• Human Ecology Research
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• v.59 no.2
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• pp.143-156
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• 2021

This study presents the psychometric properties of the Infant Behavior Questionnaire-Revised (IBQ-R), including internal consistency, content validity, and construct validity. The IBQ-R is a caregiver (parent) reporting instrument designed to assess temperament in infants (aged 3-12 months). Two groups of participants were included. The first group comprised 92 infants and the second 83 infants, giving a total of 175 infants (M=8.3 months, 80 boys and 95 girls). Their caregivers completed IBQ-R. The IBQ-R subscales demonstrated adequate internal consistency. Also, confirmatory factor analyses of the IBQ-R scale found that three broad dimensions: surgency, negative affectivity, and orientation/regulation. This study confirmed that the IBQ-R is a reliable and valid temperament instrument that can be recommended for evaluating temperament in infants.

• Smart Media Journal
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• v.10 no.3
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• pp.9-22
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• 2021

Basically, machine learning models use input data to produce results. Sometimes, the input data is too complicated for the models to learn useful patterns. Therefore, feature engineering is a crucial data preprocessing step for constructing a proper feature set to improve the performance of such models. One of the most efficient methods for automating feature engineering is the autoencoder, which transforms the data from its original space into a latent space. However certain factors, including the datasets, the machine learning models, and the number of dimensions of the latent space (denoted by k), should be carefully considered when using the autoencoder. In this study, we design a framework to compare two data preprocessing approaches: with and without autoencoder and to observe the impact of these factors on autoencoder. We then conduct experiments using autoencoders with classifiers on popular datasets. The empirical results provide a perspective regarding the best suited autoencoder for these factors.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.165-170
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• 2022

Lying is nuisance to all, and all liars knows it is nuisance but still keep on lying. Sometime people are in confusion how to escape from or how to detect the liar when they lie. In this research we are aiming to establish a dynamic platform to identify liar by using video analysis especially by calculating the ratio of changes in their appearance when they lie. The platform will be developed using a machine learning algorithm along with the dynamic classifier to classify the liar. For the experimental analysis the dataset to be processed in two dimensions (people lying and people tell truth). Both parameter of facial appearance will be stored for future identification. Similarly, there will be standard parameter to be built for true speaker and liar. We hope this standard parameter will be able to diagnosed a liar without a pre-captured data.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.265-272
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• 2022

The most effective method to improve information system capabilities is to enable instant access to several relational database sources and transform data with a logical structure into multiple target relational databases. There are numerous data transformation tools available; however, they typically contain fixed procedures that cannot be changed by the user, making it impossible to fulfill the near-real-time data transformation requirements. Furthermore, some tools cannot build object references or alter attribute constraints. There are various situations in which tool changes in data type cause conflicts and difficulties with data quality while transforming between the two systems. The R-programming language was extensively used throughout this study, and several different relational database structures were utilized to complete the proposed study. Experiments showed that the developed study can improve the performance of information systems by interacting with and exchanging data with various relational databases. The study addresses data quality issues, particularly the completeness and integrity dimensions of the data transformation processes.

• Ocean Systems Engineering
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• v.12 no.4
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• pp.413-437
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• 2022

An innovative concept for wet-transportation and stepwise installation of mono-bucket foundation for 15 MW offshore wind turbine is proposed. Case studies for two different mono-bucket and wrap-buoy dimensions are conducted and their hydrostatic and hydrodynamic performances are compared for both wet-towing and lowering operations. The intact stability and transient responses are analyzed in detail for various stages of lowering operation. Wave-induced motion statistics during wet tow in sea state 4 (highest operational window) are checked. The proposed concept is found to be feasible and can be an alternative cost-effective solution without using heavy-lift crane vessel in practice.

• Nuclear Engineering and Technology
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• v.54 no.5
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• pp.1541-1548
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• 2022

The thermal conductivity of uranium oxide (UO₂) containing pores and grain boundaries is investigated using continuum-level simulations based on the finite-difference method in two and three dimensions. Steady-state heat conduction is solved on microstructures generated from the phase-field model of the porous polycrystal to calculate the effective thermal conductivity of the domain. The effects of porosity, pore size, and grain size on the effective thermal conductivity of UO₂ are quantified. Using simulation results, a new empirical model is developed to predict the effective thermal conductivity of porous polycrystalline UO₂ fuel as a function of porosity and grain size.

• Structural Engineering and Mechanics
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• v.81 no.3
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• pp.259-266
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• 2022

Based upon differential quadrature method (DQM) and nonlocal strain gradient theory (NSGT), an investigation on the free vibrations of 2D plate systems with nano-dimensions has been provided taking into account the effects of different mechanical loadings. In order to capture different mechanical loadings, a general form of variable compressive load applied in the axial direction of the plate system has been introduced. The studied plate has been constructed from two types of particles which results in graded material properties and nanoscale pores. The established formulation for the plate is in the context of a novel shear deformable model and the equations have been solved via a semi-numerical trend. Presented results indicate the prominence of material composition, nonlocal coefficient, strain gradient coefficient and boundary conditions on vibrational frequencies of nano-size plate.

• Journal of Agricultural Extension & Community Development
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• v.29 no.2
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• pp.65-79
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• 2022

It is important to understand sense of community and community participation for successful community development projects. This study aims to identify the factors influencing community participation on sense of community. Data were collected from 173 usable respondents from 8 villages in Gyeongsangnam-do. Results of a factor analysis yielded two dimensions of sense of community which were shared emotional connection/influence and reinforcement of needs/membership. Hierarchical regression analysis revealed that female, less educated, younger are more likely to be highly participated. The study suggested that policy makers and community practitioners consider the sense of community, age, gender, and educational background to enhance community participation.

• Asia Marketing Journal
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• v.17 no.1
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• pp.149-160
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• 2015

Social enterprises that seek to pursue socially desirable goals through economic profits have received considerable attention in recent years. Despite the widespread attention paid to social enterprises, they often achieve limited success in markets. This research examines how types of enterprises affect consumer judgments. This research considers two types of enterprises: social and for-profit enterprises. Building on the stereotype content model, we propose that consumers perceive social enterprises using the dimensions of warmth and competence. Study 1 shows that a product of a for-profit enterprise is judged as having higher performance, but being less meaningful; in contrast, a product of a social enterprise is judged as warmer, but less competent. Further, in Study 2, we demonstrate that consumers' willingness to buy products can be lowered when the products are offered by a social enterprise. Practical and theoretical implications are further discussed.

• Asia Marketing Journal
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• v.20 no.3
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• pp.17-38
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• 2018

Branded service encounters, in which various aspects of frontline employees are strategically aligned with the firm's brand positioning, can be achieved along several dimensions such as employee appearance, manner, and personality. While previous research has mainly focused on behavioral traits of employees, this research examines the employee's physical appearance in association with the brand personality trait across two studies. Study 1 shows that salesperson look-brand personality congruence enhances brand affect by inducing positive affect. Specifically, a brand-congruent look of a salesperson increases positive affect among customers by confirming their prior expectations about what a salesperson of a certain brand should look like as a brand representative. Study 2 reveals that the positive impact of salesperson look-brand personality congruence on brand affect is significant only for customers with high social anxiety whereas this effect disappears for those with low social anxiety. These findings extend previous research on branded service encounters by showing why and when frontline employees' physical appearance shapes customers' affective responses toward the brand.