Miracle-dz/UniFAR-FTUs huggingface dataset:
Behavioral Intentions of Different Genders of Different Religions: Purchasing Halal Logo Products at Convenience Stores in Hatyai

Producers are investing to produce halal products. The halal product demand and importance has increased in recent years. The focus of the research, identifying behavioral intentions of different genders of different religions in respect of purchasing products bearing the halal logo at convenience stores in Hatyai. For collecting data 7-Eleven store chain was targeted. Theory of reasoned action (TRA) model was utilized as a conceptual model. Response collected through a structured survey instrument, using the convenience sampling technique. Total of 215 respondents submitted a response, among them 92.8% local and 8.2% international respondents. A purposive sampling technique used in the underlying study to select the location for data collection. Data was collected from the local residents, who are living in Hatyai city and purchase items at 7-Eleven stores. The findings indicate for the Muslims halal logo is important. Gender wise 93 % Muslim male’s and 93.7 % Muslim females have a positive attitude towards the halal logo products, as compare to Muslims 76.09 % non-Muslim males and 73.55 % non-Muslim females have a positive attitude towards halal logo products. The influence of subjective norms is stronger in different aspects on different genders of different religions due to their families and their cultures, findings indicate 87.5 % Muslim males and 94.25% Muslim females were influenced by their subjective norms. On the other side, 63.04 % non-Muslim males and 73.48 % of females were influenced by their subjective norms. Intentions of 87.50 % Muslim males and 88.51 % Muslim females were found positive, as compared to Muslims 37.68 % non-Muslim males and 41.22 % non-Muslim female’s intentions were found positive. Overall results indicate the halal logo among different genders of different religions is more important among females as compared to males.
Visibility and vulnerability: A mixed methodology approach to studying Roma individuals’ victimization experiences

The present study examines the prevalence and impact of victimization among a sample of Roma individuals in Malmö and Gothenburg (Sweden). The aim of the study was to examine the link between visibility and victimization, and whether the Roma community employs behavioural strategies to reduce visibility, and, finally, to analyse how such strategies affect the group. The study design combines survey data (n=610) with interviews (n=30). The findings suggest that visibility is an important risk factor for victimization and that the study participants’ attempt to conceal their ethnicity affects them negatively both at an individual and a community level. The discussion concludes by presenting a number of policy implications.
An investigation of possible differences between bullied and non-bullied adolescents in a clinic group : and research portfolio

This paper discusses and illustrates the use of cognitive therapy with adolescents. It highlights the importance of early intervention in preventing ongoing problem functioning into adulthood. It also demonstrates the possibility of working with young adults to target their core belief system. The case presented is of a young woman experiencing low and anxious mood due to current triggers and a difficult early childhood. Cognitive therapy was found to be effective in her treatment. In summary, many of the cognitive therapy techniques developed for adults can be applied with adolescents. However, adolescents have a variety of special problems which leads to unique differences associated with their treatment.
President or Predator? The Social Construction of Donald Trump in a Divided America

ABSTRACT During the presidential election, numerous women accused Donald Trump of sexual harassment and/or assault. Then a presidential candidate, he denied these complaints and said the women were all untruthful – a position he has continued to espouse. To explore “who the public believes,” we commissioned YouGov to conduct an opt-in online survey of a national sample of 1,000 Americans. Notably, half of Americans (51.0%) believed that “the women are telling the truth when they reported that Mr. Trump sexually harassed or assaulted them” versus 23.1% who sided with the president. Nearly two-thirds (64.9%) stated that it was unlikely that all the women were lying, and 3 in 5 Americans (60.5%) supported President Trump’s impeachment by the U.S. Congress if these accusations could be proven. Informed by research on political psychology (especially Haidt’s The Righteous Mind), the data are explored to see why Americans embrace divergent moral narratives – with some seeing Mr. Trump as a truthful president and others seeing him as a predator unworthy of the office he holds.
Between Recognition and Mis/Nonrecognition: Strategies of Negotiating and Performing Identities Among White Muslims in the United Kingdom

This article explores white British Muslim experiences of, and strategic performative responses to, the (mis/non)recognition of their seemingly incompatible religious and ethnic identities. Based on in‐depth interviews (N = 26), it highlights how the different identity categories they hold relate to one another, influencing processes of perceived recognition in interactional contexts. White British Muslims perceive their ethnic and religious identities to be (mis/not) recognised in complex and contradictory ways. Their identities are affirmed, denied, erased, and/or incorrectly ascribed, sometimes simultaneously, by relevant others in different contexts. Performative strategies such as the adoption, maintenance, or removal of identity markers are used consciously and agentically in attempts to take back control over how their identities are (mis/not) recognised. At times deliberate performative acts leading to misrecognition are orchestrated by white Muslims themselves to not only minimise the risk of experiencing possible harm or marginalisation but also to transgress and challenge norms. They also assert their multiple identities as a response to (mis/non)recognition and claims of their identities being incompatible, regardless of the repercussions that may result in them being placed at the margins of, or excluded from, their ingroups.
Teachers’ Views with Regard to New Primary School Curriculum

What do the new primary curricula which were put into effect practice at the 2005-2006 academic year imply for teachers? This is the main quest for this article and it was aimed to analyze teachers’ views in relation to constructivist curricula. A total of 2600 primary school teachers working in primary schools in the city of Afyonkarahisar and in the villages that belong to the city were chosen as the study population for this research. When ‘teachers’ profession rank’ variable is taken into account, item 16 in the research instrument proved to be 0,05 meaningful between those who have 21 and above years of teaching career and those who have 1-10 years. When the same variable considered, it was also found that there was a 0,05 meaningful differentiation with respect to item 19 between those who have 1-10 years of teaching career and those of 11-20 years. In consideration of the place in which teaching profession is carried out’ variable; items 1, 6, 7, 16, and 18 differed to be 0,05 meaningful between urban and rural teachers.
DEVELOPMENT AND VALIDATION OF STUDENTS STRESS DIMENSION QUESTIONNAIRE (SSDQ)

This article describes the process of development and standardization of the Students Stress Dimension Questionnaire (SSDQ) for Assessing Stress on a sample of 510 University Students of different faculties aged 18 to 35. Initially a 100-item scale was prepared based on '0' “1” and '2' format (where 0=never, 1=sometimes, 2=very often or frequently). In the testing process, 7 questions i.e q50,q53, q55, q56, q63,q64,q65 were found to be non-significant on t-test for equality of means(p-value >0.05) and were dropped leaving 93 items to form the final form of the SSDQ. Further, it was found to have high split-half reliability and adequate internal consistency (Chronbachs alpha 0.865) KeywORds Stress, Students, Questionnaire, t-test, Assessment
A Dead Reckoning Method Based on Neural Network Optimized Kalman Filter

Inertial Measurement Unit (IMU) plays a key role in real-time trajectory estimation. The commonly used low-cost IMU is affected by the deviation and noise, and when the acceleration is double integrated to obtain the displacement, the error will increase indefinitely. Traditional state estimation methods rely on an accurate system model, and the estimation accuracy of low-cost IMU is low. In the motion system, the main reason that affects the model accuracy and estimation accuracy is the fluctuation of lateral and vertical velocities. Firstly, this paper uses a convolutional neural network to learn the relationship between sensor data and lateral and vertical velocities and their variances and constructs a noise adapter to obtain pseudo-measured values and variances. Secondly, the weights of the adapter output and the state estimation value are distributed in the Kalman filter, and the variance of the adapter output is used as the measurement covariance to update the Kalman gain, to obtain the optimal estimation value. Finally, according to the estimated speed value and the initial position, the attitude and position are calculated. Training and verification on the KITTI data set have achieved good results.
The use of social tagging in academic libraries : an investigation of bilingual students

i Abstract This research investigates the use of social tagging systems in facilitating access to academic libraries. Social tagging allows users to assign free-text keywords, or ‘tags’, to describe information items. Users’ tags are usually employed to provide a flexible way to access, manage, and share information. This research is a usercentred study focusing on bilingual students (Arabic/English speakers) to explore the use of social tagging in academic library catalogues. Several aspects are examined regarding library catalogue usage, language skills and preferences in tagging and searching; students tagging behaviour; and the potential use of social tagging functionalities in academic libraries. The participants in this research were students and librarians from Kuwait University, the Gulf University for Science and Technology in Kuwait; and the University of Sheffield (UK). A mixed-methods approach was adopted, which included: a comparative analysis of 11 existing social tagging systems; a survey involving 241 students; an interactive tagging experiment involving 46 students; and semi-structured interviews with 10 librarians. Methods were employed in two phases and results were analysed using quantitative methods and qualitative thematic analysis. The key contributions to this research include developing a descriptive model of bilingual (Arabic-English) students’ tagging behaviour. This captures interactions between users, resources and tag, and highlighting the influencing factors on the creation of tags. This includes cognitive, text/content and tag language choice influences. In addition, the research has established five main categories of social tagging functions: posting, searching, browsing, managing and sharing. The categories were linked to the SCONUL Seven Pillars of Information Literacy (IL) that were explored and evaluated to provide a framework of social tagging and information literacy that situate the prospective use of social tagging and it support to IL practices within academic libraries. The findings of this research confirm that students and librarians are interested in using social tagging within the library catalogue and perceive tags in multiple languages to be appropriate as a way of supporting information discovery. The
Research on the Quantitative Trading Strategy Based on Bollinger Band Strategy and Polynomial Regression Model

First, this paper made time-price line charts for gold and bitcoin and analyzed their primary trend of flat-rising. Subsequently, we established the Bollinger Bands strategy and a regression polynomial combinatorial model in Python to make the trade points precise. We import gold and bitcoin data into the model, respectively, and let it automatically perform graphing and data processing to obtain the fitting images, optimal fitting times, model coefficient list, and model intercept of the gold and bitcoin PR models. Afterward, we determined the trading conditions, stop-loss levels, and commissions and used the Bollinger Bands strategy to backtest the five-year trading to obtain the trading results of a single strategy. Based on the conservative principle of risk hedging and split-position trading, we reset the position distribution combined the Bollinger Bands strategy and the regression polynomial combination model into a comprehensive model. This paper plotted the fluctuations of gold and bitcoin in the time dimension. The comprehensive model shows the characteristics of high total return, low total transaction cost, and small maximum drawdown, which proves that the comprehensive model provides the best strategy.
An Assessment of Decision-making by Adolescents in a Community-based Youth Program

An This exploratory research compares the decision-making skills between youth board members and youth non-board members within the context of a community-based youth group. The goal was to determine whether youth board members were more advanced in their decision-making skills than youth non-board members and were these skills utilized in other area of life. The research design is both quantitative and qualitative: the survey had twelve questions and the interview had six open-ended questions. Twenty adolescents answered the written survey and, of these twenty, there were ten adolescents who were interviewed. The survey questions covered the areas of future work, ideology, and sexual/social expression. It was found that the older adolescent board members had a greater skill for decision-making while the younger adolescent who were non-members were the least developed in their decision-making process. This exploratory research supports the concept that community-based youth groups can enhance adolescents' capacity to develop skills for making decisions when the adolescent serves as a board member.
Toward a Model of Team Decision Making Under Stress

Today’s organizations are increasingly relying on teams, rather than individuals, to complete tasks in the workplace. For some teams, these tasks require them to make high stakes decisions under stressful conditions. In military, medical, and emergency response fields, for example, workers are regularly asked to make decisions under high time pressure, uncertainty, and risk. The purpose of this study is to summarize previous team decision-making perspectives and create a model for team decision-making under stress. A literature review was conducted to examine the current state of team decision-making research. Several existing models of the team decision-making process were identified, representing multiple decision-making perspectives. Using this information, four primary characteristics of the team decision making process were identified. Team decision making appears to be multi-level, multi-phasic, dynamic, and cyclical process. An additional search examined the effects of stress on performance. Using this information and the characteristics outlined from the team decision making literature, a model was designed to describe the effects of stress on team decision making. This model offers several propositions regarding the effects of stress on specific cognitive and team processes and their relationship team decision making This study provides the theoretical basis for an empirical investigation of the relationship between stress and team decision making. This line of research has the potential to lead to practical solutions that may improve outcomes for workers in high stress occupations.
LIMITED INFORMATION AND ADVERTISING IN THE U.S. PERSONAL COMPUTER INDUSTRY

Traditional discrete-choice models assume buyers are aware of all products for sale. In markets where products change rapidly, the full information assumption is untenable. I present a discrete-choice model of limited consumer information, where advertising influences the set of products from which consumers choose to purchase. I apply the model to the U.S. personal computer market where top firms spend over $2 billion annually on advertising. I find estimated markups of 19% over production costs, where top firms advertise more than average and earn higher than average markups. High markups are explained to a large extent by informational asymmetries across consumers, where full information models predict markups of one-fourth the magnitude. I find that estimated product demand curves are biased toward being too elastic under traditional models. I show how to use data on media exposure to improve estimated price elasticities in the absence of micro ad data. Copyright 2008 The Econometric Society.
Emotion centered design: Affect, think, and act

User interaction (UI) designs often cannot adapt to changes in user contextual conditions. While users usually expect UI designs to change based on changes in the conditions of external contexts, most current UI designs propose only a single design rule for all user actions in their context. Users must either accept the suggested action or modify their actions to adapt themselves to a new design-based condition. Each alteration may cause changes in the structure of human activity. This study proposes an emotion-centered design method that enables designs to adapt to a user’s contextual conditions. Changes in contextual conditions often cause users to experience different emotional states, and, the proposed design method chooses among most likely UI designs based on identified user emotional states. The emotion-centered design method is applicable to a wide variety of different human-computer interaction fields, including mobile and wearable computing, contextual computing, the Internet of things, affective computing, personal computing, etc. The design method is implemented through user verbal interaction design methodology. Two user studies were run: In user study one, 19 participants viewed 14 examples of TV content, while in user study two, 27 participants interacted with 9 examples of multimedia content. Users then created text messages and reported their emotional states using mobile applications. Performances of Bayesian networking classifiers, used for detecting users’ affective states, were evaluated using two methods: 10-fold cross validation and leave-one-person-out. These two test studies achieved emotion recognition results approximately 80% of the time. These results show that learning classifiers can detect user emotional states in users’ present contexts. Two learning classifiers were also tested with user behavior features obtained from each other’s studies. Comparison studies demonstrated
Tourism Crises: Causes, Consequences and Management

Chapter One: Introduction Chapter Two: Economic Tourism Crises Chapter Three: Political Tourism Crises Chapter Four: Terrorism and Tourism Chapter Five: Socio-Cultural Conflicts and Tourism Chapter Six: Environmental Tourism Crises Chapter Seven: Tourism and Health Crises Chapter Eight: Technological Failure and Tourism Chapter Nine: Commercial Crises Chapter Ten: Crisis, Tourism and Tourism Crisis Management
Daily Production Intelligent Prediction Model of Single Well in SHB Oilfield Based on Support Vector Machine

Aiming at the reservoir with natural fractures in SHB oil and gas field, the support vector machine (SVM) and support vector regression method were used to predict the daily production of 18 blow wells in SHB main fault zone. By inputting variables include drilling and completion data, production dynamics, bottomhole pressure, and off-well production time, and taking the predicted output value as output variables, the daily production forecast data of a single well ranging from 120 days to 1200 days was obtained. Compared with the traditional Arps decline prediction method for 100 days of actual production data, SVM is not only more efficient than the traditional DCA analysis method, but also avoids geological modeling and a lot of historical fitting work. It has certain reference value to the formulation of reasonable production system in SHB block.
INFLUENCE OF LUMBOPELVIC STABILITY ON DEADLIFT PERFORMANCE IN COMPETITIVE POWERLIFTERS

The deadlift exposes the spine to extreme loads and requires adequate lumbopelvic (core) stability. Deadlift performance may be influenced by the neuromuscular control of the trunk. In this study, we aimed to compare the transversus abdominis contractile rates in an elite powerlifter with those of a control group during deadlift and estimate the relationships between core stability and deadlift performance. In the present controlled laboratory study, 16 powerlifters [8 male national-level powerlifters and 8 male regional-level powerlifters (control group)] were tested for changes in transversus abdominis thickness to evaluate transversus abdominis contractility at each deadlift phase using ultrasound imaging. Compared with the control group, the elite powerlifters showed a higher transversus abdominis contractile rate when the weight was at knee level (2.16 vs. 1.74; p = .04). There were no significant differences between the transversus abdominis contractile rates in both groups when the weight was at the floor and top level. This study reveals that deadlift performance may be influenced by transversus abdominis contractility (lumbopelvic stability).
Practitioner Experiences in Teacher Education Partnerships: Examining Practice in an Accredited Professional Development School

In this qualitative study, practitioner researchers used focus group methodology to collect clinical partnership stakeholders’ descriptions of their understanding of rich practitioner practice and the benefits of clinical partnerships as defined by CAEP Standard 2. These descriptions provided the data that was analyzed through a deductive and inductive coding process. It was found that stakeholders described clinical experiences as crucial to teacher candidates’ development of knowledge, skills, and professional dispositions, and identified clinical experiences as the space where theory and practice intersect. Findings also showed that stakeholders identified collaboration, mutually beneficial, sustaining and generative, shared accountability, and positive impact as the key components in a clinical partnership.