Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the role of Self-Efficacy and Parenting Style of Mothers as Predictors of Anxiety in Preschool Children

Background & Aim: The experiences of the first years of life and the interaction style between mother with the child, specifies the foundation of child's health or illness in adulthood. Parenting styles and self-efficacy of mothers are two important factors that can affect child's anxiety. Therefore, the present study was conducted to determine the role of mother's self-efficacy and parenting style in predicting the anxiety of preschool children (5 and 6 years old) in Mashhad. Methods: Current study is a descriptive correlational study. The statistical population of this study included mothers of preschool children in kindergartens of Mashhad who were selected by random cluster sampling. The sample size in this study was 181 people. Three scales used in this study were self-efficacy of Dumka (PSAM), Baumrind Parenting styles and Spence scale of preschool children anxiety (PAS). SPSS (23) software was used for data analysis. Results: Low self-efficacy of the mother and her authoritarian parenting style can predict child's anxiety. There was a negative and significant correlation between self-efficacy of mothers and child anxiety (P≤0.006, r=-0.2); there was also a negative and significant correlation between mother's self-efficacy and authoritarian parenting style (P≤0.001, r=-0.24); the relationship between child anxiety and authoritarian parenting style was positive and significant (P≤0.001, r=0.23). Conclusion: The obtained results showed that the authoritarian parenting style and low self-efficacy have the ability to predict child's anxiety; therefore, it is suggested to consider modification of parenting style and increasing the self-efficacy of mothers in maternal empowerment programs.
Loved and feared in fortress Europe: Framing the European refugee crisis

Abstract The European refugee crisis is an important topic on media, political, and public agendas. Due to its scope and impact, its continuing prevalence on the media-agenda and the divisiveness of public debate, new research is needed to understand the media’s framing of the issue. This study inductively analyzes framing of the refugee crisis of 2015–2016 by two Dutch newspapers. Portrayal of the refugee crisis consists of ten different frames and counter frames. The frames are communicated on the level of the refugee, on the level of the crisis as an event, and on a societal level. Results show that recent reporting on the refugee crisis is relatively nuanced and portrays the crisis from a variety of perspectives. Framing changes following certain transitory events, but only slight differences were found between popular and quality papers.
Disentangling Volatility from Jumps

Realistic models for financial asset prices used in portfolio choice, option pricing or risk management include both a continuous Brownian and a jump components. This paper studies our ability to distinguish one from the other. I find that, surprisingly, it is possible to perfectly disentangle Brownian noise from jumps. This is true even if, unlike the usual Poisson jumps, the jump process exhibits an infinite number of small jumps in any finite time interval, which ought to be harder to distinguish from Brownian noise, itself made up of many small moves.
Confronting Mandated Curriculum: Being a Transgressive Teacher and Meeting the Needs of Our Urban Learners.

Abstract: Teachers in urban schools often struggle with being micro-managed by administration, especially when vertical alignment and assessment policies are heavily enforced. This study explores a culturally responsive teaching (CRT) approach to mandated curriculum within an urban classroom. By examining the teacher’s use of 19th century British literature, this study illustrates how educators can move beyond superficial cultural additives and be responsive to the needs of their learners. This study offers a unique perspective on a teacher willing to challenge the mandated curriculum by utilizing CRT with British Literature in an urban high school.
Relationships between elite adolescent athletes' perceptions of parental behaviors and their motivational processes: Does sex matter?

This study aimed to: (a) examine the relationships between high-level athletes' perceptions of mothers' and fathers' behaviors, their satisfaction of basic psychological needs, and sport motivation and (b) explore whether the sex of the athlete moderated the aforementioned relationships. A total of 333 adolescent athletes involved in intensive training settings completed the Parental Involvement in Sport Questionnaire (PISQ), the Behavioral Regulation in Sport Questionnaire (BRSQ) and the Basic Need Satisfaction in Sporting Context Scale (BNSSS). Data were examined using correlational analyses and partial least square path modeling (PLS-PM). The PLS-PM revealed that father's perceived pressure positively predicted maladaptive outcomes (controlled forms of motivation and amotivation). Perceptions of the mothers' and fathers' praise and understanding positively predicted adaptive athletes' outcomes (self-determined forms of motivation and satisfaction of competence and relatedness), whereas the mothers' and fathers' perceived pressure negatively predicted such adaptive outcomes. Furthermore, differences regarding the aforementioned relationships between mother's and father's behaviors and athletes' outcomes were highlighted across their sex. More significant relationships emerged for boys versus girls and between athletes' outcomes and the perceived behaviors of the same-sex parents. In particular, the direction of relationships between introjected regulation and two parental behaviors (i.e. perception of father's directive behaviors and perception of mother's pressure) was reversed for boys and girls. As a whole, this study highlighted that both parent's and child's sex should be evaluated to understand sport parenting.
Vector space based augmented structural kinematic feature descriptor for human activity recognition in videos

A vector space based augmented structural kinematic (VSASK) feature descriptor is proposed for human activity recognition. An action descriptor is built by integrating the structural and kinematic properties of the actor using vector space based augmented matrix representation. Using the local or global information separately may not provide sufficient action characteristics. The proposed action descriptor combines both the local (pose) and global (position and velocity) features using augmented matrix schema and thereby increases the robustness of the descriptor. A multiclass support vector machine (SVM) is used to learn each action descriptor for the corresponding activity classification and understanding. The performance of the proposed descriptor is experimentally analyzed using the Weizmann and KTH datasets. The average recognition rate for the Weizmann and KTH datasets is 100% and 99.89%, respectively. The computational time for the proposed descriptor learning is 0.003 seconds, which is an improvement of approximately 1.4% over the existing methods.
New directions for adult and continuing education, no. 93, Spring 2002

'New directions for adult and continuing education', published quarterly, is part of The Jossey-Bass Higher and Adult Education Series. This issue, entitled 'Contemporary viewpoints on teaching adults effectively' brings together the perspectives of nine experts on teaching adults. The chapters are: 'Good teaching: one size fits all? ' by Daniel D. Pratt (p. 5-15) which cautions against a one-size fits all approach to teaching adults; 'Teaching style: where are we now? ' by Joe E. Heimlich and Emmalou Norland (p. 17-25) which reminds the readers that there is no one single approach to teaching and that understanding one's teaching style can serve as a basis for the improvement of instruction; 'The role of the teacher as mentor' by Lois J. Zachary (p. 27-38) which explores the relationship between the roles of mentor and teacher, points out that these two roles are not synonymous and describes key dimensions of effective mentoring; 'Race matters: the unspoken variable in the teaching-learning transaction' by Juanita Johnson-Bailey (p. 39-49) which points to the importance of examining and understanding race as a variable which affects the teaching and learning transaction; 'Teaching all learners as if they are special' by Nancy F. Gadbow (p. 51-61) which considers special learning needs of adult learners and examines effective strategies and technologies that can be employed to meet these special needs; 'Teaching for transformation' by Patricia Cranton (p. 63-71) which provides a brief synopsis of transformative learning theory, seven facets of the transformative learning process as well as teaching strategies designed to promote each of these facets; 'Quantum learning: teaching as dialogue' by Jane Vella (p. 73-83) which examines the relationship between teaching and learning, beginning with a definition of quantum learning and then outlining the dialogue approach to quantum learning; 'Effective teaching of adults: themes and conclusions' by Jovita M. Ross-Gordon (p. 85-91) which integrates information from the previous chapters and discusses the underlying themes and issues related to effective teaching of adults.
THE EFFECT OF USING ANDROID APPLICATION IN TEACHING PRONUNCIATION

The research aim was to know the effect of English Pronunciation: Speak/ Pronounce English™ toward the students’ pronunciation. This study is pre-experimental design. The sample was 35 students from English for Nurse 1 class of STIKes Aisyah Pringsewu. Instrument used to test the competencies is using 126 words from the minimal pairs poem entitled “English is Tough Stuff”. It had progress based on the data that the χ of correct words in pretest, 40.35, it is increasing in post-test, χ 116. It is suggested that the application should be developed into the type that brings various benefit. Keywords: Articulation, Application, Technology
A South African High-Needs School: A Case of Context Driven by History.

High needs schools in South Africa are characterized by student populations living in hazardous environments coupled with extreme poverty and language disparities, resulting in challenges that are interwoven with cultural and societal norms. This paper presents characteristics of leadership that enable student success in school from one high needs, high-performing school in Cape Town, South Africa, utilizing a case study methodology following the International School Leadership Development Network (ISLDN) research protocol. Literature reviewed highlights the context specific to high needs schools in South Africa, including historical context, leadership characteristics, instructional considerations, and implications for school culture. This study utilized a qualitative approach coupled with analysis framed through the High Needs Schools Leadership model. Data were collected from personal interviews with educators including school leaders and assistant school leaders as well as site-based observations, and concurrent archival document analysis, revealing the importance of several key themes: 1) Community Understanding, 2) Value-Based Decision Making, 3) Equity, and 4) Persistence. By considering the findings of this study, system and school leaders can enhance their awareness of factors with the greatest potential to significantly and positively impact educational settings for students in high needs schools.
The Impact of Technology Integration in Teaching Performance

With the implementation of the K to 12 Education program in the Philippines, it necessitates the use of technology in teaching. Technology integration in teaching helps and assists Social Studies teachers to fill the gap and aid the weakness of traditional teaching methods with technology-based teaching and learning tools and facilities. Hence, this research tries to look into a way to understand the impact of technology integration in the teaching performance of Social Studies teachers in public high schools in the Division of City Schools
'A good place to live' : Rethinking residents' place satisfaction and the role of co-creation

Developing a place into ‘a good place to live’ for people of all ages is a prioritized issue in many municipalities in Sweden, as well as around the world. But what do we really mean by ‘a good place to live’? How do the residents themselves comprehend and perceive ‘a good place to live’? And how do municipalities view their place and what they offer to their residents? This thesis explores how ‘a good place to live’ can be understood, conceptualized and studied, and the roles co-creation and the residents themselves play in this context. Taking the resident as a starting point and using the service-based logic as a theoretical foundation, this thesis connects the stream of research within place marketing focusing on co-creation and the users’ role with the stream of research dealing with success measurements and place satisfaction.
Drowsy Driving Among Shift Work Nurses: A Qualitative Data Analysis

Drowsy driving claims many lives every year. While all drivers are susceptible to the problem of drowsy driving, the nurse population is of particular concern. Studies have shown the severity of drowsiness for night shift nurses both at work and on the drive home. Many work and non-work factors contribute to the drowsiness that nurses experience. This study used a semi-structured interview approach to gain the perception and experiences of nurses concerning drowsy driving and possible interventions. Interviews were conducted at a large hospital in south central Texas with 30 night shift nurses. Visualizations depicting nurses’ responses are presented to aid in the understanding of the themes derived from the interviews. The nurses experience drowsy driving on a regular basis, use ineffective mitigation techniques and have differing preferences for an educational and technological intervention for drowsy driving. An emergent theme was how work and non-work factors work in conjunction to impact the nurses’ experiences of drowsy driving. Potential, implementable solutions regarding some of these factors are presented.
Latency Aware and Service Delay with Task Scheduling in Mobile Edge Computing

In a traditional Mobile Cloud Computing (MCC), a stream of data produced by mobile users (MUs) is uploaded to the remote cloud for additional processing throughout the Internet. Though, due to long WAN distance it causes high End to End latency. With the intention of minimize the average response time and key constrained Service Delay (network and cloudlet Delay) for mobile users (MUs), offload their workloads to the geographically distributed cloudlets network, we propose the Multi-layer Latency Aware Workload Assignment Strategy (MLAWAS) to allocate MUs workloads into optimal cloudlets, Simulation results demonstrate that MLAWAS earns the minimum average response time as compared with two other existing strategies.
Rancang Bangun Mesin Pengiris Singkong

The design of the cassava slicer machine has a capacity of 38 kg / hour, this machine is designed to design a cassava slicing machine that has high usability, achieving the required motor power so that the desired engine capacity can be achieved, able to determine the exact method of slicing cassava . The working principle of Cassava Slicing Machine is to work when the electric motor is turned on, then the motor will rotate then the motor rotation is transmitted to the pulley, moving the slicing knife by 0.03653 N / mm2. After the shaft rotates, the disc where the blade will rotate and the cassava is ready for slices and the results of the cassava slices will come out through the output funnel. Cassava slicing machine using 1/2 HP motor with 1400 rpm rotation as its driver, and Framework with L St.37 profile material, type A belt, bearing with UCP205-16 type
SOCIO-CULTURAL DISCOURSE OF MUSLIM SOCIETY IN SOCIAL SEMIOTICS ASPECT OF ADVERTISING TEXT IN MALAYSIA

Purpose: The socio-culture of Muslim society in Malaysia ought to be the main aspect of constructing an advertisement message. However, in developing local media, advertisement contents still do not observe locality of culture and religion such that advertising fails to fulfill the social semiotics of Muslim society. This research analyzes the social semiotics element in advertisement text which constructs the socio-cultural discourse of Muslim society. Methodology: This is qualitative research using content analysis. The research sample was selected using purposive sampling. Discourses as material for analysis are TV adverts for health products. The three advert texts selected as initial research sample in analyzing the discourse and social semiotics are Almas Jus Nusantara, Qu Puteh Million Cell and D’Herbs Losyen Putih Susu. Research data was collected using coding form and analysed using Fairclough Discourse Analysis. Main Findings: Research results find that all three ads are still not clear on the social semiotics of the socio-culture discourse of Muslim society. Analysis proves that the discourse of advertisement text neglects the Islamic Advertising Principle so as to cause erosion of religious and socio-cultural values, while the social semiotics conveyed through the metaphor of women’s and men’s images are irrelevant in terms of the cultural identity of Muslim society. Implications/Applications: Although social semiotics give a good interpretation of a product, the locality aspect of socio-culture is also important to uphold the Islamic values for a Muslim product. Therefore, the preservation of cultural identity in marketing a product needs to be viewed from a wider perspective. In efforts to ensure the audience are aware of competitive products in the market, marketing must be balanced by taking into consideration the Islamic Advertising Principle.
Identifying primary public transit corridors using multi-source big transit data

ABSTRACT Effective public transit planning needs to address realistic travel demands, which can be illustrated by corridors across major residential areas and activity centers. It is vital to identify public transit corridors that contain the most significant transit travel demand patterns. We propose a two-stage approach to discover primary public transit corridors at high spatio-temporal resolutions using massive real-world smart card and bus trajectory data, which manifest rich transit demand patterns over space and time. The first stage was to reconstruct chained trips for individual passengers using multi-source massive public transit data. In the second stage, a shared-flow clustering algorithm was developed to identify public transit corridors based on reconstructed individual transit trips. The proposed approach was evaluated using transit data collected in Shenzhen, China. Experimental results demonstrated that the proposed approach is a practical tool for extracting time-varying corridors for many potential applications, such as transit planning and management.
Growth response of two Nerica rice (Oryza sativa L.) varieties on irrigation scheduling in Mwea irrigation scheme, Kenya

Mwea irrigation scheme presents itself as the most hard-hit with climate change impacts particularly drought; Mwea is endowed with modern irrigation infrastructure for rice production, though the watering practice meant to equitably allow every farm with crops to access water effectively and efficiently. In order for all crops in every farm to benefit equitably from such irrigation, therefore, watering of crops in the farms needs scheduling. In that view, therefore, an experiment was set out at KALRO-Mwea to investigate the effect of irrigation scheduling on growth parameters of two Nerica rice varieties. The experiment was laid out in a Randomized Complete Block Design in split-plot arrangement replicated thrice. It was justifiable to adopt this design for purposes of controlling variation in the experiment taken through taking account of spatial effects in the experimentation. Two rice varieties (Nerica 4 and Nerica 11) formed the main plots and four irrigation schedules (Daily, Every 4 days, Every 5 days and Weekly) formed the sub plots. Results indicated that the treatments significantly influenced plant height, fresh leaf weight, dry leaf weight, chlorophyll content, panicle length and panicle number of the two Nerica varieties at maturity. On the basis of research findings, it is recommended to the farmers in Mwea that the Nerica 4 on every 3 days and weekly irrigation schedules will be the best method to adopt.
Making the Lead: Article and Contextual Correlates of Front-Page Coverage within the Immigration-Crime Debate

Abstract While an abundance of literature demonstrates that immigration is associated with lower rates of crime, public opinion expects the opposite. There remain many reasons for such incongruity, including crystalized political ideologies and structural barriers to assimilation. The current study examines another important dimension: media narratives among the most prominent immigration and crime news articles. Specifically, we explore how news outlets narratively describe or “frame” the link between immigration and crime and, in turn, how such frames influence the prominence of news stories. Using content analysis of over 3,800 articles from 2008 to 2012 geo-located and paired with a host of macro-level data, multi-level models reveal that (1) one-third of local stories describe immigration as crime-increasing; (2) articles that link immigration to rising rates of crime are more likely to appear on the front page of newspapers, as are stories describing immigration’s impact on the justice system or the rights of immigrants within it; and (3) articles published in places with lower rates of crime, higher median household incomes, and smaller foreign-born populations are more likely to feature on the front page. We conclude with implications for ongoing public policy debates and research on immigration and crime.
Mathematics Teaching Anxiety Scale: Construction, Reliability and Validity

This study aimed to develop mathematics teaching anxiety scale for prospective primary school teachers. It was designed based on survey method and conducted with four sampling group consisting of 956 prospective primary school teachers at Education Faculties in Turkey. First sampling group was consisted of 404 prospective primary school teachers and 96 out of it were involved in the application of open-ended questions and 308 were involved in exploratory factor analysis. 305 prospective primary school teachers in the second sampling group participated in the confirmatory factor analysis, 108 prospective teachers in the third group were involved in criterion validity and 139 prospective teachers in the fourth one participated in the test-retest reliability analysis. As a result of the principal component analysis of the Mathematics Teaching Anxiety Scale (MTAS), it was found that the scale indicating single factor structure and consisting of 31 items (47.43% of the total variance). After suggested modifications, the scale MTAS was constructed with 19 items. 12 items were removed from the scale and the confirmatory factor analysis (CFA) was carried out with 19 items. According to CFA results (0≤X2 / df = 1.483≤2, RMSEA = 0.040, RMR = 0.050, AGFI = 0.908, TLI = 0.972, CFI = 0.976, IFI = 0.976, GFI = 0.928, NFI = 0.930 and RFI = 0.919), it was confirmed that the scale structure was consisting of 19 items and one dimension. Cronbach's alpha coefficient of the final form of Mathematics Teaching Anxiety Scale was calculated as 0.93.