Fortran 2018 coarray enhancements

Author(s):  
Michael Metcalf ◽  
John Reid ◽  
Malcolm Cohen

Teams allow separate sets of images to execute independently. An important design objective is that, given code that has been developed and tested on all images, it should be possible to run the code on a team without making changes. This requires that if a team has n images, the image indices within the team run from 1 to n. Teams are formed by partitioning an existing team into parts, starting with the team of all the images. New teams are executed within change team constructs. Most execution will be within the team, but direct access to data in ancestor and sibling teams is allowed. The number of images may be huge, making the probability of one failing significant. Facilities are therefore provided to allow the programmer to recover the computation after a failure. All these features are explained, together with events and new collective and atomic intrinsic procedures.

PEDIATRICS ◽  
1984 ◽  
Vol 74 (4) ◽  
pp. 557-558
Author(s):  
MARY LOUISE BUYSE

The increasing power and low price of the personal computer opens up many new possibilities for the management, storage, and retrieval of information in the convenience of your office. In addition to maintaining patient, accounting, and other vital records, the personal computer also gives the physician direct access to data and bibliographic sources formerly available only at large medical libraries. Furthermore, a number of other new online computer-based information services are also available. These information systems contain large databanks from which the physician makes requests. Unlike books and other printed publications that can become quickly outdated, central information banks are maintained to assure the most current data and research information.


2021 ◽  
Author(s):  
Georgina Nemeth

The goal of this paper is to shed new light on the relation between dream recall and dream experiences by providing a thorough analysis of the process that leads to dream reports. Three crucial steps of this process will be distinguished: dream production (the generation of a conscious experience during sleep), dream encoding (storing a trace of this experience in memory), and dream retrieval (accessing the memory trace upon awakening). The first part of the paper will assess how major theories think about the relationship between dream reports and these distinct steps. The second part will systematise how trait and state factors affecting dream recall — given different theoretical assumptions — might interact with dream production, encoding and retrieval. Understanding how the distinct steps of dream recall can be modulated by different factors is crucial for getting a better grip on how to acquire information about these steps empirically, and for drawing methodological conclusions with regard to the tools dream research relies on to collect subjective data about dream experiences. The third part of the paper will analyse how laboratory reports, logs and retrospective scales interact with the different factors that affect the distinct steps leading to dream reports, and will argue that prospective methods provide more direct access to data regarding dream production and encoding than retrospective methods, which — due to their inability to provide systematic control over the factors affecting the retrieval stage screen-off the variability in the production and the encoding of dreams.


Author(s):  
Elizabeth L Ogburn ◽  
Kara E Rudolph ◽  
Rachel Morello-Frosch ◽  
Amber Khan ◽  
Joan A Casey

Abstract In many settings researchers may not have direct access to data on one or more variables needed for an analysis, and instead may use regression-based estimates of those variables. Using such estimates in place of original data, however, introduces complications and can result in uninterpretable analyses. In simulations and observational data we illustrate the issues that arise when an average treatment effect is estimated from data where the outcome of interest is a prediction from an auxiliary model. We show that bias in any direction can result, both under the null and alternative hypotheses.


2019 ◽  
Author(s):  
Roman Hillje ◽  
Pier Giuseppe Pelicci ◽  
Lucilla Luzi

AbstractSummaryDespite the growing availability of sophisticated bioinformatic methods for the analysis of single-cell RNA-seq data, few tools exist that allow biologists without bioinformatic expertise to directly visualize and interact with their own data and results. Here, we present Cerebro (cell report browser), a Shiny- and Electron-based standalone desktop application for macOS and Windows, which allows investigation and inspection of pre-processed single-cell transcriptomics data without requiring bioinformatic experience of the user.Through an interactive and intuitive graphical interface, users can i) explore similarities and heterogeneity between samples and cells clusters in 2D or 3D projections such as t-SNE or UMAP, ii) display the expression level of single genes or genes sets of interest, iii) browse tables of most expressed genes and marker genes for each sample and cluster.We provide a simple example to show how Cerebro can be used and which are its capabilities. Through a focus on flexibility and direct access to data and results, we think Cerebro offers a collaborative framework for bioinformaticians and experimental biologists which facilitates effective interaction to shorten the gap between analysis and interpretation of the data.AvailabilityCerebro and example data sets are available at https://github.com/romanhaa/Cerebro. Similarly, the R packages cerebroApp and cerebroPrepare R packages are available at https://github.com/romanhaa/cerebroApp and https://github.com/romanhaa/cerebroPrepare, respectively. All components are released under the MIT License.


Author(s):  
Avner Kantor ◽  
Sheizaf Rafaeli

Data journalism (DJ) fosters audience independence. It encourages content exploration through visualizations, storytelling, and direct access to data sources. DJ assists the audience to be well informed, cognitively active, and contribute to the public sphere. Achieving this objective indicates the audience's independence. How independent is the audience of DJ? This question is answered based on the level of engagement of the audience. A low level of engagement prevents the audience from helping each other to interpret the dominant meaning and to identify its deficiencies. When the audience is engaged, they are able to reframe the message from a new perspective, challenging their understanding of the message. By analyzing the audience engagement levels and comparing different types of journalism we gain insight into audience behavior. We found a significant correlation between DJ audience engagement and time. This trend may be explained by the steep learning curve of DJ, which requires a special set of skills, in addition to the willingness to analyze and discuss interpretations with others. On the basis of the trend, we can conclude that over time, the audience became familiar with DJ and adopted it. Results could contribute to the realization of the internet's original promise to make the general public independent by providing free access to information.


2017 ◽  
Vol 35 (3) ◽  
pp. 218-232 ◽  
Author(s):  
Raphael Negri Milion ◽  
Thaís da C.L. Alves ◽  
José Carlos Paliari

Purpose The purpose of this paper is to investigate the impact of defects on the satisfaction of residential construction customers. Three working hypotheses were tested: first, defects in residential construction impact the customer satisfaction; second, different defects have different impacts on customer satisfaction; and third, interviewing customers about defects in their residential units is not a reliable method to collect data. Design/methodology/approach The research investigated correlations between data on defects and customer satisfaction surveys carried out by a construction company on its projects. Data were cross-checked to determine what kinds of defects have the worse impact on customer satisfaction. Findings The occurrence of defects does not necessarily jeopardize customer satisfaction, although it appears to be a concern to the customers who responded to the survey. When the occurrence of defects did interfere with customer satisfaction, it was found that the worse impacts resulted from the occurrence of multiple defects in a single unit, the inability of the construction company to communicate with the customer after a claim was filed, and the occurrence of functional defects. Results suggest that interviewing customers about the defect occurrence in their units is not a reliable method to collect data for research purposes. Practical implications Results can be used to help companies better define continuous improvement activities and avoid the occurrence of defects that cause the worse impacts to customer satisfaction. Originality/value Data availability is a challenge for studies on defects. This study had direct access to data from a construction company, which made the presented analyses possible.


2019 ◽  
Vol 36 (7) ◽  
pp. 2311-2313 ◽  
Author(s):  
Roman Hillje ◽  
Pier Giuseppe Pelicci ◽  
Lucilla Luzi

Abstract Despite the growing availability of sophisticated bioinformatic methods for the analysis of single-cell RNA-seq data, few tools exist that allow biologists without extensive bioinformatic expertise to directly visualize and interact with their own data and results. Here, we present Cerebro (cell report browser), a Shiny- and Electron-based standalone desktop application for macOS and Windows which allows investigation and inspection of pre-processed single-cell transcriptomics data without requiring bioinformatic experience of the user. Through an interactive and intuitive graphical interface, users can (i) explore similarities and heterogeneity between samples and cell clusters in two-dimensional or three-dimensional projections such as t-SNE or UMAP, (ii) display the expression level of single genes or gene sets of interest, (iii) browse tables of most expressed genes and marker genes for each sample and cluster and (iv) display trajectories calculated with Monocle 2. We provide three examples prepared from publicly available datasets to show how Cerebro can be used and which are its capabilities. Through a focus on flexibility and direct access to data and results, we think Cerebro offers a collaborative framework for bioinformaticians and experimental biologists that facilitates effective interaction to shorten the gap between analysis and interpretation of the data. Availability and implementation The Cerebro application, additional documentation, and example datasets are available at https://github.com/romanhaa/Cerebro. Similarly, the cerebroApp R package is available at https://github.com/romanhaa/cerebroApp. All components are released under the MIT License. Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Gerwin van Schie ◽  
Alex Smit ◽  
Nicolás López Coombs

This article is part of the Global Perspectives, Media and Communication special issue on “Media, Migration, and Nationalism,” guest-edited by Koen Leurs and Tomohisa Hirata. In line with the focus of this issue, we are interested in the ways in which open data is progressively used to construct indicators of the state’s performance in the form of race-ethnic categories. These data initiatives are typical for the ongoing quantification and datafication of society. Through APIs (application programming interfaces), both governmental bodies and third parties are given direct access to data, as well as the ways in which these data are structured. This infrastructure affords the appropriation of statistics concerning the national origins of Dutch citizens for new purposes. Through this data, race-ethnic categories are repurposed to measure the living conditions in the Netherlands, effectively keeping people with non-Dutch roots in the migrant category for up to three generations. To show how this process unfolds in the Netherlands, we investigate two web applications, the Allochtonenmeter and the Leefbaarometer, that make use of race-ethnically constructed data. We will argue that for a more complete understanding of the processes at play in the Dutch “data assemblage,” we need to enrich critical data studies with a postcolonial perspective. In this article, we consider race to be a verb rather than a noun, signifying a process or an action, as this takes away the necessity to communicate a nonessentialist perspective on what is raced, since the object of racing can be different in each new location, situation, and technical context. Our focus is therefore on how human characteristics such as nationality, ethnicity, or class are raced through data-driven processes and in relation to a particular history and culture in the Dutch context. In this light, we find that datafied systems do not merely report on particular groups in society but rather actively produce hierarchical distinctions between these groups.


2010 ◽  
Vol 6 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Sridhar Krishnamurti

This article illustrates the potential of placing audiology services in a family physician’s practice setting to increase referrals of geriatric and pediatric patients to audiologists. The primary focus of family practice physicians is the diagnosis/intervention of critical systemic disorders (e.g., cardiovascular disease, diabetes, cancer). Hence concurrent hearing/balance disorders are likely to be overshadowed in such patients. If audiologists get referrals from these physicians and have direct access to diagnose and manage concurrent hearing/balance problems in these patients, successful audiology practice patterns will emerge, and there will be increased visibility and profitability of audiological services. As a direct consequence, audiological services will move into the mainstream of healthcare delivery, and the profession of audiology will move further towards its goals of early detection and intervention for hearing and balance problems in geriatric and pediatric populations.


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