Miracle-dz/UniFAR-FTUs huggingface dataset:
Motion-corrected en face optical coherence tomography angiography imaging based on the modified Lissajous scanning patter

A motion - corrected en face optical coherence tomography angiography (OCT - A) imaging method is presented in this paper. This method was designed to correct eye motion artifacts in en face OCT - A images automatically using a software. A modified Lissajous scanning pattern, which is compatible with OCT - A, was adopted as the scanning protocol for the optical coherence tomography (OCT) machine to obtain the OCT - A data. The OCT - A data was then processed using motion correction algorithm that was tailored for the modified Lissajous scanning pattern to correct the eye motion artifacts in the en face plane. The OCT - A slab between the inner limiting membrane and outer plexiform layer was segmented to provide an enhanced motion - corrected en face OCT - A image of the inner retinal flow. The comparison of the en face OCT - A images with and without motion correction show that our motion correction algorithm corrected the eye motion artifacts effectively. A motion - corrected en face OCT - A image of target layer is presented to confirm our method.
Examining Parent Anger and Emotion Regulation in the Context of Intensive Parenting

The purpose of this study was to examine the relationship between intensive parenting attitudes (IPAs), emotion regulation (ER), and parent anger among mothers of young children (N = 227). The researchers found that IPAs correlated with ER and parent anger. Moreover, essentialist and challenging parenting attitudes predicted anger experience, and cognitive reappraisal moderated the relationship between essentialism and anger experience. The authors discuss the limitations of the study and implications for research and practice.
Factor Score Regression in the Presence of Correlated Unique Factors

Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance−covariance matrix of the factor scores for bias before using this matrix as input data in a subsequent regression analysis or path model. Although not immediately obvious, Croon’s bias correction formulas are predicated upon the standard assumption of conditionally independent uniquenesses (measurement residuals). To our knowledge, the method’s performance has never been evaluated under conditions in which this assumption is violated. In the present research, we rederive Croon’s formulas for the case of correlated uniqueness and present the results of two Monte Carlo simulations comparing the method’s performance with standard methods when the unique factors were correlated in the population model. In our simulations, our proposed Croon FSR approaches outperformed methods that blindly assumed conditionally independent uniquenesses (e.g., uncorrected FSR, traditional Croon FSR, structural equation modeling [SEM] using standard specification), performed comparably to a correctly specified SEM, and outperformed SEMs that correctly specified the unique factor covariances but misspecified the structural model. We discuss the implications of our results for substantive researchers.
The Effects of Emotional Intelligence, Self-Leadership, Psychological Well-being to Academic Achievement of Nursing College Student

본 연구는 간호대학생의 감성지능, 셀프리더십, 심리적 안녕감이 학업성취도에 영향을 미치는 요인을 파악하고자 실시하였다. 연구대상자는 일부 시 지역 대학생을 대상으로 하였으며, 분석대상은 199명 이었다. 자료는 기술적 통계, t-tset, ANOVA, pearson correlation과 stepwise multiple regression으로 분석 하였다.
The Relationship between Knowledge about the Artist’s Mental Illness and Artwork Reception

Art reception is a complex process influenced by many factors, both internal and external. A review of the literature shows that knowledge about the artist, including their mental health, has an impact on the general assessment of their artwork. The purpose of this research was to examine the relationship between knowledge about the artist’s mental illness and the perception of the artwork. We focused on the subjective emotional experience and general assessment of ten specific pictures painted by patients diagnosed with schizophrenia. The research followed four cohorts (two groups divided into two subgroups—art experts and laypeople) of students for over a month. The results revealed significant differences between the two general groups as well as between the ‘expert’ and ‘laypeople’ groups. The findings showed that non-aesthetic categories (e.g., knowledge about the mental illness of an artist) were related to artwork perception and support a holistic and dynamic approach to aesthetic emotions.
Bullying in Schools: An Evaluation of the Use of Drama in Bullying Prevention

ABSTRACT Bullying can have a severe effect on the physical and mental health of young people. This qualitative descriptive research aimed to develop an understanding of young peoples’ experiences of an educational, interactive theatre-based workshop (the Bullying Prevention Session) which focused on developing strategies to address school bullying. Focus group interviews were conducted with students from six schools. Students reported that the workshop improved their understanding of the complexities of bullying, including appreciating the situation from the perspectives of both bullies and bystanders. Students noted their dissatisfaction with the schools’ efforts to implement bullying reduction strategies that they suggested at the workshop.
A Spectral Algorithm Based on Weighted Sparse Coding for Visual Saliency Detection

A spectral algorithm using weighted sparse coding is proposed for visual saliency detection in this paper.This algorithm is able to improve the accuracy of the traditional spectral saliency detection approaches while preserving their advantage of fast processing speed.Based on the traditional sparse coding algorithm,the sub-codes are weighted according to their incremental coding length.Then,the image is encoded by weighted sparse coding instead of directly transforming the raw images into frequency domain.Finally,we improve the multi-channel method developed in a recently published algorithm called image signature through information theory.Our method yields the saliency map with the form of the Shannon self-information.The experimental comparisons between the proposed and 9 state-of-the-art approaches and the analysis of complexity of our algorithm demonstrate the effectiveness and efficiency of our method.
Development and Maintenance of Self-Disclosure on Facebook: The Role of Personality Traits

This study explored the relationships between Facebook self-disclosure and personality traits in a sample of Italian users. The aim was to analyze the predictive role of Big Five personality traits on different parameters of breadth and depth of self-disclosed behaviors online. Facebook users, aged between 18 and 64 years of age (Mage = 25.3 years, SD = 6.8; N = 958), of which 51% were female, voluntarily completed an online survey assessing personality traits and Facebook self-disclosure. Results at a series of hierarchical regression analyses significantly corroborated the hypotheses that high extroverted and openness people tend to disclose on Facebook a significant amount of personal information, whereas high consciousness and agreeableness users are less inclined to do it. Furthermore, more extroverts and agreeableness people develop less intimacy on Facebook, differently from those with high levels of openness. Results also corroborated the hypothesis of a full mediation of time usage in the relationship between personality factors such as extroversion and conscientiousness with breadth of Facebook self-disclosure. Overall, according to the findings of the current study, personality traits and Facebook self-disclosure become central both as predictive variables for depicting the different profiles of potential addicted and as variables to help educators, teachers, and clinicians to develop training or therapeutic programs aimed at preventing the risk of Internet addiction. Limitations of the study are discussed, and directions for future research are suggested.
Thinking in Patterns

Humans have long been fascinated with patterns in nature and in socially constructedwork and cultural environments. Consequently, the abilities to identify patterns andmake sense of reality have been highly prized.British philosopher, Social and political theorist, Sir Isaiah Berlin highlighted the centralrole of patterns:“The pattern, and it alone, brings into being and causes to pass away and confers purpose,that is to say, value and meaning, on all there is. To understand is to perceive patterns. (…) To make intelligible is to reveal the basic pattern. ” (p. 129)Patterns are regular and intelligible forms or sequences that are discernible in the waythat events unfold, or that something happens or is done. Patterns can thus be describedas perceptible regularities in nature or in manmade (artificial) designs.
Conflicts between work and family and fathers’ mental health

Contemporary expectations for fathers continue to prioritise a ‘breadwinner’ model, where fathers’ jobs and income are seen as vital resources for families, in the same way that mothers’ unpaid work is viewed. However, fathers also want, and indeed are expected, to be warm, caring, involved and equal carers for infants and children. These competing demands and dilemmas create conflicts for fathers between their job demands and family care – referred to as work–family conflicts (Goode, 1960).
Fuzzy ART based approach for real-time map building

In order to perform complicated tasks in previously unknown indoor environments, autonomous mobile robots must be able to acquire models of their environments. The model or map, is often used for planning robot motions which perform a task while avoiding obstacles in the environment. Applications where there is no previously available world model usually rely on sensor systems, such as laser range finders, and infrared and sonar range sensors, to collect thousands of range points which are difficult to handle and interpret. The paper introduces an approach, based on the fuzzy ART neural architecture, for online map building. The map is incrementally constructed in real-time by fitting rectangular geometrical primitives to actual sensor data collected with a mobile robot. This results in a compact world model that is easy to integrate into planning approaches. A sensor data filtering approach is proposed to reject noisy range points. It is assumed that the robot knows its own current world location. Results of experiments with a real Nomad 200 mobile robot are presented, demonstrating the operation of the proposed map building method.
Evaluación de las competencias investigativas en los estudiantes de maestría de la Universidad Nacional Experimental del Táchira mediante el uso de modelos de regresión multinivel

The objective of this research was to apply multilevel analysis for the adjustment of a multilevel model aimed at evaluating the competencies of the masters students of the National Experimental University of Tachira, Venezuela. Theoretically, the model analyzes the variability among the students within each master's degree (level 1) and among the master's degrees (level 2), whose initial hypothesis establishes that the students of the same master's degree possess similar investigative competencies with respect to those who belong to other master's degrees. It was supported by an explanatory, correlational and quasi-experimental study. The sample consisted of 225 students, applying a structured instrument in two parts: one of 12 items on a nominal scale to measure personal and academic variables, and another on a 40-item Likert scale to evaluate research competencies. It was found that there are significant differences between the masters with respect to the research skills, because the intraclass correlation coefficient (ρ = 0.142) of the null model prevents compliance with the hypothesis of independence: Students of the same master's degree have similar investigative skills in comparison to those who are of another master's degree, multilevel analysis is appropriate. Then, variables predictors of the levels were incorporated: masters, students and both levels, obtaining the following multilevel model: COINij=1,3376*CMLc+2,5882*CML-1,0031*ST1*CMLc+uoj+eij.
Être l’artisan de son propre mieux-être au travail : le remodèlement d’emploi, ses antécédents et ses résultantes

Individuals can proactively modify aspects of their work by engaging in job crafting. To determine which types of job crafting behaviours predict the most variance in positive outcomes, the two main job crafting models (Tims, Bakker & Derks, 2012; Wrzesniewski & Dutton, 2001) were used to predict well-being, burnout, person-job fit, meaning at work and performance. First, the two models were empirically compared to determine their degree of overlap, before the resulting dimensions were used to determine which ones explained outcomes the most. FrenchCanadian employees (n = 115) completed job crafting questionnaires at Time 1, and outcomes questionnaires six months later. Results from an exploratory factorial analysis revealed that two job crafting dimensions from different models, challenging demands and task crafting, loaded on the same dimension. Multiple regression analyses revealed that this new challenging tasks dimension, where employees modify or add tasks to make them more stimulating for themselves, significantly predicted performance. Furthermore, the predictor that explained the most variance for wellness outcomes was structural resources, where employees seek resources to develop themselves in their job. Cognitive crafting, where employees modify or add tasks to make them more stimulating for themselves, contributed to predict both meaning at work and performance. Overall, job crafting behaviours that target personal development are most likely to lead to positive results.
On the Implementation of a Gamified Professional Development System for Direct Care Staff

ABSTRACT Many industries and professions rely heavily on entry-level staff. In some settings, it is important to further develop these individuals after onboarding and initial training is complete. Gamification in the workplace involves the redesign of employee activities such that they resemble or draw from environmental contingencies used in game design. We posit that gamification offers a behavior analytic-congruent approach to further developing entry-level employees, and occasioning behavior important to the employee and company as a whole. The purpose of this report is to provide a descriptive example of how a gamified model of professional development was implemented for a workforce of approximately 130 entry-level, direct care staff in a specialized education facility.
Attitude and Intention to Buy Vietgap Vegetables of Inhabitants at Ho Chi Minh City, Vietnam

The research aims at analyzing how the attitude factors affect the intention to buy VietGAP vegetables in Ho Chi Minh city, Vietnam (HCMC), by intervewing 633 inhabitants. The method of Cronbach’s Alpha analysis, EFA analysis, CFA analysis and structural equation modelling (SEM) were used with the SPSS and AMOS programs. The result shows that there are 04 attitude factors affects on the intention to buy VietGAP vegetables in HCMC decreasingly: (1) Vegetables safety, (2) Belief, (3) Health concern, (4) Subjective norm. The research also suggests some solutions to the VietGAP vegetable producers to enhance the selling capability.
Validación del cuestionario de Apoyo Social Funcional Duke-UNK-11 en personas cuidadoras.

espanolEl apoyo social se considera una variable mediadora fundamental en el proceso de estres de las personas cuidadoras. El cuestionario de Apoyo Social Funcional Duke-UNC-11 evalua el apoyo social percibido y ha sido adaptado a la poblacion espanola y ampliamente utilizado en poblacion general y cuidadora en Espana, aunque no ha sido validado en personas cuidadoras. Se aplico el DUKE-UNC a 120 cuidadores/as (rango de edad= 24-89 anos; media= 54,9; D.T. =15,14). Los resultados confirman la bidimensionalidad del instrumento y una consistencia interna y validez de constructo adecuadas, aunque muestran la existencia de variaciones en la distribucion de los items en los factores. El cuestionario es fiable y valido en personas cuidadoras en Espana, aunque se recomienda tener en cuenta las caracteristicas de esta poblacion al ser utilizado. EnglishThe social support is considered a fundamental mediating variable in the caregiver’s stress process. The Duke- UNC-11 functional social support questionnaire evaluates the perceived social support and has been adapted to the Spanish population and widely used in general population and caregivers in Spain, although it has not been validated in caregiver population. DUKE-UNC was applied to 120 caregivers (Rank of age= 24-89 years; Mean= 54,9; SD=15,14). Results confirm the two-dimensionality of the instrument and an adequate internal consistency and construct validity, although they show the existence of variations in the items’ distribution in the factors. The questionnaire is reliable and valid in caregivers in Spain, although it is recommended to consider the characteristics of this population when used.
Application of SPSS in Trajectory Consistency Test and Data Analysis

To standardize the ballistic consistency test data reliability analysis and enhance the accuracy of results,this paper introduces how to use the powerful data processing function of SPSS system to analyze the data reliability items,such as unusual value determination,distribution fit test,pair of samples mean uniformity examination and independent samples mean uniformity examination test method.Examples confirm the validity of the examination results and avoid getting different conclusions by using different test models.It has important reference for further ballistic consistency test and determination.
Generating functions for coherent intertwiners

We study generating functions for the scalar products of SU(2) coherent intertwiners, which can be interpreted as coherent spin network evaluations on a 2-vertex graph. We show that these generating functions are exactly summable for different choices of combinatorial weights. Moreover, we identify one choice of weight distinguished thanks to its geometric interpretation. As an example of dynamics, we consider the simple case of SU(2) flatness and describe the corresponding Hamiltonian constraint whose quantization on coherent intertwiners leads to partial differential equations that we solve. Furthermore, we generalize explicitly these Wheeler–DeWitt equations for SU(2) flatness on coherent spin networks for arbitrary graphs.
Does contextual diversity affect serial recall?*

ABSTRACT People are better at recalling lists of high- than low-frequency words but as Parmentier, Comesãna, and Soares [(2017). Disentangling the effects of word frequency and contextual diversity on serial recall performance. Quarterly Journal of Experimental Psychology, 70, 1–17. doi:10.1080/17470218.2015. 1105268] suggested, previous demonstrations were confounded with contextual diversity, the number of different contexts in which a word is encountered. They showed that when frequency is held constant, low contextual diversity words are recalled better than high contextual diversity words on immediate serial recall tests. We report five experiments that failed to replicate this result. Each experiment used a different set of stimuli that differed in contextual diversity but were controlled for frequency. It is possible that the effect of contextual diversity may be restricted to certain languages, such as Spanish but not English, or that the single set of Spanish stimuli used may be unique.
EFL Learners’ Preferences of Corrective Feedback in Speaking Activities

This study examines the preferences and perceptions of Saudi EFL learners concerning the use of Corrective Feedback (CF) during speaking activities. The participants consisted of sixty EFL pre-intermediate female learners in their preparatory year at the English Language Institute (ELI) in King Abdulaziz University in Saudi Arabia. The study utilized both quantitative and qualitative approaches, including a questionnaire to establish learners’ CF preferences when it came to the correction of errors during speaking activities, followed by interviews with ten learners to establish additional information on, and the reasons for, these preferences. The findings revealed that the students held a positive attitude to CF during speaking activities, strongly agreeing that their teachers’ CF could improve their speaking skills. The study also found that students preferred CF to be immediate and to be given by their teachers, who they considered the most qualified to provide such feedback. In addition, the majority of respondents favored receiving CF on their oral grammatical errors. This study provides beneficial information concerning students’ preferences towards the use of CF during speaking activities. This has the potential to contribute to EFL classroom practice, enabling teachers to reevaluate their instruction, particularly in relation to speaking skills, in order to improve speaking proficiency. Moreover, these results contribute to the literature focusing on EFL learners’ preferences when it comes to the use of the CF in English speaking classes in Saudi Arabia.
Quantifying the cost of providing intrusion tolerance in group communication systems

Group communication systems that provide consistent group membership and reliable, ordered multicast properties in the presence of faults resulting from malicious intrusions have not been analyzed extensively to quantify the cost of tolerating these intrusions. This paper attempts to quantify this cost by presenting results from an experimental evaluation of three new intrusion-tolerant microprotocols that have been added to an existing crash-fault-tolerant group communication system. The results are analyzed to identify the parts that contribute the most overhead during provision of intrusion tolerance at the group communication system level.
Recognition of unconstrained handwritten numerals based on dual cooperative neural network

A new neural network architecture called Dual Cooperative Neural Network (DCN) is presented in this dissertation for the recognition of totally unconstrained handwritten numeral patterns with an expectation of improved accuracy and reduced recognition time. DCN implements within its structure observations of human logical understanding and learning of numeral patterns and invariance properties which are modeled from biological visual system. The resulting structure of DCN consists of two cooperative networks: a Cartesian Network (CN) and a Log-Polar Network (LPN). The CN uses inputs represented in Cartesian coordinates, and the LPN uses the same inputs represented after the log-polar mapping. In log-polar transformed representation, rotation or scale of inputs in Cartesian coordinates appears as horizontal or vertical shifts, which can be easily detected by using nearby horizontal or vertical feature detecting cells in log-polar feature maps. Also both data representations have distinctiveness in their shapes for recognition. Each network is also hierarchically configured with three layers: a local feature map layer, a maximum selection layer, and a decision layer with back-propagation networks. DCN achieves robustness to positional shift, rotation, and scale by defining areas of feasible feature locations in both feature maps. Distortion is handled by multiple and blurred representative shapes generated by self-organization of feature maps, and is also handled by their combinations. The experimental results indicate that DCN is robust to various forms of local and global deformations in real data by achieving a 97.33% recognition rate without rejection and 94.74% with rejection for a 1% error with Zip code test numerals.