation path and the strategies for productimprovement are identified and constructed.Avec le développement du commerceélectronique, les clients ont publié de nombreuxcommentaires de produit sur Internet. Ces donnéessont précieuses pour les concepteurs de produit, carles informations concernant les besoins de client sontidentifiables. L'objectif de cette étude est dedévelopper une approche d'analyse automatique descommentaires utilisateurs permettant d'obtenir desinformations utiles au concepteur pour guiderl'amélioration et l'innovation des produits.L’approche proposée contient deux étapes :structuration des données et analyse des données.Dans la structuration des données, l’auteur proposed’abord une ontologie pour organiser les mots et lesexpressions concernant les besoins de client décrientdans les commentaires. Ensuite, une méthode detraitement du langage naturelle basée des règleslinguistiques est proposé pour structurerautomatiquement les textes de commentaires dansl’ontologie proposée.Dans l’analyse des données, deux méthodes sontproposées pour obtenir des idées d’innovation et desvisions sur le changement de préférence d’utilisateuravec le temps. Dans ces deux méthodes, les modèleset les méthodes traditionnelles comme affordancebasedesign, l’analyse conjointe, et le Kano modelsont étudié et appliqué d’une façon innovante.Pour évaluer la praticabilité de l’approche proposéedans la réalité, les commentaires de client de liseusenumérique Kindle sont analysés. Des pistesd’innovation et des stratégies pour améliorer leproduit sont identifiés et construites
MOESM3 of Quality control of imbalanced mass spectra from isotopic labeling experiments
No full textAdditional file 3 This is a pdf file (69KB) containing an example for controlling the quality of the spectrum with high peptide ratio
- …
