Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between adoption of evidence-based treatment and survival for patients with ST-elevation myocardial infarction.

CONTEXT Only limited information is available on the speed of implementation of new evidence-based and guideline-recommended treatments and its association with survival in real life health care of patients with ST-elevation myocardial infarction (STEMI). OBJECTIVE To describe the adoption of new treatments and the related chances of short- and long-term survival in consecutive patients with STEMI in a single country over a 12-year period. DESIGN, SETTING, AND PARTICIPANTS The Register of Information and Knowledge about Swedish Heart Intensive Care Admission (RIKS-HIA) records baseline characteristics, treatments, and outcome of consecutive patients with acute coronary syndrome admitted to almost all hospitals in Sweden. This study includes 61,238 patients with a first-time diagnosis of STEMI between 1996 and 2007. MAIN OUTCOME MEASURES Estimated and crude proportions of patients treated with different medications and invasive procedures and mortality over time. RESULTS Of evidence-based treatments, reperfusion increased from 66% (95%, confidence interval [CI], 52%-79%) to 79% (95% CI, 69%-89%; P < .001), primary percutaneous coronary intervention from 12% (95% CI, 11%-14%) to 61% (95% CI, 45%-77%; P < .001), and revascularization from 10% (96% CI, 6%-14%) to 84% (95% CI, 73%-95%; P < .001). The use of aspirin, clopidogrel, β-blockers, statins, and angiotensin-converting enzyme (ACE) inhibitors all increased: clopidogrel from 0% to 82% (95% CI, 69%-95%; P < .001), statins from 23% (95% CI, 12%-33%) to 83% (95% CI, 75%-91%; P < .001), and ACE inhibitor or angiotensin II receptor blockers from 39% (95% CI, 26%-52%) to 69% (95% CI, 58%-70%; P < .001). The estimated in-hospital, 30-day and 1-year mortality decreased from 12.5% (95% CI, 4.3%-20.6%) to 7.2% (95% CI, 1.7%-12.6%; P < .001); from 15.0% (95% CI, 6.2%-23.7%) to 8.6% (95% CI, 2.7%-14.5%; P < .001); and from 21.0% (95% CI, 11.0%-30.9%) to 13.3% (95% CI, 6.0%-20.4%; P < .001), respectively. After adjustment, there was still a consistent trend with lower standardized mortality over the years. The 12-year survival analyses showed that the decrease of mortality was sustained over time. CONCLUSION In a Swedish registry of patients with STEMI, between 1996 and 2007, there was an increase in the prevalence of evidence-based treatments. During this same time, there was a decrease in 30-day and 1-year mortality that was sustained during long-term follow-up.
With the Right Map, Survey Key Driver Analysis Can Help Get Organizations to the Right Destination

Cucina, Walmsley, Gast, Martin, and Curtin (2017) raise an important issue in evaluating whether our current approaches for key driver analysis on employee opinion survey data are indeed best practices. As has been argued elsewhere (Putka & Oswald, 2016; Scherbaum, Putka, Naidoo, & Youssefnia, 2010), there is and can be misalignment between current and best practices. We agree with Cucina et al. that our field should engage in larger discussion of these issues. That discussion is critical, as industrial and organizational (I-O) psychologists are competing with those outside our field who have either little knowledge of best practices in data analysis (but who have been empowered by technology that automates the analysis) or little knowledge of psychology (but a great deal of knowledge in big data analytical techniques). I-O psychologists are in the vanguard of survey data analysis (Ducey et al., 2015), and we have a responsibility to maintain the standards of our field as well as to wield our influence to guide other practitioners outside our field on sound theoretical and analytical approaches.
Examining shopping enjoyment: personal factors, word of mouth and moderating effects of demographics

Abstract Shopping enjoyment represents an important research concept within the consumer behaviour and marketing communication field. The purpose of this research is to explore direct influences of personal factors (attitudes toward the advertising, the need for individuality/uniqueness, price sensitivity) on shopping enjoyment, its impact on the word of mouth communication (WOM) and the moderating effects of demographic variables (gender and education) on these relationships. The research was conducted on the representative sample of 1000 Croatian respondents. The variety of statistical techniques, including SEM, was employed for data analysis. The results show that personal factors positively influence shopping enjoyment, which is positively related to WOM communication. Furthermore, the results confirm the moderating effects of gender and education on the relationship between the shopping enjoyment and WOM. These research findings contribute to the scientific knowledge enrichment and offer some practical marketing implications. Namely, the marketing experts can better understand the consumer’s factors impacting shopping enjoyment, which can enable them to adequately assess the necessary appeals and to create an effective and persuasive marketing communication. At the end, the paper addresses the research limitations and offers some future research directions.
Towards F-transform of a Higher Degree

The aim of this contribution is to show how the F- transform technique can be generalized from the case of constant components to the case of polynomial components. For this purpose, we choose complete functional spaces with inner products. After a general presentation of F m -transform where m ≥ 0, a detailed characterization of the F 1 -transform is given. We applied a tech- nique of numeric integration in order to simplify computation of F 1 - transform components. The inverse F m -transform, m ≥ 0, is de- fined in the same way as the ordinary F-transform.
Construct Validity of the Five Facet Mindfulness Questionnaire in Meditating and Nonmeditating Samples

Previous research on assessment of mindfulness by self-report suggests that it may include five component skills: observing, describing, acting with awareness, nonjudging of inner experience, and nonreactivity to inner experience. These elements of mindfulness can be measured with the Five Facet Mindfulness Questionnaire (FFMQ). The authors investigated several aspects of the construct validity of the FFMQ in experienced meditators and nonmeditating comparison groups. Consistent with predictions, most mindfulness facets were significantly related to meditation experience and to psychological symptoms and well-being. As expected, relationships between the observing facet and psychological adjustment varied with meditation experience. Regression and mediation analyses showed that several of the facets contributed independently to the prediction of well-being and significantly mediated the relationship between meditation experience and well-being. Findings support the construct validity of the FFMQ in a combination of samples not previously investigated.
Getting Rid of Links in Hierarchical Radiosity

Hierarchical radiosity with clustering has positioned itself as one of the most efficient algorithms for computing global illumination in non‐trivial environments. However, using hierarchical radiosity for complex scenes is still problematic due to the necessity of storing a large number of transport coefficients between surfaces in the form of links. In this paper, we eliminate the need for storage of links through the use of a modified shooting method for solving the radiosity equation. By distributing only unshot radiosity in each step of the iteration, the number of links decreases exponentially. Recomputing these links instead of storing them increases computation time, but reduces memory consumption dramatically. Caching may be used to reduce the time overhead. We analyze the error behavior of the new algorithm in comparison with the normal gathering approach for hierarchical radiosity. In particular, we consider the relation between the global error of a hierarchical radiosity solution and the local error threshold for each link.
An Ultraviolet selected galaxy redshift survey: New estimates of the local star formation rate

We present the first results of an ongoing spectroscopic survey of galaxies selected in the rest frame ultraviolet (UV). The source catalogue has been constructed from a flux-limited sample of stars, galaxies and QSOs imaged at 2000 A in Selected Area 57 with the FOCA balloon-borne imaging camera. Accurate positions for the UV sources have been obtained by matching with optical counterparts using APM scans of the Palomar Sky Survey limited at B 20.5. Here we present results derived from optical spectroscopy conducted with the WIYN telescope and the WHT for 142 faint sources. The redshift distribution for this UV-selected sample extends over 0 < z < 0.5, and a high fraction of the sources show intense nebular emission lines and UV–optical colours bluer than normal Hubble sequence galaxies. Such UV-selected surveys are thus a very efficient way to locate and study intermediate-redshift galaxies undergoing intense star formation. Although our sample is currently small, we derive a rest frame UV luminosity function with a steep faint-end slope consistent with that found for late-type galaxies in optical samples. However, the integrated luminosity density derived implies a volume-averaged star formation rate higher than other recent estimates, assuming a normal initial mass function. If representative of other UV fields, as suggested by UV number count studies, our data imply that the local abundance of star-forming galaxies may have been underestimated, and consequently claims for strong evolution in the global star formation rate in the range 0 < z < 1 overstated. An intensive study of a large UV-selected sample is likely to reveal important information on the declining population of star-forming galaxies of all types.
Monitoring and Alarm Interpretation in Industrial Environments

The ‘ALARM’ research group has been running two years as a multidlabs group within the French National Program on Artificial Intelligence PRCdIA. The group’s objective was to bring together representatives of the academic and industrial worlds in order to analyze, on real applications, the various problems raised by alarm interpretation and to define the potential benefits of AI techniques in this field. This paper presents the conclusions stemming from the analysis and discussions which took place during this period. It describes the industrial applications which the members of the group dealt with and compares them in a table with respect to several criteria identified as the most significant.
Choosing Strategies of Children and the Impact of Age and Gender on Library Use: Insights for Librarians

ABSTRACT Libraries continue to be an important source of books for young people, though relatively little is known about how gender and age influence visitation frequency for this purpose. In addition, while supporting children to choose books is part of the role of both school and public librarians, little is known about the strategies and processes children use to select books, and the beliefs and attitudes that underpin them. Findings from the 2016 Western Australian Study in Children's Book Reading offer insights into these areas that can support librarians to guide book choice, and they encourage targeted intervention to ensure that boys and older children make use of their libraries to support their literacy growth.
Glioblastoma-Initiating Cells: Relationship with Neural Stem Cells and the Micro-Environment

Glioblastoma multiforme (GBM, WHO grade IV) is the most common and lethal subtype of primary brain tumor with a median overall survival of 15 months from the time of diagnosis. The presence in GBM of a cancer population displaying neural stem cell (NSC) properties as well as tumor-initiating abilities and resistance to current therapies suggests that these glioblastoma-initiating cells (GICs) play a central role in tumor development and are closely related to NSCs. However, it is nowadays still unclear whether GICs derive from NSCs, neural progenitor cells or differentiated cells such as astrocytes or oligodendrocytes. On the other hand, NSCs are located in specific regions of the adult brain called neurogenic niches that have been shown to control critical stem cell properties, to nourish NSCs and to support their self-renewal. This “seed-and-soil” relationship has also been adapted to cancer stem cell research as GICs also require a specific micro-environment to maintain their “stem cell” properties. In this review, we will discuss the controversies surrounding the origin and the identification of GBM stem cells and highlight the micro-environment impact on their biology.
Perfect Space–Time Codes for Any Number of Antennas

In a recent paper, perfect (n times n) space-time codes were introduced as the class of linear dispersion space-time (ST) codes having full rate, nonvanishing determinant, a signal constellation isomorphic to either the rectangular or hexagonal lattices in 2n 2 dimensions, and uniform average transmitted energy per antenna. Consequence of these conditions include optimality of perfect codes with respect to the Zheng-Tse diversity-multiplexing gain tradeoff (DMT), as well as excellent low signal-to-noise ratio (SNR) performance. Yet perfect space-time codes have been constructed only for two, three, four, and six transmit antennas. In this paper, we construct perfect codes for all channel dimensions, present some additional attributes of this class of ST codes, and extend the notion of a perfect code to the rectangular case.
Mixed initiative argument in public deliberation

This paper aims to demonstrate the connection between argument structures, such as those that are created and manipulated by argument mapping tools, and argumentative dialogues, such as those that form a part of online deliberative processes. Our approach is to use recent advances in argument-based knowledge representation, and to tie these to tools we have developed that support argument mapping activities (specifically, the OVA analysis tool), and argument dialogue (specifically, the Arvina dialogue system, which is built on top of Google Wave). We use as our domain a recent contentious debate in Scottish politics which involved both wide-scale deliberative aspects and politically complex decision making. By explicitly representing argument structure we demonstrate how online debate tools can support mixed initiative argument, in which there is a level playing field between the points of view espoused autonomously by software, and those put forward by human participants.
Vision-based global localization and mapping for mobile robots

We have previously developed a mobile robot system which uses scale-invariant visual landmarks to localize and simultaneously build three-dimensional (3-D) maps of unmodified environments. In this paper, we examine global localization, where the robot localizes itself globally, without any prior location estimate. This is achieved by matching distinctive visual landmarks in the current frame to a database map. A Hough transform approach and a RANSAC approach for global localization are compared, showing that RANSAC is much more efficient for matching specific features, but much worse for matching nonspecific features. Moreover, robust global localization can be achieved by matching a small submap of the local region built from multiple frames. This submap alignment algorithm for global localization can be applied to map building, which can be regarded as alignment of multiple 3-D submaps. A global minimization procedure is carried out using the loop closure constraint to avoid the effects of slippage and drift accumulation. Landmark uncertainty is taken into account in the submap alignment and the global minimization process. Experiments show that global localization can be achieved accurately using the scale-invariant landmarks. Our approach of pairwise submap alignment with backward correction in a consistent manner produces a better global 3-D map.
A prospective cohort study on physical activity and sports-related injuries in 10–12-year-old children

Objectives: To describe the incidence and severity of injuries resulting from physical education, sports and leisure time physical activity (PA) in 10–12-year-old children. Design: This was a prospective cohort study conducted in primary schools, with 995 children aged 10–12 years old as participants. Individual weekly exposure was estimated from baseline and follow-up questionnaires. Exposure to physical education (PE) classes was equal in all schools. An injury was recorded if it occurred during either PE class, leisure time PA, or sports, and caused the child to at least stop the current activity. Injuries were reported within 1 week of injury onset. The main outcome measure was injury incidence density. Results: During the school year a total of 119 injuries were reported by 104 children, resulting in an overall injury incidence density (ID) of 0.48 per 1000 h of exposure (95% CI 0.38 to 0.57). Injury ID was lowest for leisure time PA, followed by PE and sports, respectively. Of all injuries, 40% required medical treatment and 14% resulted in 1 or more days of absence from regular school activities. In general for girls a higher injury ID was reported than for boys, mainly caused by a twofold higher risk during leisure time PA. Conclusions: Next to specific areas of preventive interest it was found that in this specific age group, girls require special attention as they seem to be at higher injury risk than boys.
Technostress Levels of Social Network Users Based on ICTs in Turkey

ICTs have become a rapidly renewing and important field. The use of these technologies, which constantly renew themselves in both software and hardware, is a source of pressure for both individual and social health and wellbeing. As a health concern, the pressure caused by intensive use of technology has been coined technostress. This study analyzes the technostress levels of social network users caused by the use of information and communication technologies through several variables. Social network users were chosen based on the assumption that they use and follow information and communication technologies intensively. This research, conducted on 287 participants, used data gathered through an online questionnaire. The study concluded that social networking users have “medium technostress level”, and that the significant contributing factors in technostress were social pressure regarding the use of technology, remembering large quantities of passwords and user names, anxiety regarding data loss, and technology giving shape to professional life. In addition, it was determined that technostress levels vary based on gender, profession and age.
Children’s morphological awareness: can the use of apostrophes and capital letters be improved through intervention?

The aim of this study was to determine whether a half-hour intervention could improve children’s use of apostrophes or capitals, and whether this use was related to morphological awareness. Participants were 55 children in Grades 3 to 4 (24 males; M = 9.56 years, SD = 6.29). Results demonstrated that the intervention group significantly improved their use of plural possessives (e.g., trees’), but not singular possessives (e.g., tree’s) or plurals (e.g., trees). The control group did not improve on any word type. Intervention was not successful for children learning to distinguish when to use or avoid capital letters (e.g., Turkey vs. turkey) with no improvement from either the intervention or control group. A follow-up pilot study of 19 children in Grades 5-6 (13 males; M = 11.44 years, SD = 9.04) demonstrated greater improvement, suggesting that a certain knowledge level is necessary for successful intervention. A second follow-up study of 26 adults (7 males; M = 30.54 years, SD = 15.51) indicated that while spellers did use capitals proficiently by adulthood, their use of apostrophes was far from perfect. Contrary to the hypothesis, no systematic patterns emerged between participants’ morphological awareness and their ability to use apostrophes and capitals. Implications for future interventions and education are discussed.
Learning and Inference with Constraints

Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, thc problems of interest become increasingly challenging and complex. Making complex decisions in real world problems often involves assigning values to sets of interdependent variables where the expressive dependency structure can influence, or even dictate, what assignments are possible. However, incorporating nonlocal depcndencies in a probabilistic model can lead to intractable training and inference. This paper presents Constraints Conditional Models (CCMs), a framework that augments probabilistic models with declarative constraints as a way to support decisions in an expressive output space while maintaining modularity and tractability of training. We further show that declarative constraints can be used to take advantage of unlabeled data when training the probabilistic model.
Cognitive Functions and the Model of Decision-Making Competence: The Specific Case of Organizational Setting

Abstract Introduction: Decision- making as an executive process, consists of a wide range of inputs such as conditioning based on past experiences, sensory and emotional responses, and the anticipation of future goals. The present study aims to investigate the effects of cognitive/executive functions on decision making competence in organizational settings. Method: The sample of this research consisted of 430 managers from 5 industrial companies in Iran who were selected by random sampling method. The instruments which were used in this study were the Cognitive Ability Questionnaire and the Adult Decision Making Competence (A-DMC) tasks. Structural Equation Modeling (SEM) was used through AMOS-22 for data analysis. Results: The results indicated that cognitive/executive functions –planning, cognitive flexibility, inhibitory control, & social cognition- had significant effects on 5 decision making competencies mediating by applying decision rules in the current model. Conclusion: To conclude, from our point of view, different decision-making tasks are separately related to cognitive/executive functions specifically at managerial frameworks. Thus, the current study indicated which cognitive control processes are most operative in the successful performance of managers on different decision tasks. If different executive functions are mainly needed for the successful accomplishment of some decision-making tasks, training these functions in organizations may improve some facets of decision-making performance.