Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of personality traits on financial behaviour

Purpose- The development of financial markets, the complexity of financial products and services, the differences in individual investor profile increase the importance of estimating the financial behaviour of individual investors. The aim of the study is to determine the effects of individual investor's personality traits on their financial behaviors. Methodology- A questionnaire designed to evaluate the personality traits and financial behaviours of individual investors was used. The data set consisted of 1347 individual investors through survey method. We performed multiple linear regression to examine the hypothesized relationships. Findings- According to the statistical results of the research, the dimensions of personality traits such as conscientiousness, agreeableness and openness to experience have positive and significant effects on financial behaviour. But extraversion and neuroticism have not significant effects on financial behaviour. Conclusion- The results of the study emphasize the importance of personality characteristics in explaining financial behaviours. Personality traits are important factors that financial institutions should focus on when offering products and services related to individual investor portfolios.
Perception and utilization of complementary and alternative medicine (CAM) among University of Sharjah (UOS) students

Background: Complementary and Alternative Medicine (CAM) is a term used for practices and use of products other than conventional standard evidence-based medical care.Objective: To assess the CAM knowledge and utilization among University of Sharjah students, UAE.Method: A cross-sectional survey study was conducted. 250 surveys among UOS students were distributed. The data was obtained through a well-designed questionnaire of 3 main categories. The first part was designed to collect socio-demographic data, while the second part mainly measured CAM knowledge and the practicing pattern. The last section was developed to assess CAM beliefs and psychological behavior behind CAM utilization.Results: 214 participants agreed to participate (response rate 85.6%), and 81% reported their belief in CAM as medical therapy. The reason behind their belief in CAM was due to efficacy (37%) and safety (21%). Approximately 74% of participants claimed their CAM knowledge, and the most frequently used CAM therapy was cupping. Most participants (47%) gained their knowledge from regular courses offered by UOS. Around 33% of the participants consult their physicians before utilizing CAM therapy. However, 42% utilized CAM by unlicensed practitioners.Conclusion: Obtained results indicated the high level of CAM knowledge among UOS students in particular females while cupping being the most frequent used CAM therapy. The main reasons justifying the use of cupping was religion, and cultural-based. The lack of sufficient scientific data and the minimal link between the physician and the consumers were the main obstacles attributed to the limited use of CAM.
‘Being on Trend’: Selfie as a Social Phenomenon

The article analyzes the selfie as a social phenomenon. It considers theories in the field of social science that deal with this issue; reviews existing scientific approaches to the selfie and suggests critisism. Using the iconographic method (E. Panofsky) and visual discourse-analysis, we study visual content of a 200-picture random sample aiming to reveal the hidden rules of selfie’s reproduction. As a result insights into the essence of selfie-taking as a social practice are offered, possible explanations of 2012-2016 selfie-boom are put forward. It is suggested that the selfie be viewed as a social practice that maintains an individual's social identity. The authors assume that the selfie popularity is caused by the convenient visual format of such communicative messages. Firstly, the visual format of the selfie explicates the main trend in the Western values (living a full life, experience strong emotions). Secondly, it allows for the active circulation of selfies on the internet: the visual pattern of photographed self-portraits facilitates reading and spreading those messages on the web.
Distance-weighted modulation transfer function measurement method

Modulation spread function (MTF) is the function of spatial frequency used to evaluate the spatial quality of an imaging system. In measuring the MTF of the digital images, the slanted edge method is widely used. The traditional method projects the pixel values to the direction perpendicular to the edge and construct the edge spread function (ESF) in a subpixel resolution by binning pixels. However, the pixels within in a subpixel bin is not always distributed uniformly, which introduces errors in measurement results. Meanwhile, the value of an image pixel may deviate from the exact value of the ESF on the position of the pixel center since it is the integral of a short segment of the continuous ESF. Besides, the sampling interval is compressed due to inclination, so that the scale in the frequency domain is changed. In this paper, a novel measurement method which samples the ESF via weighting by distance is proposed and the errors exist in the traditional method is compensated. The edge location estimation method is also improved. Simulation experiments on different edge angles and image noise levels are conducted. The results show that the proposed method has an excellent performance on measuring accuracy and robustness.
Language Matters: The Double-Edged Role of Linguistic Style Matching in Work Groups

Linguistic style matching (LSM) refers to a similar linguistic style among conversation partners. We examine the effects of LSM on perceived team performance and perceived social support in real work groups. We propose that team tenure moderates the relationship between LSM and perceived performance such that LSM and performance are positively related for teams with low tenure and negatively related for teams with high levels of tenure. We also propose that LSM and perceived social support are positively related. To test the hypotheses, we videotaped and transcribed meetings of 160 researchers, nested in 26 teams, to assess the individual levels of LSM. We measured team performance and social support with questionnaire scales. In partial support of the hypotheses, multilevel models show a negative relationship between LSM and team performance and a positive relationship between LSM and social support. We discuss potential implications for team research and practitioners.
How Should Monetary Policy Respond to Shocks While Maintaining Long-Run Price Stability

Price stability—which because of an upward bias in measuring inflation may be defined as 1 or 2 percent measured inflation— directly raises economic well-being by increasing the efficiency of the monetary system and by reducing uncertainty about the future. There are also macroeconomic benefits of price stability. Crosscountry evidence shows that countries with lower rates of inflation tend to have higher long-term economic growth rates. Moreover, a low and steady inflation rate improves cyclical performance: since the high and volatile inflation was ended in the early 1980s and a more credible and systematic monetary policy was put in place, cyclical stability has improved in the United States. From 1982 to the present, there have been two historically long economic expansions separated by a relatively short national recession. Hence, it appears that price stability yields benefits both in higher economic growth and greater output and employment stability.
The Influence of Emotion Regulation on Well-Being, Internalizing Symptoms, and Disordered Eating Among Emerging Adults

Emerging adulthood is a key period for the development of ER, which may set individuals on lifelong trajectories of mental health. Therefore, it is important to understand what components of ER are associated with adaptive and maladaptive outcomes among emerging adults. Using structural equation modelling, the relationships between different components of ER (dysregulation, strategy use, flexibility) and well-being (happiness, flourishing), internalizing symptoms (depression, anxiety), and disordered eating were explored. As expected, dysregulation was related to reduced well-being and greater internalizing symptoms and disordered eating. Reappraisal was positively associated with well-being and negatively associated with internalizing symptoms, while the opposite relationship was found for suppression. Suppression was also linked to disordered eating. ER flexibility was related to wellbeing for emerging adult men only. Further, dysregulation had the largest effect on all outcomes. The research findings have important implications for researchers, clinicians, and post-secondary institutions and can inform prevention and treatment.
The relationship between employee motivation, working environment and training with employee performance

This study aimed to examine employees' perceptions on factors relating to employee performance. Three independent variables were involved in this study namely, employee motivation, work environment, and training, whilst the dependent variable was employee performance. This was a quantitative study using questionnaires which were distributed to 459 respondents working at the headquarters of Bank XYZ located in Kuala Lumpur. 308 questionnaires were returned for data analysis using descriptive analysis and correlation. The findings reported that there were significant and strong relationships between working environment and employee performance (r=0.630, p<0.01) and between training and employee performance (r=0.540, p<0.01). The result showed that there was a significant and moderate relationship between employee motivation and employee performance (r=0.423, p<0.01). Implications of the findings and future research were also discussed.
Lunch on the Grass: Three Women Art Educators of Color

We are three art educators, Women of Color (WoC), in higher education. In this article, we use trioethnography, a dialogic methodology, to provide context for understanding our struggles as such. We describe our challenges navigating a field (art education) that has embraced feminist scholarship, yet has historically paid little attention to how the intersections of race and gender systemically marginalizes WoC. We utilize scholarship from feminists of color, and the artwork of Black, queer, female visual artist Mickalene Thomas to counter the negation of our voices and reveal the complexity of our lived experiences to our predominately White female field. We look to intersectional feminisms to shift the art education discourse so that WoC’s matrices of oppression are considered. Ultimately, we seek to complicate the traditional feminist discourse that occurs in the art education field. Using trioethnography as a methodology allowed our recorded and transcribed dialogs to become our site of inquiry and, ultimately, become narratives of resistance in relation to dominant narratives/discourse. We offer three thematic lenses for examining our dialog: “Keeping it Real,” “Invisible Burdens,” and “Kinship Ties. ” Further, we juxtapose these narratives alongside our photographic reenactment of Thomas’s artwork as a backdrop and third space for examination.
Modelling and Online Optimisation of Robotic Fish Behaviours

Fish are excellent swimmers with high swimming efficiency and perfect manoeuvring abilities. Designing a robotic fish with fish-like swimming behaviour in a dynamic environment is such a challenging task, that it requires a full understanding of hydrodynamics, fish propulsion mechanisms, and the approaches for mimicking the real fish swimming. This book is based on author's PhD thesis finished at University of Essex in 2007, which aims to develop: (i) a control architecture for autonomous control, (ii) basic fish-like swimming ability, (iii) behaviour-based intelligent control, and (iv) online learning algorithms. The Essex robotic fish has been reported widely by major media including BBC, ABC, CNN and National Geographic since 2005. Many multimedia resources can be found in the Internet.
Peer Interventions for Students With Autism Spectrum  Disorder in School Settings: Introduction to the Special Issue

Abstract Federal legislation protects the rights of students with autism spectrum disorder (ASD) to be educated alongside typically developing peers in inclusive settings. The majority of students with ASD are educated with typically developing peers for at least 40% of the instructional school day; however, students with ASD can experience peer difficulties within these settings. The purpose of this special issue is to highlight the role of peer interventions in improving various aspects of functioning for students with ASD. In this article, we introduce and review the evidence base supporting the value of peer interventions for students with ASD. We situate peer interventions within a general multitiered system of support and align interventions in the special issue with each tier. We conclude our introduction by highlighting findings from investigations contributing to the special issue. Across this special issue, the authors identify barriers to implementation of peer interventions within school settings and their potential solutions.
Parties, Politics, And Public Policy in America

With revitalized and stronger political parties should we see more effective and accountable government? Despite the resurgence of parties in America, charges of irresponsible and unreliable government remain. Why the disconnect? In "Parties, Politics, and Public Policy in America", Marc Hetherington along with new coauthor Bruce Larson explore this question, while giving students an overview of how parties work and shape public policymaking in America. In this eleventh edition, Hetherington and Larson provide more in-depth coverage of the parties - functions in Congress and campaign finance. In addition, the authors examine developments in the 2008 nomination and election contests - generational voting patterns, shifts in the red-blue divide, and the possibility of a partisan realignment. No other book for this course combines the breadth of scholarship with the brevity and accessibility found here.
The Role of Safety-specific Transformational Leadership in Reducing Near Miss Incidents, Using Safety Climate as a Mediator

Despite the fact that near miss incident plays an important role in the evaluation and improvement of workplace safety, there is limited work on identifying the reasons and providing solutions to curtail near miss incidents at workplace. The current study looks to fill this void by proposing safety-specific leadership approach to combat near miss incidents. Furthermore, the study also discussed that the mechanism through which safety-leadership impact near misses is not direct rather it is achieved by strengthening follower’s safety climate perceptions. The practical contributions of the proposed research agenda are also discussed.
A routing protocol for sensor networks based on policies for environmental monitoring seasonal

This article presents the PBP (Policy-Based Protocol) for wireless sensor networks. Its main objectives are to increase the lifetime of the network and improve data delivery rate making efficient use of energy. This is achieved through the implementation of policies for managing the transmission intervals of observed events and the routing protocol that uses techniques from network optimization, through multiple pathways and clustering for data delivery to the sink in accordance with policy applied . The PBP was compared with routing protocols proposed in the literature using similar techniques. The results show that the PBP presents the best performance among evaluated protocols concerning the lifetime of sensor.
Social Entrepreneurship from the Perspective of Opportunity: Integration Analysis Based on Timmons Process Model

As an effective means to solve social problems, social entrepreneurship has received extensive attention from academic and practical circles. Although social entrepreneurship research has achieved great development in the past decade, the research results in various fields are still scattered and lack of a systematic logical framework, which hinders its rapid growth into a more potential research field. Combining the Timmons entrepreneurial model with Shane and Venkataraman’s entrepreneurial opportunity process research ideal, we take the sources, identification and utilization of social entrepreneurship opportunities as the basis, and at the same time contact with social entrepreneurship subjects and resources to deeply explore the interaction and dynamic balance between various elements from the perspective of entrepreneurship process. Then, we explore the constructive integration analysis framework of social entrepreneurship, which has important theoretical and practical significance for further deepening and expanding social entrepreneurship research.
Partial Face Detection and Illumination Estimation

Title of thesis: PARTIAL FACE DETECTION AND ILLUMINATION ESTIMATION Sayantan Sarkar Master of Science, 2018 Thesis directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Face Analysis has long been a crucial component of many security applications. In this work, we shall propose and explore some face analysis algorithms which are applicable to two different security problems, namely Active Authentication and Image Tampering Detection. In the first section, we propose two algorithms, “Deep Feature based Face Detection for Mobile Devices” and “DeepSegFace” that are useful in detecting partial faces such as those seem in typical Active Authentication scenarios. In the second section, we propose an algorithm to detect discrepancies in illumination conditions given two face images, and use that as an indication to decide if an image has been tampered by transplanting faces. We also extend the illumination detection algorithm by proposing an adversarial data augmentation scheme. We show the efficacy of the proposed algorithms by evaluating them on multiple datasets. PARTIAL FACE DETECTION AND ILLUMINATION ESTIMATION
A data placement approach for scientific workflow execution in hybrid clouds

Cloud computing has been widely adopted by industry practitioners and researchers. Recently, applications in science and engineering such as scientific workflows have also been increasingly deployed in clouds. As these applications are becoming resource intensive in both data and computing, private clouds struggle to cope with their resource requirements. Public clouds claim to overcome many shortcomings of private clouds. However, the complete offloading of workflow execution to public clouds may introduce excessive data transfer and privacy/governance concerns. In this thesis, we propose a hybrid cloud solution for workflow scheduling explicitly considering data placement. To this end, we present Hybrid Scheduling for Hybrid Clouds (HSHC), which schedules scientific workflows across private and public clouds incorporating a novel dynamic data placement policy. HSHC consists of two phases: static and dynamic. The former uses an extended genetic algorithm to solve the problem of workflow scheduling with static information of workflows and cloud resources. The latter adjusts scheduling and data placement decisions reflecting changing conditions of workflow execution in the hybrid cloud. We evaluate HSHC with both real-world scientific applications and random workflows in performance and cost. Experimental results demonstrate HSHC’s two-phase approach effectively deals with the dynamic nature of the hybrid cloud.
Employability in higher education: what it is, what it is not

This publication is intended to serve two purposes. First, it makes a case for employability as a set of achievements which constitute a necessary but not sufficient condition for the gaining of employment. Employability is, on the analysis presented here, considerably more complex than some proponents of ‘core’, ‘key’ and ‘transferable’ skills have suggested, and is strongly aligned with the academic valuing of good learning. The second purpose is consequential, in that this publication has considerable implications for curricular activities in higher education. The relationship between higher education and the economy has, for a long time, been a topic of debate, and the historical perspective is outlined in sections two and three. Sections four, five and six discuss the concept of employability, with a preferred definition being put forward in section five. Section seven suggests that, whilst employers might ask for multi-competent graduates, some aspects of employment-related capability can only be developed in the employment context: work placements of various kinds during a higher education program may however make a significant contribution. Sections eight and nine together constitute a challenge to simplistic thinking about skills.
A Multiyear Evaluation of the NaturePalooza Science Festival

We undertook a multiyear evaluation of the NaturePalooza Science Festival, an annual public event designed to increase science literacy and sustainability behavior, to measure impacts. Surveys conducted at the 2014 and 2015 events and 6 months after the 2015 event showed that 77%, 92%, and 100% of respondents, respectively, learned new information. In 2014 and 2015, 85% and 68% of respondents, respectively, intended to change at least one behavior. Additionally, in the 2015 on-site and follow-up surveys, 66% and 62% of respondents, respectively, reported implementing sustainability behaviors. These findings demonstrate that such events can have a positive, measurable impact on visitors' science literacy and sustainability behaviors.
Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects.

A typical analytical lifecycle in data science projects starts with the process of data generation and collection, continues with data preparation and preprocessing and heads towards project specific analytics, visualizations and presentations. In order to ensure high quality trusted analytics, every relevant step of the data-model-result linkage needs to meet certain quality standards that furthermore should be certified by trusted quality gate mechanisms.We propose “blockchain-backed analytics”, a scalable and easy-to-use generic approach to introduce quality gates to data science projects, backed by the immutable records of a blockchain. For that reason, data, models and results are stored as cryptographically hashed fingerprints with mutually linked transactions in a public blockchain database.This approach enables stakeholders of data science projects to track and trace the linkage of data, applied models and modeling results without the need of trust validation of escrow systems or any other third party.