Miracle-dz/UniFAR-FTUs huggingface dataset:
The Short ASSIST Scales: Measurement Properties in a Sample of Occupational Therapy Students in the USA

Shortening measurement scales can improve the scales’ feasibility, but at the same time, their measurement properties can be affected. This study investigated psychometric properties of the short Approaches and Study Skills Inventory for Students (ASSIST) among occupational therapy students in the United States. The students (n = 120) completed the ASSIST and provided basic socio-demographic and education-related information. Scale structure was examined with Principal Components Analysis (PCA), while consistency between scale items was assessed with Cronbach’s α and inter-item correlations. Three factors were confirmed, but three items showed poor or ambiguous fit with the proposed scales. These items were subsequently removed from the scales, resulting in improved fit with the expected three-factor solution. Cronbach’s α for the amended scales ranged from 0.55-0.70 (mean inter-item correlation 0.20-0.34). In conclusion, the amended short ASSIST scales showed satisfactory psychometric properties for assessing study approaches in the sample. Given the variability in psychometric properties found for the short ASSIST scales across studies, the properties of the instrument should preferably be checked before using the scales with new populations.
Fundamentals Of Guidance And Counselling

Thank you very much for downloading fundamentals of guidance and counselling. As you may know, people have search hundreds times for their chosen novels like this fundamentals of guidance and counselling, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some harmful virus inside their computer. fundamentals of guidance and counselling is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the fundamentals of guidance and counselling is universally compatible with any devices to read.
Inequality talk: How discourses by senior men reinforce exclusions from creative occupations

Cultural Studies has drawn attention to the way that cultural and creative industries are marked by significant inequalities. This article explores how these inequalities are maintained, through fieldwork with senior men making decisions in cultural and creative industries. Drawing on 32 interviews with senior men across a range of cultural and creative industry occupations, conducted as part of a larger (N = 237) project, the analysis shows that misrecognition and outright rejection of inequalities are now not the norm. Rather, ‘inequality talk’ and the recognition of structural barriers for marginalised groups is a dominant discourse. However, individual careers are still explained by gentlemanly tropes and the idea of luck, rather than by reference to structural inequalities. The distance between the discourse of career luck and ‘inequality talk’ helps to explain the persistence of exclusions from the workforce for those who are not white, middle class origin, men. This has important implications for inequalities in cultural production and consumption, and in turn for wider social inequality.
Comparing the Spatial and Temporal Activity Patterns between Snapchat, Twitter and Flickr in Florida

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely Flickr, Twitter and Snapchat, over a six-week period in Florida. For the comparison of spatial contribution patterns, a set of negative binomial regression models are estimated to identify which socio-economic factors and characteristics of the built and natural environments are associated with contribution activities. The contribution differences observed are discussed in light of the targeted user groups and different purposes of the three platforms.
Thinking working scaffolding sharing model to improve natural science competencies for biology pre-service teachers

Competencies of nowadays biology pre-service teacher is an important key for the future education quality. This article aimed to discuss the effectiveness of Thinking Working Scaffolding Sharing (TWSS) model implementaton in Departement of Biology UM. This quantitative descriptive study used learning outcomes (professional and pedagogical competencies), attitudes, and group activity of biology pre-service teacher as determinant factors of the TWSS model effectiveness. The instrument to collect the data for those parameters were product assessment and observation sheet. Universitas Negeri Malang assessment guideline was utilized to determine the pre-service teachers’ competencies; meanwhile, the percentage calculation was employed as the data analysis procedure to proceed the data. The results informed: 1) the mean values of learning outcomes for professional and pedagogical competencies were 94 and 74, respectively; 2) 92% of students showed individual responsibility in completing their tasks (in which 46% was categorized as ‘excellent’ and the other 46% was considered as ‘good’); 3) 85% of students performed excellent attitude in their group work. Therefore, the implementation of TWSS model is effective to improve natural science competencies for biology pre-service teacher.
A New, Deep JVLA Radio Survey of M33

We have performed new 1.4 and 5 GHz observations of the Local Group galaxy M33 with the Jansky Very Large Array. Our survey has a limiting sensitivity of 20 μJy (4σ) and a resolution of 5. ″9 (FWHM), corresponding to a spatial resolution of 24 pc at 817 kpc. Using a new multiresolution algorithm, we have created a catalog of 2875 sources, including 675 with well-determined spectral indices. We detect sources at the position of 319 of the X-ray sources in the Tüllmann et al. Chandra survey of M33, the majority of which are likely to be background galaxies. The radio source coincident with M33 X-8, the nuclear source, appears to be extended. Along with numerous H ii regions or portions of H ii region complexes, we detect 155 of the 217 optical supernova remnants (SNRs) included in the lists of Long et al. and Lee & Lee, making this by far the largest sample of remnants at known distances with multiwavelength coverage. The remnants show a large dispersion in the ratio of radio to X-ray luminosity at a given diameter, a result that challenges the current generation of models for synchrotron radiation evolution in SNRs.
Assessment: A Suggested Strategy for Learning Chemical Equilibrium

Chemical equilibrium is listed as one of the most complicated concepts to learn, and the origin of this phenomenon is attributed to misconceptions, teaching-related problems, and the use of inappropriate didactic approaches. At the same time, assessment is a crucial fragment of educational activities although its relevance as a learning strategy is underestimated. For that reason, we designed and applied unique assessment approaches related to chemical equilibrium to 33 high school students at Colegio Mayor de San Bartolome (Bogotá, Colombia). The results suggested that assessment instruments focused on the identified misconceptions might reduce the impact (of the misconceptions), and students were able to build concepts related to chemical equilibrium whilst they were being assessed. Problems associated with forward and reverse reactions, differences between initial and equilibrium concentrations, and the indiscriminate use of Le Chatelier’s principle were approached by students and significant improvement was achieved through the assessment. Changes associated with assessment perceptions were accomplished and the proposed strategy suggests that it is plausible to learn during the assessment moment.
The Healthy Learning Organizations Model: Lessons Learned From the Canadian Federal Public Service

This study evaluates the predictive validity of the Healthy Learning Organizations (HLO) model in explaining mental health and organizational commitment among executives from the public sector. Data were derived from a cross-sectional sample of executives from the Canadian federal public service (N = 1,601). Latent class analyses (LCA) assessed whether (a) associative patterns in executives’ psychosocial work environment and organizational learning process expressed a typology of healthy and learning organizations; and (b) executives’ mental health and organizational commitment varied according to this typology. LCA yielded a three-latent class solution, supporting evidence of (a) differential arrangements in the healthy and learning components of the HLO model; and (b) differential impacts on executives’ psychological distress and organizational commitment (i.e., affective, continuance). The HLO model offers novel grounds to assess healthy and learning organizations in the public administration sector.
An Examination of Corporate Social Responsibility and Employee Behavior: The Case of Pakistan

The internal dimension of Corporate Social Responsibility (CSR) refers to the socially responsible behavior of an organization towards its employees. The CSR relationship to employee behavior has received some attention but in general, there is little knowledge about the underlying explanatory mechanisms that can describe this relationship. In this study, a theoretical model of mediation and moderation is developed to explain how CSR can influence employee behavior. Organizational identification and work engagement are used as proxies for employee behavior in the model and internal dimension of CSR is assumed to affect both of them positively. Further, it is proposed that CSR influences the organizational identification positively and this relationship will be stronger in a collectivist culture, which will eventually lead to higher work engagement. A proposed model was tested on a sample of bank employees in Pakistan by using the Structural Equation Modeling (SEM) method. The results of this study provide contextual and empirical insights into how CSR influences employee behavior.
Impacts of Rewards, Promotions and Supervisor Support on Academic Staff’s Performance: An Empirical Study in Malaysian Universities

Copyright: © 2018 The Author(s) Published by Human Resource Management Academic Research Society (www.hrmars.com) This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
Business Calculus Students’ Reasoning about Optimization Problems: A Study of Quantitative Reasoning in an Economic Context

While the opportunity to learn mathematics via textbooks is well documented at the secondary and elementary levels, research on the opportunity to learn mathematics via textbooks at the undergraduate level has received little attention. Furthermore, research that examines the role of mathematics textbooks in students’ learning of important concepts such as marginal change in applied calculus is scarce. Research on students’ quantitative reasoning at the postsecondary level is lacking. This qualitative study investigated the opportunity to learn about optimization problems, marginal change, and quantitative reasoning in an economic context via a business calculus textbook and from lectures in a business calculus course. The study also investigated students’ quantitative reasoning, using task based interviews conducted with 12 pairs of business calculus students, about optimization problems and marginal change in an economic context. This study found that the textbook’s presentation of optimization problems and marginal change was largely procedural with limited attention to the underlying concepts and that opportunities for students to reason about relationships between or among economic quantities such as the relationship between marginal cost and marginal revenue at a profit maximizing quantity received little attention. The presentation of optimization problems and marginal change in course lectures closely followed the presentation of these topics in the textbook. Students’ interpretations of marginal change varied in different contexts and representations depending on the tasks they were given. This study provided insights into students’ quantitative reasoning when analyzing multivariable situations in an economic context: students created new quantities that helped them to solve the problems in the tasks and helped them to reason about relationships among several quantities. Implications for different stakeholders including business calculus instructors and suggestions for further research are included. Business Calculus Students’ Reasoning about Optimization Problems: A Study of Quantitative Reasoning in an Economic Context By Thembinkosi P. Mkhatshwa B.Sc., University of Swaziland, 2008 M.A., Marshall University, 2010 M.S., Syracuse University, 2013 DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics Education in the Graduate School of Syracuse University Syracuse University July 2016 Copyright © Thembinkosi P. Mkhatshwa, 2016 All Rights Reserved
Studying Reviewer Selection and Involvement in Modern Code Review Processes

Software code review is a well-established software quality practice. During code review, team members examine each others’ code changes in order to identify potential problems early in the development cycle. In a distributed development setting, code review in modern software organizations tends to converge on a lightweight variant called Modern Code Review (MCR). While enabling distributed reviews, MCR lacks mechanisms for ensuring a base level of review quality, which the formal software inspection of the past achieved through the careful review preparation and the formal review execution. Lax reviewing practices may creep into MCR processes, which can impact software quality. In this thesis, we perform a series of empirical studies in order to better understand how teams can improve their reviewing practices in MCR processes. We first perform two empirical studies to investigate how reviewers should be selected. We observe that (1) the proportion of reviewers without an expertise of a module shares a strong, increasing relationship with the likelihood of that module having future defects; however, (2) it is often difficult selecting appropriate reviewers, which can slow down MCR processes. To address this problem, we propose RevFinder, a file location-based reviewer recommendation approach. ∗Doctoral Dissertation, Graduate School of Information Science, Nara Institute of Science and Technology, NAIST-IS-DD1461020, September 5, 2016.
A post-occupancy evaluation of the impact of exhibit changes on conservation knowledge, attitudes, and behavior of zoo visitors

Abstract Given that conservation education is a primary goal for zoos, it is important to study how changes in exhibit design in the same facility (with the same animals and visitor base) can impact short- and long-term conservation knowledge, attitudes, and behavior (KAB) amongst visitors. However, there is very limited research on this topic. Our goal was to conduct a comprehensive post-occupancy evaluation to study this impact at two exhibits that underwent renovations at Zoo Atlanta, using rigorous methodology and addressing limitations in previous research. We did not find significant differences in KAB scores when comparing the pre- and post-renovated exhibits. This is contrary to the existing view that renovations from non-naturalistic to naturalistic exhibits (and/or renovations to displays and signage) will improve KAB. Future researchers should continue to use rigorous methods to obtain valid and reliable measures of the impact of zoo exhibits and exhibit renovations on conservation-related KAB.
Gold nanostructures using tobacco mosaic viruses for optical metamaterials

We have succeeded in aligning gold nanoparticles (Au NPs) in three-dimensions using tobacco mosaic virus (TMV) in order to realize new optical properties. TMV is a tube-shaped plant virus about 300 nm in length with an outer- and inner-diameter of 18 nm and 4 nm. We genetically fused material-binding peptides that can promote metal crystallization, namely a gold-binding peptide (GBP) and a titanium-binding peptide (TBP), to the outer-surface of TMV. By reducing potassium chloroaurate with sodium borohydride in the presence of the engineered viruses in 5% acetic acid solution, Au NPs were deposited on the outer-surface of the viruses. Using TBP-fused TMV, NPs of 5 nm were obtained, with a standard deviation smaller than those deposited on wild-type TMV. The diameter of the NPs on GBP-fused TMV was 10 nm. These results indicate that genetically-modified TMVs are promising templates for the construction of optical metamaterials.
The Dynamics of Risk

Earthquakes are a huge global threat. In thirty-six countries, severe seismic risks threaten populations and their increasingly interdependent systems of transportation, communication, energy, and finance. This book provides an examination of how twelve communities in nine countries responded to destructive earthquakes between 1999 and 2015. And many of the book's lessons can also be applied to other large-scale risks. The book sets the global problem of seismic risk in the framework of complex adaptive systems to explore how the consequences of such events ripple across jurisdictions, communities, and organizations in complex societies, triggering unexpected alliances but also exposing social, economic, and legal gaps. It assesses how the networks of organizations involved in response and recovery adapted and acted collectively after the twelve earthquakes it examines. It describes how advances in information technology enabled some communities to anticipate seismic risk better and to manage response and recovery operations more effectively, decreasing losses. Finally, the book shows why investing substantively in global information infrastructure would create shared awareness of seismic risk and make post-disaster relief more effective and less expensive. The result is a landmark study of how to improve the way we prepare for and respond to earthquakes and other disasters in our ever-more-complex world.
The Effects of Pension-Related Policies on Household Spending

This paper estimates the impact of pension-related policies on household spending. The identification strategy exploits the deviation in pensioner income and expenditure caused by the introduction of a new pension system during the 1980s and 1990s in Spain and constructs a new narrative series of legislated pension changes. I present a variety of estimates, some of them imply that increases in the average pension have a roughly one-for-one effect on pensioner spending. The strongest effects are on the pensioners with the highest levels of expenditure, income, and wealth. Estimates for different categories of expenditure indicate that benefit increases trigger these pensioners to spend more on durables. At the same time, pension-related policies targeted to pensioners with low income levels seem to affect the spending on non-durables and necessities such as food positively.
Parallel pattern mining - application of GSP algorithm for Graphics Processing Units

Frequent pattern mining is the field with many practical applications, where large computational power and speed are needed. Many solutions, both software and hardware, are proposed for those applications, but specialised solutions in form of embedded systems are not so common as one could imagine. This is especially true when we consider problems that can be paralleled. Many of the state-of-the-art frequent pattern mining applications are inefficient when used on shared memory systems or multiprocessor systems. To solve this problem both hardware and software solutions are proposed - remapping system architecture, improving memory performance, modifying task allocation. This article proposes modification of classical frequent pattern mining algorithms from Apriori family, illustrated with the example of popular GSP algorithm. Addition of GPU (Graphics Processing Unit) or multiple GPUs to embedded system is proposed and algorithm is modified in such a way, that it is best suited for solving GPGPU (general-purpose computation on graphics hardware) problems. Both theoretical and experimental evaluation of modifications are made, the latter with use of setup consisting of NVIDIA Tesla card and CUDA parallel computing platform. It is shown in the article, that for tested data sets modified GSP algorithm finishes finding frequent sequences 50-100 times faster and with the same accuracy. Such speed-up allows the use of classical pattern mining algorithms for real-time solutions. This also permits broader scope of algorithms to be used in embedded systems with real-time constraints.
Effect of Financial Information and Corporate Social Responsibility Disclosure on Investment Decision: Evidence from an Experimental Study

Manuscript type: Research paper Research aims: This research is based on an experiment which is conducted to examine the effects of financial information and corporate social responsibility (CSR) disclosure on investment decision. Design/Methodology/Approach: The research employs the laboratory experiment design which involves 45 graduate students as subjects. The independent variable, financial information, is manipulated by favourable and unfavourable financial information while the CSR disclosure is manipulated by prevention focus and promotion focus. The dependent variable, investment decision, is manipulated by using the 10-point Likert scale. Subjects are randomly assigned to one of four treatments (favourable or unfavourable financial information and promotion focus or prevention focus of CSR disclosure). Research findings: The results show that CSR disclosure affects investment decision. The results also show that subjects decide on greater investments when the CSR disclosure is with a prevention focus. Theoretical contribution/Originality: By investigating the effect of financial information and CSR disclosure on investment decision, this research has effectively used the CSR disclosure strategy to determine investment decision. This research contributes to extant literature by highlighting that CSR disclosure based on regulatory focus can be more effective for investment decision, especially when it has a prevention focus. This persuades investors to make their investment decision. Practitioner/Policy implication: The findings of the current research show that investors make greater investments in financial information and CSR disclosure with a prevention focus. The findings of this research will encourage firms to disclose their CSR activities by taking into consideration the situational aspects, based on the prevention focus that emphasises on avoiding social and environmental negative effects. Research limitation/Implications: This research only examines the situational focus of regulation on investment decision. Future research can examine the effect of chronic regulatory focus on investors. Keywords: Financial Information, Corporate Social Responsibility, Regulatory Focus Theory, Experimental Design, Investment Decision JEL Classification: M41