Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Canadian and American pre-service teachers’ self-efficacy and knowledge of literacy instruction

ABSTRACT Based on previous work related to pre-service teachers’ self-efficacy for literacy instruction, this study examined their knowledge of literacy instruction and classroom-level contextual factors (i.e. coursework and fieldwork experiences). Pre-service teachers from two distinct contexts (Canada and USA) were given surveys (TSELI and Literacy Instruction Knowledge Scales) at the beginning and end of an elementary literacy methods course. Results indicated a significant difference in pre-service teachers’ total knowledge, and specifically knowledge of reading comprehension instruction from the beginning to the end of the course. As well, there was a relation between pre-service teachers’ knowledge at the end of their course and their literacy-based volunteer experiences. By examining cross-national teacher preparation programmes, we have shed light on pre-service teachers’ literacy knowledge and efficacy beliefs, which may contribute to changes in programmatic curricula.
Scheduling Resources to Multiple Pipelines of One Query in a Main Memory Database Cluster

To fully utilize the resources of a main memory database cluster, we additionally take the independent parallelism into account to parallelize multiple pipelines of one query. However, scheduling resources to multiple pipelines is an intractable problem. Traditional static approaches to this problem may lead to a serious waste of resources and suboptimal execution order of pipelines, because it is hard to predict the actual data distribution and fluctuating workloads at compile time. In response, we propose a dynamic scheduling algorithm, List with Filling and Preemption (LFPS), based on two novel techniques. (1) Adaptive filling improves resource utilization by issuing more extra pipelines to adaptively fill idle resource “holes” during execution. (2) Rank-based preemption strictly guarantees scheduling the pipelines on the critical path first at run time. Interestingly, the latter facilitates the former filling idle “holes” with best efforts to finish multiple pipelines as soon as possible. We implement LFPS in our prototype database system. Under the workloads of TPC-H, experiments show our work improves the finish time of parallelizable pipelines from one query up to 2.5X than a static approach and 2.1X than a serialized execution.
PHCM: A Particle Horizontal Cast Movement Based Model for Bursty Events Detection of Chinese Microblog

Microblog has witnessed an explosive development in the past few years. The research on how to detect bursty events timely and efficiently from large amounts of microblog posts has attracted much attention. The key to bursty events detection is the extraction of bursty features. We reconsider the problem from the standpoint of Kinematics theory and look on bursty events detection as a Kinematics phenomenon instead of considering bursty features separately. A novel model named PHCM (Particle Horizontal Cast Movement) is proposed in this paper. Bursty words describing the particular event tend to appear simultaneously in microblog streams. So we shuffle the bursty words appearance sequence in time scale and sort them in ascending order by frequency. Each bursty word is regarded as a moving particle over the time dimension and the movement can be decomposed into a series of consecutive flat parabolic motions with specific time interval. Then the particle’s vertical velocity and horizontal velocity in each interval are taken to construct the feature vector of its trajectory. Finally, through computing similarity between different trajectory vectors, we can get bursty words clusters with similar trajectories. By retrieving microblog posts containing bursty words in the same cluster, bursty events can be obtained. Experiments show that our model can detect bursty events accurately as well as efficiently.
Care moves people: complex systems and futures signals supporting production and reflection of individual mobile utopias

ABSTRACT Futures of mobility are a pressing concern for cities addressing sustainability and climate change challenges. As cities renew their mobility systems and launch efforts to meet these targets, new sensitive qualitative methodologies are needed. This article discusses a focused mobility diary experiment that was conducted in May 2017 in Turku, Finland and its subarea, with a small set of participants. The goal of this study was to gain insights into potential developments in the city’s mobility systems and practices. This article utilises a multidisciplinary complex systems approach describing how we used the concepts of futures signals and mobile utopias as tools when analysing some prefigurative patterns in individual mobility practices. A key outcome of this methodological experimentation was the interconnections made between two research traditions and a notion of the various ways care underlies, effects, and contours the mobility practices of people–in other words, people are moved by care. This article demonstrates how with the concepts of futures signals, and mobilised utopias, we can reach the important aspirational and prefigurative practices and motivations of people, which permit us to interpret potential futures in particular urban settings characterised by daily life activities.
PENGARUH GAYA HIDUP DAN MOTIVASI HEDONIS TERHADAP PEMBELIAN IMPULSIF PADA STARBUCKS COFFEE

As the times progressed, drinking coffee was not just to get rid of sleep, but part of lifestyle. This happens because the increasingly busy urban communities that require a comfortable place to release fatigue. In addition, there is a hedonic motivation that makes people have the desire, self-existence and self-concept searching. So that lifestyle and hedonic motivation can create impulsive purchases of a product or service. Theories used to support this research are definitions, dimensions and indicators related to lifestyle variables, hedonic motivations and impulsive purchases. The research method used is descriptive method with survey approach and causal-predictive method. This study used questionnaires to collect data of 30 respondents for validity and reliability test. Then, as many as 100 respondents for the average test, scale range, multiple linear regression analysis and classical assumption test with non-probability sampling sampling technique with purposive sampling approach. This data is processed using SPSS 20.0 application. Output generated SPSS 20.0. shows that the value (Sig.) 0.001 0.005 so no significant effect on impulsive purchases. The conclusions of this study indicate that there is sufficient evidence that lifestyle has a significant effect on impulsive purchases and there is not enough evidence that hedonic motivation has a significant effect on impulsive purchases. Keywords : Lifestyle, Hedonic Motivation and Impulsive Buying
Maximizing the Lifetime of Wireless Sensor Networks by Optimal Network Design

The Internet of things (IoT) has been defined in Recommendation ITU-T Y.2060 (06/2012) as a global infrastructure for the information society, enabling advanced services by interconnecting physical and virtual things based on existing and evolving interoperable information and communication technologies [1]. The IoT is the network of physical objects (e.g., goods, products, vehicles, buildings) embedded with electronics, sensors, software, and network connectivity, which enable objects to collect and process data. The IoT allows objects to be sensed and controlled remotely through existing network infrastructure, creating opportunities for tight integration of the physical world into computer and communication systems. Each thing is uniquely identifiable through its embedded devices and is able to interoperate within the existing Internet infrastructure. It is estimated that the IoT will consist of 50 billion objects by 2020 [2] and contribute 19 trillion USD in the global economy [3]. One of the major enabling technologies for the IoT is low-energy wireless sensor networks [4–6]. When IoT is augmented with sensors and actuators, the technology becomes cyber-physical systems, such as smart grids, smart homes, smart cities, and intelligent transportation systems. A wireless sensor network (WSN) consists of spatially distributed autonomous sensors which are able to AU: Please check whether the hierarchy of heading levels is identified appropriately. 13
Mathematics anxiety among pre-service accounting teachers

Pre-service accounting teachers perform a variety of calculations in accounting courses, for example, they calculate and compare company financial ratios, calculate dividends, interests, and variances. Mathematics is thus a crucial tool for performing accounting calculations. This paper reports on a study designed in order to investigate pre-service accounting teachers’ mathematics anxiety with respect to accounting. The Fennema-Sherman Mathematics Anxiety Scale (F-SMAS), with established reliability and validity, was applied. A cross-sectional data set containing demographic details and attitudes towards mathematics anxiety was collected and quantitative responses of 255 first-, second-, and third-year pre-service teachers were analysed. In addition, semi-structured interviews with 18 pre-service accounting teachers, 6 from each level, were conducted. A sequential explanatory mixed methods design was employed. Data was analysed using the Statistical Package for Social Sciences for quantitative data, and semi-structured interviews were transcribed and analysed qualitatively. The study revealed that the Fennema-Sherman Mathematics Anxiety Scale score is slightly above neutral. Qualitative results reveal that even mathematically competent students are not free from mathematics anxiety. Based on these findings it was concluded that mathematics anxiety affects and influences the way students learn and perform accounting calculations. Keywords: accounting; accounting calculations; mathematics anxiety; pre-service accounting teachers
Influence of 2D Shape on Contour Depth Perception

Results: Depth discrimination was most accurate when the 2D contour shape was consistent with the 3D depth information. Some subjects were more affected by inconsistent monocular shape cues than others. Methods:  8 subjects, 47 objects  Three contour conditions: original contour, shifted contour, circle  Two points marked on contour, corresponding to minimum and maximum depth on rim  Task: Estimate depth between points using a slider  Binocular presentation, unlimited response time, no feedback
Prospective Teachers' Views on Beauty Criteria

Art is one of the most powerful ways of expressing an individual's internal state, expectations and needs with an aesthetic attitude. Different materials can be used during the expression process including colour, line, sound, movement, word, object and so on. Although the materials used in these branches of art are different from each other, the path followed in the application process and the final results are the same “to reveal an aesthetic product”. In order for an artistic practice to mature and reach the beautiful one, the practitioner must have the art education discipline and acquire certain knowledge, skills and understanding of the art field concerned. The art of painting, which is one of the plastic arts, provides the ability to search for beauty through lines and colours on two dimensional surfaces, to create compositions and express the individual's self with this composition, also has its own beauty value criteria. From this point of view, it was aimed to determine the opinions of the prospective teachers studying in the Department of Painting Education in the study about the beauty criteria that should be in the picture. In this study, survey method which is one of the quantitative research methods was preferred. As a data collection tool, a five - point Likert - type scale was developed by the researchers, and 25 items were used. 110 prospective teachers from various grades participated in the study. The results of the research showed that the prospective teachers greatly contributed to the beauty criteria that should be in the picture.
Investigation of the Relationship Between Dispositional Flow State, Sensation Seeking and Ski Resort Preference of Skiing and Snowboarding Participants

The aim of this study is to investigate the relationship between was to examine dispositional flow state, sensation seeking and ski resort preference of skiing and snowboarding participants. The sample of this study constituted 510 (126 female x̄ = 23.94 ± 5.79 years; 384 male x̄ = 27.33 ± 7.87 years) skiers and snowboarders from varied ski resort between the years 2018–2019. A demographic questionnaire, The Contextual Sensation Seeking Questionnaire for Skiing and Snowboarding (CSSQ-S) Ski Resort Preference Scale (SRPS) and Dispositional Flow Scale-2—Short Form (DFS2-SF) were used to collect data. Before the statistical analysis, coefficient of kurtosis, coefficient of skewness and test of normality (Kolmogorov-Smirnov Test) of the data were examined and the deviation from the normal distribution was determined meaningless (p > .05). Pearson Product-Moment Correlation Coefficient was used to determine the relationship between variables. The mediator effect of sensation seeking in the relationship between ski resort preference and flow of participants were examined with Structural Equation Modeling (SEM). The correlation value between the variables was determined between 0.196–0.549. (P < 0.01). There is causal relationship between; SRPS and DFS2-SF (β = .187, p < .01), SRPS and CSSQ-S (β = .932, p < .01), CSSQ-S and DFS2-SF (β = .581, p < .01) respectively. It was found that when SRPS variable was included in the model as a mediating variable, causal relationship between SRPS and DFS2-SF was eliminated (β = 7.067, p > .05) and causal relationship between CSSQ-S and DFS2-SF was significantly increased (β = .722, p < .01). When the fit indexes of the models were examined, all values in all four models indicated acceptable/perfect fit. The results show that ski resort preference has a significant causal relationship on flow state and sensation seeking in skier and snowboarders. However, when sensation seeking is included in the model as a mediating factor, effect of the ski resort preference on the flow state disappears, while the effect level of sensation seeking increases.
The Moderating Role of Teamwork Effectiveness in the Relationship Between Work Engagement and Behavioral Outcomes

This study was an attempt to verify and test a commonly held assumption that low level of employee work engagement may lead to a deviant behavior, absenteeism and high turnover intentions. For this purpose, in the current research work 246 individuals from banking sectors of Pakistan were selected through stratified random sampling technique. The responses of the respondents were measured through a structured questionnaire having a five-point Likert scale. A negative significant relationship was found between employee work engagement and behavioral outcomes. A negative significant relationship was also found between employee work engagement and turnover intention. Similarly, the study found a significant negative association between work engagement and deviant behavior. Also, a negative significant relation was found between work engagement and absenteeism. The results suggest that team work effectiveness moderates the relationship between work engagement and behavioral outcomes. Implication for theory and future research direction was also highlighted.
Urban Sufi and politics in contemporary Indonesia: the role of dhikr associations in the anti-‘Ahok’ rallies

ABSTRACT Huge rallies organized by Islamists at the end of 2016 in Jakarta attracted scholarly debate, with some arguing that the influence of Islamists is rising. However, members of those Islamist groups are still a minority in Indonesia. Examination of Islamist groups alone hardly explains why so many middle-class individuals outside these organizations supported and took part in the rallies. This article argues that the Islamist leaders of rallies intentionally created a dhikr assembly-like atmosphere to attract dhikr followers and other ordinary Muslims to take part. I then scrutinize the response of Majelis Rasululluah (The Prophet’s Assembly, MR), one of the biggest Sufi dhikr litany associations in Jakarta. The MR leadership gave in to the overwhelming demand from its followers who wished to take part in such activities, called the political rally a ‘dhikr event’ and announced its permission to participate. Although relationships between Islamists and Sufis have been conventionally understood as antagonistic, this Indonesian case demonstrates that their temporary alliance can be possible.
Contribution of Beef, Mutton, and Poultry Meat Production to the Agricultural Gross Domestic Product of Pakistan Using an Autoregressive Distributed Lag Bounds Testing Approach

Meat is considered an important nutrient of human’s life to gain energy. It accounts as a significant portion of the typical diet in the globe and provides vitamins, minerals, protein, and fats, which are important and have a beneficial effect on the well-being. The major aim of this article is to investigate and explore the association between beef, mutton, poultry meat production, and agricultural gross domestic product in Pakistan. An Augmented Dickey–Fuller unit root test was applied to check the variables’ stationarity, while an autoregressive distributed lag (ARDL) bounds testing approach to cointegration was used to investigate the association among the study variables. Furthermore, a forecasting technique was used to project the future production of beef, mutton, and poultry meat in Pakistan. Study results demonstrated the long-standing associations amid the variables. In the long-run analysis, the coefficient of beef production showed a positive effect on the agricultural gross domestic product, while the coefficients of mutton production and poultry meat production showed a nonsignificant association with the agricultural gross domestic product of Pakistan. By applying the ARDL bounds testing approach to cointegration that examines the association between agricultural gross domestic product, beef, mutton, and poultry meat production in Pakistan makes the present study distinctive.
Energy-Aware Sensor Selection and Scheduling in Wireless Sensor Networks* *Supported in part by OOF991-KAUST US LIMITED under award number 025478, and the UC Discovery Grant ele07-10283 under the IMPACT program.

Abstract This paper is concerned with system level energy management in wireless sensor networks. The network is required to conduct certain tasks which require information from individual sensors to be sent to a base station. Sensors cease functioning when they deplete their energy reserves or may fail abruptly due to random malfunctions. Sensor selection refers to the number of times sensors are interrogated, while sensor scheduling refers to the sequence in which these interrogations are conducted. A sensor management layer that isolates the system objectives from selection/scheduling is proposed. It is shown that sensor selection reduces to integer linear programming. Sensor scheduling is necessary when random sensor failures are considered or when the task definition is not stationary. Some general principles emerge. If all sensors are equally reliable, the optimal policy is to use the most energetic sensors first. If all sensors are equally energetic, the optimal policy is to use the least reliable sensor first.
How do social norms affect customers’ food selections at restaurants? Investigating social norms misalignment using polynomial regression with response surface analysis

ABSTRACT This study investigated the effects of perceived social norms on customers’ intentions to choose healthy menu items at restaurants. Specifically, injunctive norms and descriptive norms were examined, and the effects of misalignment of these social norms were explored on those intentions. To remedy problems associated with a more traditional analytical technique often used in misalignment studies, polynomial regression with response surface analysis was employed. Results revealed that when people perceived that most others eat healthy and approve of healthy eating, they were more likely to have intentions to choose healthy menu items. However, the conflict between perceived injunctive and descriptive norms weakened such intentions. This study expanded the literature on the role of social norms in changing behavioral intentions by investigating the roles of these two social norms, as well as the conflict between the two norms related to choosing healthy menu items by employing a new analytical technique.
Retaining and Advancing Underrepresented Women in Technology: Insights from ITSMF EMERGE Survey and Focus Group

Aim/Purpose: In this study, we explore the applicability of the social identity theory and the evolution of an initiative to address the issue of ensuring that women of color not only survive in the technology industry, but that they thrive in every aspect of leadership, including reaching the top senior executive levels (C-Suite) in their organizations. Background: Despite all the evidence that diverse teams/workforces lead to higher revenues, greater innovation and enhanced creativity, white men still dominate the technology industry. Methodology: This paper will provide insights gained from a Senior Capstone Project in which North Carolina Central University (NCCU) Computer Information Systems majors and faculty partnered with the Information Technology Senior Management Forum (ITSMF) and Accenture to develop, deploy and analyze a survey and focus group results that identify, quantify and qualify the barriers, nuances and accelerators of Women of Color in technology. Contribution: This study provides research on a population that has previously not received sufficient focus. While there are studies that have been conducted recently, this is one of the few studies that has been conducted to focus specifically on Women of Color in the technology industry. Findings: The surveys uncovered several possible reasons why there may not be more Women of Color in high positions. Recommendations for Researchers : More studies should be done to address the issues of attrition and lack of women and minorities at the C-Suite in the technology industry, as well as in other STEM industries.
Exploring the Identity Negotiation of East Asian Graduate Teaching Assistants: A Case Study of Academic Identity, Social Identity and Teacher Identity.

The Council of Graduate Schools received 749,000 graduate applications by international students in Fall 2018.Though the Open Doors (2018) reported international graduate students at the US institutions decreased by 2.1% from last year, the number of students studying at the graduate level remains high. To any graduate students, receiving funding from the institution studied is crucial for their academic study. It is difficult to secure funding for international graduate students than their domestic counterparts. Many international graduate students choose to teach their native languages in US institutions. This dissertation of case studies explores the experience that three East Asian international Graduate Teaching Assistants (GTAs) encountered at a midwestern teaching and research institution in the US The study exposed the perceptions, difficulties and challenges, and future career choices that constructed the learning, social and teaching experiences of these three East Asian international GTAs. Data were collected through in-depth individual semi-structured interviews, informal chats, and the analysis of relevant documents. Essential themes were generated on academic identity, social identity and teacher identity of the participants; the challenges in each identity category were discussed, and implications were provided for graduate programs.