scholarly journals QuestPlus: A MATLAB Implementation of the QUEST+ adaptive Psychometric Method

2018 ◽  
Vol 6 ◽  
Author(s):  
Pete Richard Jones
Keyword(s):  
Psychometric Method ◽  
Matlab Implementation

scholarly journals Floating-bending tensile-integrity structures

2021 ◽  
Vol 8 (1) ◽  
pp. 89-95
Author(s):  
Micol Palmieri ◽  
Ilaria Giannetti ◽  
Andrea Micheletti
Keyword(s):  
Structural Design ◽  
Membrane Systems ◽  
Limit States ◽  
Form Finding ◽  
Supported Membrane ◽  
Tensegrity Systems ◽  
Matlab Implementation ◽  
Diamond Type ◽  
Conceptual Work

Abstract This is a conceptual work about the form-finding of a hybrid tensegrity structure. The structure was obtained from the combination of arch-supported membrane systems and diamond-type tensegrity systems. By combining these two types of structures, the resulting system features the “tensile-integrity” property of cables and membrane together with what we call “floating-bending” of the arches, a term which is intended to recall the words “floating-compression” introduced by Kenneth Snelson, the father of tensegrities. Two approaches in the form-finding calculations were followed, the Matlab implementation of a simple model comprising standard constant-stress membrane/cable elements together with the so-called stick-and-spring elements for the arches, and the analysis with the commercial software WinTess, used in conjunction with Rhino and Grasshopper. The case study of a T3 floating-bending tensile-integrity structure was explored, a structure that features a much larger enclosed volume in comparison to conventional tensegrity prisms. The structural design of an outdoor pavilion of 6 m in height was carried out considering ultimate and service limit states. This study shows that floating-bending structures are feasible, opening the way to the introduction of suitable analysis and optimization procedures for this type of structures.

Mental Disorders in Patients with Temporomandibular Pain-dysfunction Syndrome

2017 ◽  
Vol 41 (S1) ◽  
pp. S254-S254
Author(s):  
V. Medvedev ◽  
V. Frolova ◽  
Y. Fofanova
Keyword(s):  
Psychiatric Disorders ◽  
Affective Disorders ◽  
Inform Consent ◽  
Painful Condition ◽  
Schizotypal Personality ◽  
Icd 10 ◽  
Psychometric Method ◽  
Competing Interest ◽  
Depressive Episodes ◽  
Temporomandibular Pain

IntroductionMaxillofacial surgeons and dentists often deal with the phenomenon of temporomandibular pain-dysfunction syndrome–painful condition of maxillofacial area without clear organic pathology. Psychiatric studies of this disorder are almost lacking. The aim of this study was to determine the prevalence of psychiatric disorders in patients with temporomandibular pain-dysfunction syndrome and to define the psychiatric diagnosis (ICD-10).MethodsStudy sample consists of 57 patients (44 women and 13 men) with temporomandibular pain-dysfunction syndrome aged older than 18 years, who gave inform consent. The study used clinical psychopathological, psychometric (HADS, HDRS, State-Trait Anxiety Inventory, Hypochondria Whitley Index, Visual Analog Scale for Pain).ResultsPsychiatric disorders were revealed in 48 patients (84.2%) with temporomandibular pain-dysfunction syndrome–39 women and 9 men aged 18-65 years (mean age 39.6 ± 15.4 years). Affective disorders was diagnosed in 56.3%, personality disorders in 20.8%, schizotypal personality disorder in 12.5% and schizophrenia in 10.4%. Among affective pathology mild and moderate depressive episodes prevailed (59.3%). The severity of pain (VAS) in patients with affective disorders was higher than in patients with other psychiatric conditions.ConclusionThis study shows high prevalence of psychiatric disorders in patients with temporomandibular pain-dysfunction syndrome and proves the feasibility of a psychiatrist participate in the complex treatment of these patients. The use of psychometric method allows to improve the timeliness of the detection of patients who require further clinical psychopathological examination in order to determine the need of pharmacotherapy.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals FANCY: Fast Estimation of Privacy Risk in Functional Genomics Data

2019 ◽  
Author(s):  
Gamze Gürsoy ◽  
Charlotte M. Brannon ◽  
Fabio C.P. Navarro ◽  
Mark Gerstein
Keyword(s):  
Functional Genomics ◽  
Cumulative Number ◽  
Rna Seq ◽  
Privacy Risk ◽  
Privacy Concerns ◽  
Link Type ◽  
Privacy Leakage ◽  
Independent Test ◽  
Matlab Implementation ◽  
Test Sets

AbstractFunctional genomics data is becoming clinically actionable, raising privacy concerns. However, quantifying the privacy leakage by genotyping is difficult due to the heterogeneous nature of sequencing techniques. Thus, we present FANCY, a tool that rapidly estimates number of leaking variants from raw RNA-Seq, ATAC-Seq and ChIP-Seq reads, without explicit genotyping. FANCY employs supervised regression using overall sequencing statistics as features and provides an estimate of the overall privacy risk before data release. FANCY can predict the cumulative number of leaking SNVs with a 0.95 average R2 for all independent test sets. We acknowledged the importance of accurate prediction even when the number of leaked variants is low, so we developed a special version of model, which can make predictions with higher accuracy for only a few leaking variants. A python and MATLAB implementation of FANCY, as well as custom scripts to generate the features can be found at https://github.com/gersteinlab/FANCY. We also provide jupyter notebooks so that users can optimize the parameters in the regression model based on their own data. An easy-to-use webserver that takes inputs and displays results can be found at fancy.gersteinlab.org.

Studying the coherence of studentsʼ portrayed representations of the atomic structure - Connections with conceptions and misconceptions

2021 ◽  
Vol 32 (2) ◽  
pp. 164-171
Author(s):  
Nikolaos Zarkadis ◽  
◽  
Dimitrios Stamovlasis ◽  
George Papageorgiou ◽  
◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Atomic Structure ◽  
Latent Class ◽  
Theory And Practice ◽  
Particle Model ◽  
Nuclear Model ◽  
Education Students ◽  
Psychometric Method ◽  
Drawing Tasks ◽  
And Behavior

The present study investigated the association of students’ fundamental ideas and misconceptions about ontological features of atom identity and behavior with the formation of their portrayed representations of the atomic structure. Participants (n = 421) were secondary education students in the eighth, tenth, and twelfth grades. Students’ portrayed representations of the atomic structure were accessed through drawing tasks, while their understanding of the ontological features of atom was measured through a specially designed questionnaire. Latent Class Analysis (LCA), a psychometric method, was applied to the elementary features of the portrayed representations to classify them and test the potential coherence of their representations regarding atomic structure. The LCA revealed three latent classes, which showed a relative coherence in three of the anticipated models, “Particle model,” “Nuclear model,” and “Bohrʼs model.” Moreover, students’ conceptions and misconception about the ontological features of atom were used as covariates in the LCA and their effects on the above-mentioned class-memberships were estimated. Results indicated a significant effect of students’ conceptions of the atomic ontological features on their portrayed representations of the atomic structure. Implications for theory and practice are discussed.

A Perceptual Approach for Image Representation and Retrieval

2011 ◽  
pp. 121-141
Author(s):  
Noureddine Abbadeni
Keyword(s):  
Image Retrieval ◽  
Image Representation ◽  
Rank Correlation ◽  
Human Perception ◽  
Image Data ◽  
Content Based Image Retrieval ◽  
Data Set ◽  
Psychometric Method ◽  
Results Merging ◽  
Spearman Rank Correlation Coefficient

This chapter describes an approach based on human perception to content-based image representation and retrieval. We consider textured images and propose to model the textural content of images by a set of features having a perceptual meaning and their application to content-based image retrieval. We present a new method to estimate a set of perceptual textural features, namely coarseness, directionality, contrast and busyness. The proposed computational measures are based on two representations: the original images representation and the autocovariance function (associated with images) representation. The correspondence of the proposed computational measures to human judgments is shown using a psychometric method based on the Spearman rank-correlation coefficient. The set of computational measures is applied to content-based image retrieval on a large image data set, the well-known Brodatz database. Experimental results show a strong correlation between the proposed computational textural measures and human perceptual judgments. The benchmarking of retrieval performance, done using the recall measure, shows interesting results. Furthermore, results merging/fusion returned by each of the two representations is shown to allow significant improvement in retrieval effectiveness.

scholarly journals PSO_LSSVM Prediction Model and Its MATLAB Implementation

2020 ◽  
Vol 428 ◽  
pp. 012089
Author(s):  
Lili Chen ◽  
Lei Duan ◽  
Yanjun Shi ◽  
Chenwei Du
Keyword(s):  
Prediction Model ◽  
Matlab Implementation
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