Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk and pharmacoeconomic analyses of the injectable medication process in the paediatric and neonatal intensive care units.

OBJECTIVE To analyse safety risks in injectable medications. To assess the potential impact and pharmacoeconomic aspects of safety tools. DESIGN The injectable drug process was prospectively assessed using a failure modes, effects and criticality analysis. Criticality indexes were estimated based on their likelihood of occurrence, detection probability and potential severity. The impact of 10 safety tools on the criticality index was calculated and extrapolated to all drugs injected daily. Yearly costs for a reduction in criticality by 1 point (=1 quali) per day were estimated. SETTING Paediatric and neonatal intensive care units in a University Hospital. PARTICIPANTS Two paediatric nurses, a neonatologist, three hospital pharmacists. INTERVENTIONS Qualitative and quantitative risk assessment. MAIN OUTCOME MEASURES Failure modes, criticality indexes, cost-efficacy ratios. RESULTS Thirty-one failure modes identified, with the mean of their entire criticality indexes totalling 4540. The most critical failure mode was microbial contamination. The following gains were predicted: 1292 quali (46 500 per day by extrapolation) from ready-to-use syringes, 1201 (72 060) by employing a clinical pharmacist, 996 (59 780) from double check by nurses and 984 (59 040) with computerized physician order entry. The best cost-efficacy ratios were obtained for a clinical pharmacist (1 quali = 0.54 euros), double check (1 quali = 0.71 euros) and ready-to-use syringes (1 quali = 0.72 euros). Computerized physician order entry showed the worst cost-efficacy ratio due to a very high investment costs (1 quali = 22.47 euros). CONCLUSION Based on our risk and pharmacoeconomic analyses, clinical pharmacy and ready-to-use syringes appear as the most promising safety tools.
Communitarian societies and public engagement in public health

Abstract For effective public health interventions in communitarian societies, public engagement must reflect cultural values that focus on preserving collectives, rather than individuals. The case of the Ebola epidemic in West Africa is used to reflect on the drivers and consequences of failure to incorporate local knowledge, local leaders and local ethical values in the adaption of programmes from elsewhere.
Examining the Differences in Roles and Functions of School Psychologists Among Community Settings: Results from a National Survey

XV CHAPTER 1: INTRODUCTION . 1 INITIAL STUDIES ON RURAL SCHOOL PSYCHOLOGY . 4 SUMMARY . 8 CHAPTER 2: LITERATURE REVIEW . 11 ORIGINS OF SCHOOL PSYCHOLOGY AS A PROFESSION. 11 The Hybrid Years (1890 – 1969). 11 The Thoroughbred Years (1970 – Present). 12 URBAN AND SUBURBAN SCHOOL PSYCHOLOGY . 13 DEMOGRAPHIC CHARACTERISTICS AND PROFESSIONAL PRACTICES . 15 NASP 1994 – 1995 survey of the field. 16 NASP 1999 – 2000 survey of the field. 17 NASP 2004 – 2005 survey of the field. 19 NASP 2009 2010 survey of the field. 19 SURVEY METHODOLOGY AND RESPONSE RATES . 20 NASP MEMBER STUDIES VS. NON-NASP MEMBER STUDIES . 21 JOB SATISFACTION AND SCHOOL PSYCHOLOGISTS . 21 DEFINING RURAL . 24 SCHOOL PSYCHOLOGIST ROLES AMONG COMMUNITY SETTINGS ix Definitions of rural. 25 Six definitions of rural. 25 1) U.S. Census Bureau classifications. 26 2) Metropolitan status codes. 26 3) Urban-rural continuum codes. 27 4) Metro-centric locale codes. 28 5) Urban-centric locale codes. 29 6) Core-based statistical areas. 30 Great Data: A zip code data base. 30 CONCLUSION . 32 CURRENT STUDY . 34 CHAPTER 3: METHOD . 35 DESIGN . 35 PARTICIPANTS . 37 DEFINITION OF COMMUNITY SETTING . 38 MEASURES . 39 Regional Role and Function Survey (RRFS). 39 Minnesota Satisfaction Questionnaire – Short Form (MSQ – SF). 41 PROCEDURES . 42 DATA ANALYSIS . 43 CHAPTER 4: RESULTS . 45 COMMUNITY SETTING AND EFFECT ON ROLE DIVERSIFICATION AND JOB SATISFACTION . 45 FACTORS INFLUENCING TIME SPENT OUTSIDE OF SPECIAL EDUCATION ASSESSMENT . 47 SCHOOL PSYCHOLOGIST ROLES AMONG COMMUNITY SETTINGS x FACTORS INFLUENCING THE NUMBER OF ROLES IN WHICH SCHOOL PSYCHOLOGISTS ENGAGE 48 VARIATION IN ROLE AND FUNCTION OF SCHOOL PSYCHOLOGISTS WITHIN RURAL SETTINGS . 49 FACTORS RELATED TO SCHOOL PSYCHOLOGISTS’ JOB SATISFACTION . 49 SECONDARY ANALYSES . 50 1) Community setting and effect on role diversification and job satisfaction. 51 2) Factors influencing time spent outside of special education assessment. 52 3) Factors influencing the number of roles in which school psychologists engage. 53 4) Variation in role and function of school psychologists within rural settings. 53 5) Factors related to school psychologist’s job satisfaction. 54 CHAPTER 5: DISCUSSION . 55 ROLE DIVERSIFICATION . 55 THE GENERALIST MODEL AND BOUNDARY-SPANNING . 57 THE RURAL DIFFERENCE . 61 SCHOOL PSYCHOLOGIST JOB SATISFACTION . 63 OPERATIONALIZATION OF COMMUNITY SETTING AND METHODOLOGICAL DESIGN . 64 LIMITATIONS. 68 Sample size. 68 Survey construction, malformed responses, and method. 71 FUTURE DIRECTIONS . 74 Methodological design of community setting research. 74 Rural vs. remote rural differences. 76 Optimal number of school psychologists. 76 IMPLICATIONS FOR PRACTICE . 77 SCHOOL PSYCHOLOGIST ROLES AMONG COMMUNITY SETTINGS xi CONCLUSION . 78 REFERENCES . 80 TABLES . 93 FIGURES . 114 APPENDIX A . 117 APPENDIX B . 121 APPENDIX C . 124 BIOGRAPHICAL SKETCH . 125 SCHOOL PSYCHOLOGIST ROLES AMONG COMMUNITY SETTINGS xii
Financial market signals and banking supervision: are current practices consistent with research findings?

The trend toward incorporating information derived from financial markets into the bank supervision process has gained momentum over the past several years. This in part reflects an evolution in the thinking about how private market information can contribute to the process. In light of the evolving view of the potential contributions of market information, this paper reviews the empirical evidence relevant to the usefulness of financial market information in the bank supervision process. This paper reviews the research on what information can be gleaned from the pricing of equity and debt securities issued by banking organizations. The weight of the research leaves little room for doubt that financial market signals reflect underlying bank risk and that market evaluations of the risk of individual banking organizations are strongly correlated with supervisory findings. The evidence on the extent to which market signals can augment the information set of bank supervisors is more subtle, but overall it demonstrates that financial market signals should play a role in the bank supervision process.
Conjugated operators in quantum algorithms

This paper addresses the question of understanding quantum algorithms in terms of unitary operators. Many quantum algorithms can be expressed as applications of operators formed by conjugating so-called classical operators. The operators that are used for conjugation are determined by the problem and any additional structure possessed by the Hilbert space that is acted upon. We prove many new commutative laws between these diierent operators, and we use those to phrase and analyze old and new problems and algorithms. As an example, we review the Abelian subgroup problem. We then introduce the problem of determining a group homo-morphism, and we give classical and quantum algorithms for it. We also generalize Deutsch's problem and improve the previous best algorithms for earlier generalizations of it. 1 Quantum computation Here is an outline of the most popular quantum algorithm ever developed. It begins with elementary classical preprocessing, and then it applies the following quantum experiment: starting in an initial superposition of all possible states, it computes a classical function, applies a quantum Fourier transform, and-nally performs a measurement. Depending on the outcome, it may carry out one or more similar quantum experiments, or complete the computation with some classical postprocessing. This algorithm is in fact not just a single algorithm, but rather a large class of algorithms. It includes Shor's algorithms for factoring and discrete logarithms 1], Supported in part by the esprit Long Term Research Programme of the EU under project number 20244 (alcom-it).
Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter

Time series of remotely sensed data are an important source of information for understanding land cover dynamics. In particular, the fraction of absorbed photosynthetic active radiation (fAPAR) is a key variable in the assessment of vegetation primary production over time. However, the fAPAR series derived from polar orbit satellites are not continuous and consistent in space and time. Filtering methods are thus required to fill in gaps and produce high-quality time series. This study proposes an adapted (iteratively reweighted) local regression filter (LOESS) and performs a benchmarking intercomparison with four popular and generally applicable smoothing methods: Double Logistic (DLOG), smoothing spline (SSP), Interpolation for Data Reconstruction (IDR) and adaptive Savitzky-Golay (ASG). This paper evaluates the main advantages and drawbacks of the considered techniques. The results have shown that ASG and the adapted LOESS perform better in recovering fAPAR time series over multiple controlled noisy scenarios. Both methods can robustly reconstruct the fAPAR trajectories, reducing the noise up to 80% in the worst simulation scenario, which might be attributed to the quality control (QC) MODIS information incorporated into these filtering algorithms, their flexibility and adaptation to the upper envelope. The adapted LOESS is particularly resistant to outliers. This method clearly outperforms the other considered methods to deal with the high presence of gaps and noise in satellite data records. The low RMSE and biases obtained with the LOESS method (|rMBE| < 8%; rRMSE < 20%) reveals an optimal reconstruction even in most extreme situations with long seasonal gaps. An example of application of the LOESS method to fill in invalid values in real MODIS images presenting persistent cloud and snow coverage is also shown. The LOESS approach is recommended in most remote sensing applications, such as gap-filling, cloud-replacement, and observing temporal dynamics in situ where rapid seasonal changes are produced.
Opinion groups formation and dynamics : structures that last from non lasting entities

We extend simple opinion models to obtain stable but continuously evolving communities. Our scope is to meet a challenge raised by sociologists of generating "structures that last from nonlasting entities. " We achieve this by introducing two kinds of noise on a standard opinion model. First, agents may interact with other agents even if their opinion difference is large. Second, agents randomly change their opinion at a constant rate. We show that for a large range of control parameters, our model yields stable and fluctuating polarized states, where the composition and mean opinion of the emerging groups is fluctuating over time.
Spatio‐temporal interactions in cat retinal ganglion cells showing linear spatial summation.

The spatio‐temporal characteristics of cat retinal ganglion cells showing linear summation have been studied by measuring both magnitude and phase of the responses of these cells to drifting or sinusoidally contrast‐modulated sinusoidal grating patterns. It has been demonstrated not only that X cells behave approximately linearly when responding with amplitudes of less than about 10 impulses/sec to stimuli of low contrast but also that cells of another type with larger receptive field centres (Q cells) behave approximately linearly under the same conditions. These Q cells appear to form a homogeneous group which is probably a subset of the tonic W cells (Stone & Fukuda, 1974) or sluggish centre‐surround cells (Cleland & Levick, 1974). The over‐all spatio‐temporal frequency characteristics of cells showing linear spatial summation are not separable in space and time. The form of the spatial frequency responsivity function of these cells depends upon the temporal frequency at which it is measured while the temporal phase of their resonse measured at any constant temporal frequency depends upon the spatial frequency of the stimulus. The behaviour of X and Q cells is quite well explained by an extension of the model in which signals from centre and surround mechanisms with radially Gaussian weighting functions are summed to provide the drive to the retinal ganglion cell. While the general form of the temporal frequency response characteristics of these ganglion cells are probably provided by the characteristics of elements common to the centre and surround pathways, the spatio‐temporal interactions can be explained by assuming that the surround signal is delayed relative to the centre signal by a few milliseconds.
Colonel Blotto's Top Secret Files: Multi-Dimensional Iterative Reasoning in Action

We introduce a novel decision procedure involving multi-dimensional iterative reasoning, in which a player decides separately on the various features of his strategy using an iterative process. This type of strategic reasoning fits a range of complicated situations in which a player faces a large and non-ordered strategy space. In this paper, the procedure is used to explain the results of a large web-based experiment of a tournament version of the Colonel Blotto Game. The interpretation of the participants’ choices as reflecting multi-dimensional iterative reasoning is supported by an analysis of their response times and the correlation between the participants’ behavior in this game and their choices in another game which triggers standard k-level reasoning. Finally, we reveal the most successful strategies in the tournament, which appear to reflect 2-3 levels of reasoning in each "dimension".
Structural identification of GMA models: algorithm and model comparison

We propose a local search algorithm for structural identification of Generalized Mass Action (GMA) models from time course data. The algorithm has been implemented as part of our existing system for identification of dynamical systems. We compare this approach to existing alternatives in terms of analytical GMA models, analytical GMA models with parameter estimation from time course data, S-systems, and linear models. This is done on three new test problems designed to exhibit different characteristic properties of biochemical pathways, and which are defined with chemical rate reactions. By applying state-of-the-art algorithmic methods we are able to make a full investigation for the test problems also with noisy data. The results show that on the tested problems, our structural identification algorithm is able to find as good or better models than any of the other approaches. It can therefore be expected to be a useful tool for identifying models of unknown systems from time course data. All test problems are available on the web.
Influence of Daily Individual Meteorological Parameters on the Incidence of Acute Coronary Syndrome

Background: A nationwide study was conducted to explore the short term association between daily individual meteorological parameters and the incidence of acute coronary syndrome (ACS) treated with coronary emergency catheter interventions in the Republic of Slovenia, a south-central European country. Method: We linked meteorological data with daily ACS incidence for the entire population of Slovenia, for the population over 65 years of age and for the population under 65 years of age. Data were collected daily for a period of 4 years from 1 January 2008 to 31 December 2011. In line with existing studies, we used a main effect generalized linear model with a log-link-function and a Poisson distribution of ACS. Results and Conclusions: Three of the studied meteorological factors (daily average temperature, atmospheric pressure and relative humidity) all have relevant and significant influences on ACS incidences for the entire population. However, the ACS incidence for the population over 65 is only affected by daily average temperature, while the ACS incidence for the population under 65 is affected by daily average pressure and humidity. In terms of ambient temperature, the overall findings of our study are in line with the findings of the majority of contemporary European studies, which also note a negative correlation. The results regarding atmospheric pressure and humidity are less in line, due to considerable variations in results. Additionally, the number of available European studies on atmospheric pressure and humidity is relatively low. The fourth studied variable—season—does not influence ACS incidence in a statistically significant way.
The Social Network Gamer’s Experience of Play

We address the subjective experience of social network gamers playing Restaurant City, a game hosted on Facebook. We adopted a netnographic approach to studying the culture of transient Internet communities shaping the player off-line communities. Fieldwork was conducted over the entire life span of the game (3 years). Data were analyzed using a qualitative thematic approach and the software EdEt. The results describe the evolution of the gaming experience through online interaction and its importance in everyday off-line life. Players were observed to play an important role in the production of social meanings associated with gaming and with the gaming community online and off-line. We discuss the implications of our findings regarding how the gaming process is a far more complex scenario than envisaged by a business vision based on acquisition, retention, and monetization.
The Virgo High-Resolution CO Survey: II. Rotation Curves and Dynamical Mass Distributions

Based on a high-resolution CO survey of Virgo spirals with the Nobeyama Millimeter-wave Array, we determined the dynamical centers using velocity fields, and derived position–velocity diagrams (PVDs) along the major axes of the galaxies across their dynamical centers. We applied a new iteration method to derive rotation curves (RCs), which reproduce the observed PVDs. The obtained high-accuracy RCs generally show a steep rise in the central ∼100 to 200pc regions, followed by flat rotation in the disk. We applied a deconvolution method to calculate the surface-mass density (SMD) using the RCs based on two extreme assumptions that the mass distribution is either spherical or thin-disk shaped. Both assumptions give nearly identical results, agreeing with each other within a fac�� )
The International Sport Coaching Bachelor Degree Standards of the International Council for Coaching Excellence

Sport coaching is at a pivotal moment in its short history. The publication of the International Sport Coaching Framework by the International Council for Coaching Excellence (ICCE) in 2013 has drawn attention to coaching world-wide and fostered a step change in the way coaching systems are understood and built. Within this evolving context, higher education institutions are increasingly playing a greater role in the education and development of coaches in many countries. One way in which they are doing so is through the delivery of partial or full sport coaching degrees. ICCE recognises this emerging landscape. In this article we present an introduction to the newly developed International Sport Coaching Bachelor Degree Standards. The Standards are the culmination of a 12-month process of cooperation and consultation between an expert group and the coaching community at large. They aim to respond to the needs of higher education institutions and serve as an internationally accepted reference point to aid the development of bachelor coaching degrees that prepare coaches to effectively support athletes and participants.
An approach for malware behavior identification and classification

Malware is one of the major security threats that can break computer operation. However, commercial anti-virus or anti-spyware that used signature-based matching to detects malware cannot solve that kind of threats. Nowadays malware writers try to avoid detection by using several techniques such as polymorphic, metamorphic and also hiding technique. In order to overcome that issue, we proposed a new framework for malware behavior identification and classification that apply dynamic approach. This framework consists of two major processes such as behavior identification and malware classification. These two major processes will integrate together as interrelated process in our proposed framework. Result from this study is a new framework that able to identify and classify malware based on it behaviors.
An Approach to Analysis of Daily Living Dynamics

This paper addresses a module within a care system based on daily human behavior extracted from localization data. The proposed method is based on transforming the sequence of posture and spatial information using novel matrix presentation to ex- tract spatial-activity features. Then, outlier detection method is used for classiflcation of individual's usual and unusual daily patterns regardless of the cause of the problem, be it physical or mental. Initial ex- periments show that the proposed algorithm success- fully discriminates between daily behavior patterns of healthy person and those with health problems.
What triggers imposter phenomenon among academic faculty? A critical incident study exploring antecedents, coping, and development opportunities

ABSTRACT Despite research on imposter phenomenon among graduate students, few researchers have explored how academic faculty copes with the psychological stress resulting from questioning their professional legitimacy and expertise. We examined the predicating events that trigger imposter tendencies among academic faculty, their applied coping skills at mitigating such experiences and types of institutional resources that could support faculty struggling with imposter phenomenon. We position our study within identity theory and suggest that the emergence of imposter phenomenon could be a formative part of how faculty form their professional identity. Using critical incident technique (CIT) to analyse faculty narratives (n = 16), we identified four specific incidents that triggered faculty imposter experiences, four distinct coping methods used to interrupt the imposter cycle, and perceived needs and resources around institutional support. We also identified gender differences in incidents and coping responses. Specific suggestions are offered for formal and informal learning interventions in dealing with faculty imposter phenomenon as it relates to work outcomes.