ANALYSIS OF THE QUESTIONNAIRE FOR ASSESSING THE LEADERSHIP QUALITIES OF STUDENTS

2019 ◽  
Vol 5 ◽  
pp. 430
Author(s):  
Anatoly Maslak
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Theory Of Measurement ◽  
Interval Scale ◽  
Leadership Qualities ◽  
Wide Range ◽  
Measurement Results ◽  
Measuring Tool ◽  
Better Than

The quality of the questionnaire as a measuring tool largely determines the relevance of the results. The aim of the work is to analyze the quality of the questionnaire as a measuring tool used to evaluate the latent variable "leadership qualities of students". The study was conducted within the framework of the theory of measurement of latent variables, which has important advantages. First of all, the latent variable is determined operationally, through a set of indicators (questionnaire items), the more indicators, the higher the accuracy of the latent variable measurement. The latent variable and indicators are measured on the same interval scale in logits. This allows the use of a wide range of statistical procedures for the analysis of measurement results. The analysis of the following aspects of the quality of the questionnaire as a measuring tool: the presence of extreme indicators in the test, the compatibility of a set of indicators, the compliance of the questionnaire to the level of students on the measured latent variable, the uniformity of the distribution of indicators on the interval scale. The indicators that differentiate students with high and low levels of leadership qualities better than others are highlighted. Recommendations on the adjustment of the questionnaire as a measuring tool for assessing the leadership qualities of students are given. 

scholarly journals MEASURING SELF-ASSESSMENT OF STUDENTS’ CREATIVITY AT RIGA TECHNICAL UNIVERSITY

2020 ◽  
Vol 2 ◽  
pp. 87
Author(s):  
Anatoly Maslak ◽  
Nataļja Van Gejeka ◽  
Leonīds Pakrastiņš
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Self Esteem ◽  
Educational Process ◽  
The Self ◽  
Linear Scale ◽  
Self Assessment ◽  
Technical University ◽  
Measuring Tool

The purpose of the study is to measure the creativity of students at Riga Technical University on a linear scale of self-estimation. Self-estimation of students' creativity is assessed on the basis of indicators that are points of the corresponding questionnaire. The novelty of the study is that self-esteem of creativity is considered as a latent variable, which, in the framework of the theory of latent variables, is measured on a linear scale. In the framework of this theory, based on the Rasch model, an analysis of the quality of the questionnaire as a measuring tool is carried out. Three-way analysis of variance showed that the self-estimation of creativity of students of the Architectural faculty is statistically significantly higher than the self-esteem of creativity of students of the Construction faculty. The factors of students’ “gender” and “course” were noted as statistically insignificant. The results of the study should be used to analyse the quality of the educational process. 

scholarly journals A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

2020 ◽  
Author(s):  
Aditya Arie Nugraha ◽  
Kouhei Sekiguchi ◽  
Kazuyoshi Yoshii
Keyword(s):  
Speech Enhancement ◽  
Latent Variables ◽  
Latent Variable ◽  
Generative Models ◽  
Latent Variable Model ◽  
Variable Model ◽  
Variational Autoencoder ◽  
Latent Representations ◽  
Low Dimensional ◽  
Better Than

This paper describes a deep latent variable model of speech power spectrograms and its application to semi-supervised speech enhancement with a deep speech prior. By integrating two major deep generative models, a variational autoencoder (VAE) and a normalizing flow (NF), in a mutually-beneficial manner, we formulate a flexible latent variable model called the NF-VAE that can extract low-dimensional latent representations from high-dimensional observations, akin to the VAE, and does not need to explicitly represent the distribution of the observations, akin to the NF. In this paper, we consider a variant of NF called the generative flow (GF a.k.a. Glow) and formulate a latent variable model called the GF-VAE. We experimentally show that the proposed GF-VAE is better than the standard VAE at capturing fine-structured harmonics of speech spectrograms, especially in the high-frequency range. A similar finding is also obtained when the GF-VAE and the VAE are used to generate speech spectrograms from latent variables randomly sampled from the standard Gaussian distribution. Lastly, when these models are used as speech priors for statistical multichannel speech enhancement, the GF-VAE outperforms the VAE and the GF.

scholarly journals On the advances to obtain excellent and repeatable mechanical properties and build quality of LaserForm® Ti gr23 (A) across whole build platform

2020 ◽  
Vol 321 ◽  
pp. 03015
Author(s):  
Anthony Beckers ◽  
Gokula Krishna Muralidharan ◽  
Karel Lietaert ◽  
Nachiketa Ray ◽  
Pierre Van Cauwenbergh ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Gas Flow ◽  
Hot Isostatic Pressing ◽  
Fatigue Properties ◽  
Powder Bed ◽  
Part Quality ◽  
Metal Printing ◽  
Wide Range ◽  
Better Than

Direct Metal Printing (DMP) or Laser Based Powder Bed Fusion (L-BPF) enables manufacturing of highly complex geometries which are used in a wide range of applications - healthcare to aerospace. Producing these products with excellent and consistent part quality in terms of density and mechanical properties is key. DMP ProX® 320 machine has been used for over 10 years for this purpose. In this study, the key improvements made on the process stability for targeting consistent build quality across build platform and repeatability have been evaluated. The quality is assessed by determining the density, mechanical properties and surface roughness of direct metal printed LaserForm® Ti gr23 (A). The main finding from the study is that the use of the optimized gas flow enables production of LaserForm® Ti gr23 (A) with consistent and improved mechanical properties across the whole build platform. Moreover, there is no need any more for hot isostatic pressing to ensure good fatigue properties. The elongation strain to failure increased by 15 % to 20 %, which is 4-5 % higher than ASTM F3001 specifications. The axial fatigue limit (5x106 loading cycles) was 637 MPa (R=0.1), which is as good as or even better than annealed wrought Ti6Al4V.

scholarly journals Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network

2019 ◽  
Vol 9 (1) ◽  
pp. 1353-1359
Keyword(s):  
Quality Of Experience ◽  
User Mobility ◽  
Broadband Wireless ◽  
Bandwidth Request ◽  
Uplink Scheduling ◽  
Scheduling Model ◽  
Wide Range ◽  
Video And Audio ◽  
Better Than

Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm.

MEASUREMENT AND MULTIFACTORIAL ANALYSIS OF STUDENTS’ PATRIOTISM

2018 ◽  
Vol 1 ◽  
pp. 373-383 ◽  
Author(s):  
Anatoly Maslak ◽  
Stanislav Pozdnyakov
Keyword(s):  
Latent Variables ◽  
State University ◽  
Linear Scale ◽  
Spiritual Values ◽  
Internal Reasons ◽  
Fundamental Transformation ◽  
External Causes ◽  
Measuring Tool ◽  
Revaluation Of Values

The relevance of the work is based on internal and external causes. Internal reasons consist of the fundamental transformation and revaluation of values occurring in Russia. Patriotism is the foundation of responsibility for the preservation of spiritual values and the power of the country. External causes are the need to counter terrorism and conflicts in the world. The goal of the study is to measure the level of patriotism of students according to their gender, course, and department of the branch of Kuban State University in Slavyansk-on-Kuban. To accomplish this goal, it is necessary to assess the quality of the questionnaire as a measuring tool and measure the level of patriotism of students on a linear scale. The theory of latent variables is used as the method of research, allowing to measure the level of patriotism on a linear scale.

Design of Riveting Deformation Detective Element Based on Displacement Sensor

2012 ◽  
Vol 503-504 ◽  
pp. 1562-1565
Author(s):  
Ying Xu ◽  
Liang Wang ◽  
Yu Zhao
Keyword(s):  
Data Acquisition ◽  
Displacement Sensor ◽  
Aircraft Assembly ◽  
Measurement Results ◽  
Quality Testing ◽  
Measuring Tool

Rivet joint is a widely used connection mode in the aircraft assembly. The size of rivet deformation affect the quality of connection directly. This article design a riveting deformation detection element based on the displacement sensor. It can achieve the accurate measurement of pier diameter and height of the rivet. With adjustable measuring tool and data acquisition element, computer displays measurement measurement results, accomplishing the riveting quality testing.

scholarly journals BREBES SHEEP SKIN THAT IS HYDROLYSED WITH EXCESS ACID SOLUTION (CH3COOH) AND SITRATE ACID (C6H8O7) BECAME GELATIN

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Muhamad Hasdar ◽  
Wadli Wadli ◽  
Daryono Daryono
Keyword(s):  
Soaking Time ◽  
Local Resources ◽  
Randomized Design ◽  
Acid Protein ◽  
Skin Collagen ◽  
Measurement Results ◽  
Difference Test ◽  
Range Test ◽  
Better Than

Local resources from Brebes Regency that have not been maximized properly are sheep skin. Brebes sheep skin can be converted into gelatin. This study aims to determine the quality of the yield and gelatin protein of sheep skin hydrolyzed using weak acids. The main ingredient of this research is sheep skin from Brebes Regency, which is 1-2 years old. The research method uses a completely randomized design (CRD) 2 x 3 factorial pattern where the first factor is the soaking material (CH3COOH 2% v / v and C6H8O7 2% v / v) and the second factor is the immersion time (2 hours, 3 hours and 4 hour), then proceed with the Real Difference test using the Duncan Multiple Range Test (DMRT). The yield measurement results showed the percentage of sheep skin gelatin is 10,12-10,77%, and the measurement of sheep skin gelatin protein showed a percentage of 70,96-72,87%. The ability of CH3COOH 2% in hydrolyzing sheep skin collagen is better than C6H8O7 2%. The highest percentage of yield and protein is at 4 hours soaking time for each type of solution.Keywords: Gelatin, Low Acid, protein, sheep skin, rendement

scholarly journals Pathways Leading to Prevention of Fatal and Non Fatal CVDs: An Interaction Model on 15 years Population-Based Cohort study

2020 ◽  
Author(s):  
Najmeh Shakibaei ◽  
Razieh Hassannejad ◽  
Noushin Mohammadifard ◽  
Hamid Reza Marateb ◽  
Marjan Mansourian ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Lipid Profile ◽  
Life Style ◽  
Latent Variables ◽  
Equation Modeling ◽  
Causal Network ◽  
Coronary Syndrome ◽  
Wide Range

Abstract Background An extensive study on cardiovascular risk factors interaction seems to be of crucial importance in order to prevent cardiovascular (CVD) events. The main focus of this study is understanding direct and indirect relationships between different CVDs risk factors. Methods A longitudinal data on adults aged ≥ 35 years, who were free of CVD at baseline, were used to study. The endpoints were CVD events, while their measurements were demographic, socio-economics, life-style components, laboratory findings, anthropometric measures, psychological factors, and quality of life status. A Bayesian structural equation modeling (BSEM) was used to determine the relationships among 21 relevant factors associated with total CVD, stroke, acute coronary syndrome (ACS), and fatal CVDs. Results In this study a total of 3161 individuals with complete information were included in the study. Total 407 CVD events were occurred during follow-up. The causal associations between 6 latent variables were identified in the causal network for fatal and non-fatal CVDs. Lipid profile influences the occurrence of CVD events as the most important, but it did so indirectly mediate through the risky behaviors and comorbidities. Lipid profile at baseline was influenced by a wide range of other protective factors, such as quality of life and healthy life style components. Conclusions Analyzing a causal network on risk factors reveals the flow of information in direct and indirect paths, as well as determining predictors and demonstrate the utility of integrating multi-factor data in a complex framework to identify novel candidate preventable pathways to lower risk of CVDs.

Applying Item Response Trees to Personality Data in the Selection Context

2018 ◽  
Vol 22 (4) ◽  
pp. 1007-1018 ◽  
Author(s):  
David Michael LaHuis ◽  
Caitlin E. Blackmore ◽  
Kinsey Blue Bryant-Lees ◽  
Kristin Delgado
Keyword(s):  
Item Response ◽  
Personnel Selection ◽  
Decision Process ◽  
Latent Variables ◽  
Latent Variable ◽  
Decision Processes ◽  
Self Report ◽  
Tree Model ◽  
Tree Models ◽  
Better Than

Self-report personality scales are used frequently in personnel selection. Traditionally, researchers have assumed that individuals respond to items within these scales using a single-decision process. More recently, a flexible set of item response (IR) tree models have been developed that allow researchers to investigate multiple-decision processes. In the present research, we found that IR tree models fit the data better than a single-decision IR model when fitted to seven self-report personality scales used in a concurrent criterion-related validity study. In addition, we found evidence that the latent variable underlying the direction of a response (agree or disagree) decision process predicted job performance better than latent variables reflecting the other decision processes for the best fitting IR tree model.

scholarly journals A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

2020 ◽  
Author(s):  
Aditya Arie Nugraha ◽  
Kouhei Sekiguchi ◽  
Kazuyoshi Yoshii
Keyword(s):  
Speech Enhancement ◽  
Latent Variables ◽  
Latent Variable ◽  
Generative Models ◽  
Latent Variable Model ◽  
Variable Model ◽  
Variational Autoencoder ◽  
Latent Representations ◽  
Low Dimensional ◽  
Better Than

This paper describes a deep latent variable model of speech power spectrograms and its application to semi-supervised speech enhancement with a deep speech prior. By integrating two major deep generative models, a variational autoencoder (VAE) and a normalizing flow (NF), in a mutually-beneficial manner, we formulate a flexible latent variable model called the NF-VAE that can extract low-dimensional latent representations from high-dimensional observations, akin to the VAE, and does not need to explicitly represent the distribution of the observations, akin to the NF. In this paper, we consider a variant of NF called the generative flow (GF a.k.a. Glow) and formulate a latent variable model called the GF-VAE. We experimentally show that the proposed GF-VAE is better than the standard VAE at capturing fine-structured harmonics of speech spectrograms, especially in the high-frequency range. A similar finding is also obtained when the GF-VAE and the VAE are used to generate speech spectrograms from latent variables randomly sampled from the standard Gaussian distribution. Lastly, when these models are used as speech priors for statistical multichannel speech enhancement, the GF-VAE outperforms the VAE and the GF.

Sign in / Sign up

Export Citation Format

Share Document