Number Of Online Tools Research Articles

Spatial Analysis of Global Variability in Covid-19 Burden.

BackgroundSince the first occurrence of coronavirus disease 2019 (Covid-19), a number of online tools have become available to assist with tracking Covid-19 prevalence. Yet we are unaware of resources that provide country-specific Covid-19 incidence data.MethodsWe undertook a descriptive analysis of the global impact of Covid-19 using data reported on March 17, 2020. The prevalence of Covid-19 cases, fatalities attributed to Covid-19, and the case fatality rate for each of the 238 countries were accessed from the World Health Organization global Covid-19 tracking site, and we additionally calculated Covid-19 incidence based on country-specific population data. We determined the country-specific point prevalence and incidence of Covid-19 and associated deaths while using geocoded data to display their spatial distribution with geographic heat maps.ResultsThe analysis included 193,197 Covid-19 cases and 7859 associated deaths. The point prevalence was highest in China (80,881), Italy (31,506), Iran (16,169), and Spain (11,312); no other country reported more than 10,000 cases. The incidence (per million population) was highest in San Marino (3389) followed by Iceland (645) and Italy (521); no other country had an incidence above 400 per million population.ConclusionCountries with a high Covid-19 prevalence may not have a high incidence, and vice versa. Public health agencies that provide real-time infection tracking tools should report country-specific Covid-19 incidence metrics, in addition to prevalence data.

Biobanking and biomolecular resource research infrastructure: The Italian node

BBMRI-ERIC is a European research infrastructure for biobanking, bringing together all the main players from the biobanking field – researchers, biobankers, industry, and patients – to boost biomedical research. To that end, it offers quality management services, support with ethical, legal and societal issues, and a number of online tools and software solutions. Ultimately, the goal of BBMRI-ERIC and its National Nodes is to make new treatments possible.

EHealth literacy in inpatients with respiratory diseases of a Class III Grade A hospital in Beijing

Objective To understand the level and characteristics of eHealth literacy of inpatients with respiratory diseases and its influencing factors. Methods Using convenient sampling method, the profile of 155 inpatients in Department of Respiratory in a Class Ⅲ Grade A hospital in Beijing from April to May 2018 were collected, including general information, habits of searching health-related information online and scores in Electronic Health Literacy Scale (eHEALS) . Single and multivariate analysis were conducted to analyze the influencing factors of their eHealth literacy. Results The patients' eHealth literacy score was (21.22±8.63) . The results of multiple linear regression analysis showed that the number of online tools, age, place of residence, and education level entered the model, and the fitting model adjusted R2 was 0.427. Conclusions The level of eHealth literacy in hospitalized patients with respiratory diseases in a ClassⅢ Grade A hospital is low. The age, education level, place of residence, and the number of tools for accessing health information online are the influencing factors. Key words: eHealth literacy; Health education; Internet; Respiratory inpatients

The social web: A new communication medium and scientific evaluation tool

The term Web 2.0 describes World Wide Web sites that emphasize user-generated content, usability, and interoperability. It was popularized by Tim O’Reilly and Dale Dougherty at the O’Reilly Media Web 2.0 Conference in late 2004, though it was coined by Darcy DiNucci in 1999. An important part of Web 2.0 is the Social web, consisting of a number of online tools and platforms where people share their perspectives, opinions, thoughts and experiences. Nowadays, the Social Web is highly accepted in the general population, and it can be regarded as an imperative communication tool; yet scientific community remains reluctant to exploit its potential. A recent study showed that the adoption of the social Web by 1517 highly cited scientist is very low, being LinkedIn the most popular. In a survey conducted by Nature in 2014 with 3509 respondents, more than 88% of scientists and engineers said that they were aware of Google+ and Twitter with little difference between countries, but still only 15% visited those sites regularly. In this work, we present the main Web 2.0 tools in the context of communication medical physics and scientific research. Furthermore, we analyze its potential value as a scientific evaluation tool by introducing the concept of altmetrics.

Exploring the relationships between web accessibility, web traffic, and university rankings: a case study of Jordanian universities

Most statistics state that disabled people constitute approximately 20% of the world population; therefore, webmasters should consider this part of the world population when they design and implement their websites by following the web content accessibility guidelines. This paper aims to explore the relationships between web accessibility, web traffic (web), and university rankings using the metrics of 27 Jordanian university websites as a case study. Objective evaluations on the web accessibility, web traffic (website popularity), and university rankings of 27 Jordanian university websites are conducted using a number of online tools. An extensive analysis of the tool outputs is presented, and the relationships of these tool outputs are explored. This study represents a longitudinal overview of the accessibility of Jordanian university websites and re-explores the different relationships between web accessibility, web traffic, and university rankings, as well as the differences between the accessibility of private and public Jordanian universities. This paper explores the relationships between three parameters: accessibility, web traffic, and university rankings. Therefore, its scope is larger than earlier publications.

Abstract 5475: Interrogation of NCI-60 patterns of growth inhibition in conjunction with investigational oncology agents kinase profiling for the elucidation of mechanistic targets

Abstract As oncology treatment moves toward personalized targeted therapeutic agents, the NCI-60 human tumor cell line panel is an ideal community-wide tool to further understanding of the disease and molecular targets of new agents. The panel includes cell lines from nine tumor types, and is extremely well characterized at the molecular level, enabling interrogation of patterns of growth inhibition by a set of targeted investigational oncology agents looking for characteristics of the cell lines that determine sensitivity. We have used a number of online tools to enable data analysis, including COMPARE (http://dtp.nci.nih.gov/compare/), which provided the identification of compounds and/or genes that have highly correlated response patterns for any selected ‘seed’ compound. These data enable comparisons between drug sensitivity profiles that lead to the elucidation of common mechanistic targets or pathways, associations with potential response biomarkers, the confirmation of mechanism of action or identification of novel mechanisms, and the uncovering of unexpected “off-target” activities. For example, using the allosteric Akt inhibitor MK-2206 as the seed compound, response patterns for the ATP-competitive Akt inhibitors PF-4173640 (0.84), GDC-0068 (0.80), AZD-5363 (0.83), GSK-690693 (0.67), and CCT-128930 (0.69) are highly correlated. In addition, examination of the response profile for vandetinib produced a set of highly correlative agents including the corresponding EGFR inhibitors sapatinib (0.81) and AEE-788 (0.83), as well as the recently FDA-approved BTK inhibitor, ibrutinib (0.72) and the SRC inhibitor, AZD-0530 (0.74). Not surprisingly, kinase profiling of these 5 agents (0.5 uM) showed >90% inhibition of EGFR in all cases. In a third example, the BRAF V600E mutated cell lines were found to be sensitive to the bcr-abl inhibitors bafetinib and rebastinib, similarly to vemurafenib. This association suggested BRAF inhibitory activity for the former agents, which was confirmed through kinase profiling. Moreover, the NCI-60 response pattern for the androgen receptor modulator AZD-3514 has a high correlation with the BET bromodomain inhibitors JQ-1 (0.77), I-Bet-151 (0.80), and I-Bet-762 (0.78), suggesting a commonality of target/pathway for these compounds. Further correlations, associations and hypotheses generated from interrogating the compound response patterns, gene expression profiles, mutations and other characteristics will be presented. Funded by NCI Contract No. HHSN261200800001E. Citation Format: Joel Morris, Mark Kunkel, Eric Polley, Susan Holbeck, Anne Monks, David Evans, Annamaria Rapisarda, Jerry Collins, Beverly Teicher. Interrogation of NCI-60 patterns of growth inhibition in conjunction with investigational oncology agents kinase profiling for the elucidation of mechanistic targets. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5475. doi:10.1158/1538-7445.AM2014-5475

Abstract A102: NCI-60 response profiles of >400 investigational oncology agents: A resource enabling drug and biomarker discovery.

Abstract We have acquired >400 investigational oncology agents, comprised primarily of targeted small molecules currently in clinical and/or preclinical anticancer studies. As oncology treatment moves toward personalized targeted therapeutic agents, the NCI-60 human tumor cell line panel is an ideal community-wide tool to further understanding of the disease targets of new agents. The panel includes cell lines from nine tumor types, and is extremely well characterized at the molecular level, with both in-house and crowd-sourced characterization, including exome sequence for mutations, SNPs, DNA methylation, metabolome, mRNA, microRNA, and protein expression. This molecular characterization dataset enables interrogation of patterns of growth inhibition by the investigational drug set looking for characteristics of the cell lines that determine sensitivity. More than 150,000 small molecules, including all (> 100) FDA-approved anticancer drugs and now our acquired set of 400 investigational oncology agents have been screened against the panel for their effects on cell growth. We have used a number of online tools to enable data analysis for this set, including COMPARE (http://dtp.nci.nih.gov/compare/), which provided for the identification of compounds and/or genes that have highly correlated response patterns for any selected ‘seed’ compound. This presentation provides the first public disclosure of the NCI-60 data for this set of novel, targeted, investigational oncology agents. We anticipate that these data will enable comparison between drug sensitivity profiles that could lead to the elucidation of common mechanistic targets or pathways, associations with potential response biomarkers, the confirmation of mechanism of action or identification of novel mechanisms, and the uncovering of unexpected "off-target" activities. For example, Akt, pI3K, PDK, and mTOR inhibitors, multiple agents targeting one signaling pathway, display strong correlations with one another. Using the allosteric Akt inhibitor MK-2206 as the seed compound, response patterns for the ATP-competitive Akt inhibitors PF-4173640 (0.84), GDC-0068 (0.80), AZD-5363 (0.83), GSK-690693 (0.67), and CCT-128930 (0.69) are highly correlative. Moreover, the NCI-60 response pattern for the androgen receptor modulator AZD-3514 has a 0.77 correlation with the BET bromodomain inhibitor JQ-1, suggesting a commonality of target/pathway for these compounds. Further correlations, associations and hypotheses generated from interrogating the compound response patterns, gene expression profiles, mutations and other characteristics will be presented. Funded by NCI Contract No. HHSN261200800001E. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):A102. Citation Format: Joel Morris, Mark Kunkel, Eric Polley, Susan Holbeck, Kazimierz Wrzeszczynski, Anne Monks, David Evans, Annamaria Rapisarda, Jerry Collins, Beverly A. Teicher. NCI-60 response profiles of >400 investigational oncology agents: A resource enabling drug and biomarker discovery. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr A102.

LibSBGN: current status and future plans

AbstractLibSBGN is a community project started in 2009: it aims at facilitating the development of SBGN-compliant tools, and improving interoperability between these tools.These goals will be achieved by defining a standardized electronic implementation of the Systems Biology Graphical Notation: an XML-based file format (SBGN-ML), complemented by a software library (LibSBGN).The project is organized around a number of online tools, which allow the community to discuss problems, share ideas, and formalize solutions.Current versions of SBGN-ML and LibSBGN have already been adopted by three different SBGN-compliant tools. The first official release of SBGN-ML is imminent.For more information:http://libsbgn.sourceforge.net

Research Collaboration Tools: A Resource Guide for Medical Librarians

As medical research becomes an increasingly complex process that often includes some form of collaboration, a number of online tools have emerged to help meet this need. This column aims to search broadly across a number of these resources and organize the findings into a list of examples tailored to the interests of medical librarians. Specific attention is paid to organizing resources into broad categories and examining why they may be of importance to libraries. A few detailed examples of tools currently in use are also provided.

Hmrbase: a database of hormones and their receptors

BackgroundHormones are signaling molecules that play vital roles in various life processes, like growth and differentiation, physiology, and reproduction. These molecules are mostly secreted by endocrine glands, and transported to target organs through the bloodstream. Deficient, or excessive, levels of hormones are associated with several diseases such as cancer, osteoporosis, diabetes etc. Thus, it is important to collect and compile information about hormones and their receptors.DescriptionThis manuscript describes a database called Hmrbase which has been developed for managing information about hormones and their receptors. It is a highly curated database for which information has been collected from the literature and the public databases. The current version of Hmrbase contains comprehensive information about ~2000 hormones, e.g., about their function, source organism, receptors, mature sequences, structures etc. Hmrbase also contains information about ~3000 hormone receptors, in terms of amino acid sequences, subcellular localizations, ligands, and post-translational modifications etc. One of the major features of this database is that it provides data about ~4100 hormone-receptor pairs. A number of online tools have been integrated into the database, to provide the facilities like keyword search, structure-based search, mapping of a given peptide(s) on the hormone/receptor sequence, sequence similarity search. This database also provides a number of external links to other resources/databases in order to help in the retrieving of further related information.ConclusionOwing to the high impact of endocrine research in the biomedical sciences, the Hmrbase could become a leading data portal for researchers. The salient features of Hmrbase are hormone-receptor pair-related information, mapping of peptide stretches on the protein sequences of hormones and receptors, Pfam domain annotations, categorical browsing options, online data submission, DrugPedia linkage etc. Hmrbase is available online for public from .

‘Blended’ education and the transformation of teachers: a long‐term case study in postgraduate UK Higher Education

AbstractThis paper discusses the role of blended learning in teacher education on a Master's programme at Manchester University. Blended learning is the bringing together of traditional physical classes with elements of virtual education. The paper focuses on one particular module of the degree and attempts to capture students’ experiences of using a number of online tools. As our students are primarily in‐service teachers, this experience is particularly relevant and equips them to make use of educational technology in the language classroom. Some comparisons are also made with a cohort of teachers studying the programme at a distance. The paper explores a range of issues that currently feature in the adult education literature, namely, deep and surface learning, communities of practice, and the importance of educational dialogue. The paper illustrates how important the blended nature of this module is for the teachers to get a balanced programme that upgrades skills and knowledge, but which also enables them to reflect on past and future practice. A transformative education scale is used to show that teachers can be transformed. The paper is a case study that makes use of data that explore the student perspective on a series of research questions.