Grading scale model for knowledge based repositories

In multiscale modeling of highly complex biomolecular systems, it is desirable to switch the system model either to coarser, or higher fidelity models to achieve the appropriate accuracy and speed. These transitions are achieved by effectively imposing (or releasing) certain systems constraints from a fine scale model to a reduced order model (or vice versa). The transition from a coarse model to a fine one may not result in a unique solution. Therefore, a knowledge-based or physics-based optimization procedure may be used to arrive at the finite number of solutions. In this paper, it is shown that traditional approaches to address and solve the optimization problem such as Lagrange multipliers or changing the constrained optimization problem to an unconstrained one based on coordinate partitioning or basic linear algebra methods are computationally expensive for biomolecular systems. It is demonstrated that using a DCA based approach in modeling the transition can reduce dramatically the computational expense associated with the manipulations performed as part of optimization as well as the ones performed to derive the dynamics of the transition.

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KNOWLEDGE-BASED FRAMEWORK FOR AUTOMATIC SEMANTISATION AND RECONSTRUCTION OF MILITARY ARCHITECTURE ON CITY-SCALE MODELS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w9-369-2019 ◽

2019 ◽

Vol XLII-2/W9 ◽

pp. 369-375

Author(s):

A. Gros ◽

K. Jacquot ◽

T. Messaoudi

Keyword(s):

Point Cloud ◽

A Priori ◽

Initial Point ◽

Scale Model ◽

Military Architecture ◽

Knowledge Based ◽

Scale Models ◽

The Town ◽

Consistency Evaluation

Abstract. The scale models of fortified towns belonging to the Plans-Reliefs collection are exceptional witnesses of the formation of the French territory. The aim of the URBANIA project is the valorisation and the diffusion of this heritage through the creation of virtual models. The town scale model of Strasbourg at 1:600 currently exhibited in the Historical Museum of Strasbourg was selected as a case study. We develop and experiment an automatic procedure to identify and reconstruct military architecture works from point cloud digitisation of this fragile and bulky heritage. A priori knowledge formalized in a domain ontology informs the identification of the works &ndash; via geometrical feature comparison and consistency evaluation within the fortification system morphology &ndash; and their parametric 3D reconstruction refined by direct fit to the initial point cloud.

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Use of a Knowledge-Based Governance Approach to Plan a Post-COVID-19 Predoctoral Dental

Dentistry Journal ◽

10.3390/dj9120142 ◽

2021 ◽

Vol 9 (12) ◽

pp. 142

Author(s):

Natasha M. Flake ◽

Daniel C. N. Chan ◽

Arthur C. DiMarco ◽

Bruce D. Silverstein

Keyword(s):

School Environment ◽

New Technologies ◽

Task Force ◽

Effective Means ◽

Relevant Information ◽

Knowledge Based ◽

Dental Curriculum ◽

Grading Scale ◽

School Of Dentistry ◽

Group Interviews

COVID-19 abruptly changed dental education, forcing educators out of their comfort zones and into using new technologies and teaching approaches. At the University of Washington School of Dentistry, a task force evaluated the curricular changes that resulted from COVID and made recommendations for the future predoctoral dental curriculum. This manuscript reports the process employed, the findings of the task force, and how these findings will impact the curriculum. A knowledge-based governance (KBG) approach was employed. KBG focuses on gathering all relevant information and identifying all choices. It separates dialogue from deliberation. Information was gathered via literature review, focus group interviews, electronic surveys, and other metrics. The task force evaluated: (1) delivering didactic content remotely; (2) administering assessments remotely; (3) duplicating preclinical simulation lab courses due to social distancing; and (4) the conversion from a numerical to a credit/no credit grading scale. Key recommendations resulted from focus groups and electronic surveys that allowed any student or faculty member an opportunity to provide input. Some topics were relatively non-controversial and strong recommendations were evident. The most controversial issue was which grading scale should be utilized. A KBG approach is an effective means to address mega issues in the dental school environment.

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Modeling Within-Person Variance in Reaction Time Data of Older Adults

GeroPsych ◽

10.1024/1662-9647/a000045 ◽

2011 ◽

Vol 24 (4) ◽

pp. 169-176 ◽

Cited By ~ 4

Author(s):

Philippe Rast ◽

Daniel Zimprich

Keyword(s):

Reaction Time ◽

Cognitive Aging ◽

Reaction Times ◽

Reaction Time Task ◽

Reaction Time Data ◽

Scale Model ◽

Time Data ◽

Time Task ◽

The Mean ◽

Second Wave

In order to model within-person (WP) variance in a reaction time task, we applied a mixed location scale model using 335 participants from the second wave of the Zurich Longitudinal Study on Cognitive Aging. The age of the respondents and the performance in another reaction time task were used to explain individual differences in the WP variance. To account for larger variances due to slower reaction times, we also used the average of the predicted individual reaction time (RT) as a predictor for the WP variability. Here, the WP variability was a function of the mean. At the same time, older participants were more variable and those with better performance in another RT task were more consistent in their responses.

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Is the Personal Always Political?

Journal of Individual Differences ◽

10.1027/1614-0001/a000230 ◽

2017 ◽

Vol 38 (3) ◽

pp. 133-143 ◽

Cited By ~ 4

Author(s):

Danny Osborne ◽

Yannick Dufresne ◽

Gregory Eady ◽

Jennifer Lees-Marshment ◽

Cliff van der Linden

Keyword(s):

Survey Data ◽

National Survey ◽

Negative Relationship ◽

Openness To Experience ◽

Political Sophistication ◽

Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

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Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000063 ◽

2011 ◽

Vol 27 (3) ◽

pp. 164-170 ◽

Cited By ~ 1

Author(s):

Anna Sundström

Keyword(s):

Psychometric Properties ◽

Self Efficacy ◽

Rating Scale ◽

Measurement Precision ◽

The Self ◽

Test Theory ◽

Self Report ◽

Scale Model ◽

Validity And Reliability ◽

Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

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An IRT Investigation of the Validity of Non-Patient Analogue Research Using the Beck Depression Inventory

European Journal of Psychological Assessment ◽

10.1027/1015-5759.11.1.14 ◽

1995 ◽

Vol 11 (1) ◽

pp. 14-20 ◽

Cited By ~ 22

Author(s):

Sean M. Hammond

Keyword(s):

Differential Item Functioning ◽

Beck Depression Inventory ◽

Rating Scale ◽

Latent Trait ◽

Scale Model ◽

Item Functioning ◽

Two Samples ◽

Patient Groups ◽

Analogue Research ◽

Rating Scale Model

This paper presents an IRT analysis of the Beck Depression Inventory which was carried out to assess the assumption of an underlying latent trait common to non-clinical and patient samples. A one parameter rating scale model was fitted to data drawn from a patient and non-patient sample. Findings suggest that while the BDI fits the model reasonably well for the two samples separately there is sufficient differential item functioning to raise serious duobts of the viability of using it analogously with patient and non-patient groups.

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Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽

10.1027/1614-2241/a000150 ◽

2018 ◽

Vol 14 (3) ◽

pp. 95-108 ◽

Cited By ~ 4

Author(s):

Steffen Nestler ◽

Katharina Geukes ◽

Mitja D. Back

Keyword(s):

Multilevel Model ◽

Multilevel Models ◽

Mixed Effects ◽

Repeated Measurements ◽

Scale Model ◽

Suggested Approach ◽

Psychological Study ◽

Level Data ◽

Ecological Momentary ◽

Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

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