The Techno-Numerate Nurse: Results of a Study Exploring Nursing Student and Nurse Perceptions of Workplace Mathematics and Technology Demands

In this paper, we report on the findings of a research study that sought to answer the following questions: (i) How do current nursing students’ perceptions compare with those of actual working nurses regarding the mathematics and technology demands involved in nursing?; and, (ii) What types of course structures, content, pedagogy, or other recommendations could more effectively prepare nurses for the realities of the workplace in light of mathematics and technology demands? The study involved online open-response questions and semi-structured interviews. Seventy-six participants, including both 4th-year nursing students (n = 8) and working nurses (n = 68), completed the online component. Three of the practicing nurses, each working in very different healthcare contexts (mental health, neo-natal intensive care, acute care), volunteered to take part in subsequent in-depth interviews to share further insights. No statistically significant differences were found between nursing students’ and working nurses’ perceptions of mathematics and technology preparation for nursing within their undergraduate experiences. Based on the analysis of open-response item data and interview transcripts, we discuss the following emergent themes: math skills required for practice; math admission requirements; math-related course offerings and instructional strategies; technology skills required for practice; technology addressed in nursing programs; and, issues surrounding evidence-based practice and Internet access. The paper concludes with a list of seven recommendations for nurse education programs, as well as suggested directions for future research. _ Résumé Dans cet article, nous rapportons les résultats d\u27une recherche menée pour répondre aux questions suivantes : (i) quelle est la différence entre la perception des étudiantes en sciences infirmières et celle des infirmières sur le marché du travail concernant les exigences liées aux mathématiques et à la technologie dans le domaine des sciences infirmières? (ii) Quels types de structures de cours, de contenu, de méthodes pédagogiques ou quelles autres recommandations permettraient de mieux préparer les infirmières aux réalités du milieu du travail à la lumière des exigences liées aux mathématiques et à la technologie? La recherche a été réalisée à l\u27aide d\u27entrevues semi-structurées et de questions à réponses ouvertes accessibles en ligne. Soixante-seize participantes, dont des étudiantes de 4e année en sciences infirmières (n=8) et des infirmières en milieu de travail (n=68) ont répondu aux questions en ligne. Trois des infirmières en milieu de travail, toutes travaillant dans des contextes de soins de santé très différents (santé mentale, soins intensifs en néonatalogie, soins aigus), ont accepté de participer aux entrevues en profondeur pour partager davantage sur le sujet. Aucune différence statistiquement significative n\u27a été observée entre les perceptions des étudiantes en sciences infirmières et des infirmières en milieu de travail relativement à la préparation dans les domaines des mathématiques et des technologies pour les sciences infirmières dans le cadre de leurs études de premier cycle. D\u27après l\u27analyse des données issues des questions à réponses ouvertes et des transcriptions d\u27entrevues, nous discutons des thèmes émergents suivants : habiletés en mathématiques requises pour la pratique; exigences d\u27admission en mathématiques; offre de cours et stratégies d\u27enseignement touchant les mathématiques; habiletés en technologie requises pour la pratique; technologie abordée dans les programmes de sciences infirmières; et les questions concernant la pratique fondée sur des résultats probants et l\u27accès à Internet. Cet article se conclut par une liste de sept recommandations pour les programmes de formation en sciences infirmières, ainsi que par un ensemble d\u27orientations proposées pour les recherches futures

Citalopram inhibits platelet function independently of SERT-mediated 5-HT transport.

Citalopram prevents serotonin (5-HT) uptake into platelets by blocking the serotonin reuptake transporter (SERT). Although some clinical data suggest that selective serotonin reuptake inhibitors (SSRIs) may affect haemostasis and thrombosis, these poorly-characterised effects are not well understood mechanistically and useful in vitro data is limited. We sought to determine whether the inhibitory effects of citalopram on platelets are mediated via its pharmacological inhibition of 5-HT transport. We quantified the inhibitory potency of (RS)-, (R)- and (S)-citalopram on platelet function. If SERT blockade is the primary mechanism for citalopram-mediated platelet inhibition, these potencies should show quantitative congruence with inhibition of 5-HT uptake. Our data show that citalopram inhibits platelet aggregation, adhesion and thromboxane production with no difference in potency between (R)- and (S)-isomers. By contrast, citalopram had a eudysmic ratio of approximately 17 (S > R) for SERT blockade. Furthermore, nanomolar concentrations of citalopram inhibited 5-HT uptake into platelets but had no effect on other platelet functions, which were inhibited by micromolar concentrations. Our data indicate that citalopram-induced inhibition of platelets in vitro is not mediated by blockade of 5-HT transport. This raises a new question for future investigation: by what mechanism(s) does citalopram inhibit platelets

The LSST DESC data challenge 1: Generation and analysis of synthetic images for next-generation surveys

Data Challenge 1 (DC1) is the first synthetic data set produced by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). DC1 is designed to develop and validate data reduction and analysis and to study the impact of systematic effects that will affect the LSST data set. DC1 is comprised of r-band observations of 40 deg2 to 10 yr LSST depth. We present each stage of the simulation and analysis process: (a) generation, by synthesizing sources from cosmological N-body simulations in individual sensor-visit images with different observing conditions; (b) reduction using a development version of the LSST Science Pipelines; and (c) matching to the input cosmological catalogue for validation and testing. We verify that testable LSST requirements pass within the fidelity of DC1. We establish a selection procedure that produces a sufficiently clean extragalactic sample for clustering analyses and we discuss residual sample contamination, including contributions from inefficiency in star-galaxy separation and imperfect deblending. We compute the galaxy power spectrum on the simulated field and conclude that: (i) survey properties have an impact of 50 per cent of the statistical uncertainty for the scales and models used in DC1; (ii) a selection to eliminate artefacts in the catalogues is necessary to avoid biases in the measured clustering; and (iii) the presence of bright objects has a significant impact (2-6) in the estimated power spectra at small scales (> 1200), highlighting the impact of blending in studies at small angular scales in LSST

Herschel-ATLAS/GAMA: A difference between star formation rates in strong-line and weak-line radio galaxies

We have constructed a sample of radio-loud objects with optical spectroscopy from the Galaxy and Mass Assembly (GAMA) project over the Herschel Astrophysical Terahertz Large Area Survey (Herschel-ATLAS) Phase 1 fields. Classifying the radio sources in terms of their optical spectra, we find that strong-emission-line sources ('high-excitation radio galaxies') have, on average, a factor of ~4 higher 250-μm Herschel luminosity than weak-line ('lowexcitation') radio galaxies and are also more luminous than magnitude-matched radio-quiet galaxies at the same redshift. Using all five H-ATLAS bands, we show that this difference in luminosity between the emission-line classes arises mostly from a difference in the average dust temperature; strong-emission-line sources tend to have comparable dust masses to, but higher dust temperatures than, radio galaxies with weak emission lines. We interpret this as showing that radio galaxies with strong nuclear emission lines are much more likely to be associated with star formation in their host galaxy, although there is certainly not a one-to-one relationship between star formation and strong-line active galactic nuclei (AGN) activity. The strong-line sources are estimated to have star formation rates at least a factor of 3-4 higher than those in the weak-line objects. Our conclusion is consistent with earlier work, generally carried out using much smaller samples, and reinforces the general picture of high-excitation radio galaxies as being located in lower-mass, less evolved host galaxies than their low-excitation counterparts.Peer reviewe

Weak lensing, dark matter and dark energy

Weak gravitational lensing is rapidly becoming one of the principal probes of dark matter and dark energy in the universe. In this brief review we outline how weak lensing helps determine the structure of dark matter halos, measure the expansion rate of the universe, and distinguish between modified gravity and dark energy explanations for the acceleration of the universe. We also discuss requirements on the control of systematic errors so that the systematics do not appreciably degrade the power of weak lensing as a cosmological probe.Comment: Invited review article for the GRG special issue on gravitational lensing (P. Jetzer, Y. Mellier and V. Perlick Eds.). V3: subsection on three-point function and some references added. Matches the published versio

A Search for TeV Gamma-Ray Emission from High-Peaked Flat Spectrum Radio Quasars Using the Whipple Air-Cherenkov Telescope

Blazars have traditionally been separated into two broad categories based upon their optical emission characteristics; BL Lacs, with faint or no emission lines, and flat spectrum radio quasars (FSRQs) with prominent, broad emission lines. The spectral energy distribution of FSRQs has generally been thought of as being more akin to the low-peaked BL Lacs, which exhibit a peak in the infrared region of the spectrum, as opposed to high-peaked BL Lacs (HBLs), which exhibit a peak in UV/X-ray region of the spectrum. All blazars currently confirmed as sources of TeV emission are HBLs. Recent surveys have found several FSRQs exhibiting spectral properties similar to HBLs, particularly the synchrotron peak frequency. These objects are potential sources of TeV emission according to several models of blazar jet emission and blazar evolution. Measurements of TeV flux or upper limits could impact existing theories explaining the links between different blazar types and could have a significant impact on our understanding of the nature of objects that are capable of TeV emission. In particular, the presence (or absence) of TeV emission from FSRQs could confirm (or cast doubt upon) recent evolutionary models that expect intermediate objects in a transitionary state between FSRQ and BL Lac. The Whipple 10 meter imaging air-Cherenkov gamma-ray telescope is well suited for TeV gamma-ray observations. Using the Whipple telescope, we have taken data on a small selection of nearby(z<0.1 in most cases), high-peaked FSRQs. Although one of the objects, B2 0321+33, showed marginal evidence of flaring, no significant emission was detected. The implications of this paucity of emission and the derived upper limits are discussed.Comment: accepted for publication in Astrophysical Journa

Aptamer-based multiplexed proteomic technology for biomarker discovery

Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology. We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 [mu]L of serum or plasma). Our current assay allows us to measure ~800 proteins with very low limits of detection (1 pM average), 7 logs of overall dynamic range, and 5% average coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding DNA aptamer concentration signature, which is then quantified with a DNA microarray. In essence, our assay takes advantage of the dual nature of aptamers as both folded binding entities with defined shapes and unique sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to discover unique protein signatures characteristic of various disease states. More generally, we describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine

Relatório de estágio profissional

O presente Relatório foi realizado no âmbito do Estágio Profissional I e II. Trata-se de um trabalho elaborado com base na observação de aulas e na experimentação didática; os materiais obtidos (como, por exemplo, horários, dados sobre as turmas, fichas, etc.) foram submetidos a uma análise documental