PubMed Journals Articles About "Voxx Analytics Wins Workplaces Award Third Time" RSS

18:58 EDT 20th September 2018 | BioPortfolio

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Showing "Voxx Analytics Wins Workplaces Award Third Time" PubMed Articles 1–25 of 20,000+

Using democracy to award research funding: an observational study.

Winning funding for health and medical research usually involves a lengthy application process. With success rates under 20%, much of the time spent by 80% of applicants could have been better used on actual research. An alternative funding system that could save time is using democracy to award the most deserving researchers based on votes from the research community. We aimed to pilot how such a system could work and examine some potential biases.

2017 ASHG Awards and Addresses.

Each year at the annual meeting of the American Society of Human Genetics (ASHG), addresses are given in honor of the society and a number of award winners. A summary of each of these is provided below. On the following pages, we have printed the presidential address and the addresses for the William Allan Award, Curt Stern Award, and Victor A. McKusick Leadership Award. Webcasts of these addresses, as well as those of many other presentations, can be found at

Acta Award to Regensburg.

While consuming another solemn sandwich lunch in front of your monitor, why not let your thoughts wander off to a daydream wherein you just won $100,000? This dream just became true for researchers in Regensburg!. For the first time, the recipients of the first-ever Acta Physiologica Award have been selected for the Acta Physiologica Award. Getting there, panning out the biggest nugget, was a challenge and a thrill to every selection committee member. We had a short list of 15 articles, which have been high...

Platform for Automated Real-Time High Performance Analytics on Medical Image Data.

Biomedical data are quickly growing in volume and in variety, providing clinicians an opportunity for better clinical decision support. Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging (MRI) data. We used the Agave application programming interface to facilitate communication, data transfer, and job control between an MRI scanner and an off-site HPC reso...

Rust never sleeps: The continuing story of the Iron Bolt.

Since 1981, Gordon Research Conferences have been held on the topic of Oxygen Radicals on a biennial basis, to highlight and discuss the latest cutting edge research in this area. Since the first meeting, one special feature of this conference has been the awarding of the so-called Iron Bolt, an award that started in jest but has gained increasing reputation over the years. Since no written documentation exists for this Iron Bolt award, this perspective serves to overview the history of this unusual award, ...

Evaluation of a mid-career investigator career development award: Assessing the ability of OppNet K18 awardees to obtain NIH follow-on research funding.

The National Institutes of Health (NIH) K18 award mechanism provides funded opportunities for established investigators to gain knowledge in fields outside of their primary disciplines, but outcomes associated with these awards have not been evaluated to date. NIH's Basic Behavioral and Social Sciences Opportunity Network (OppNet) is one of the few initiatives that has used this award mechanism. We explored how the unique features of K18 awards affect the ability of recipients to obtain follow-on NIH resear...


Slot machines pose serious problems for a subset of gamblers. On multiline slots, many small credit returns are less than one's spin wager, resulting in a net loss to the player. These outcomes are called losses disguised as wins (LDWs). We aimed to show that different proportions of LDWs could differentially affect gambling persistence (continuing to gamble despite financial loss), but that such LDW effects may depend on problem gambling symptomatology.

Big-BOE: Fusing Spanish Official Gazette with Big Data Technology.

The proliferation of new data sources, stemmed from the adoption of open-data schemes, in combination with an increasing computing capacity causes the inception of new type of analytics that process Internet of things with low-cost engines to speed up data processing using parallel computing. In this context, the article presents an initiative, called BIG-Boletín Oficial del Estado (BOE), designed to process the Spanish official government gazette (BOE) with state-of-the-art processing engines, to reduce c...

Peter J. Dunn Award / International Solvay Chair in Chemistry for Gernot Frenking / Max Born Prize for Angel Rubio / Terrae Rarae Prize for Rhett Kempe / Frontiers in Chemical Energy Science Award for Karsten Reuter / And also in the News.

Using Bluetooth proximity sensing to determine where office workers spend time at work.

Most wearable devices that measure movement in workplaces cannot determine the context in which people spend time. This study examined the accuracy of Bluetooth sensing (10-second intervals) via the ActiGraph GT9X Link monitor to determine location in an office setting, using two simple, bespoke algorithms.

Big Data Analytics in Medicine and Healthcare.

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records da...

Effect of Once Weekly Dulaglutide by Baseline Beta-cell Function in People with Type 2 Diabetes in the AWARD Programme.

Glucagon-like peptide-1 receptor agonists lower blood glucose in T2D partially through glucose-dependent stimulation of insulin secretion. The aim of the study was to investigate whether or not beta-cell function (measured by HOMA2-%B) at baseline affects the glycaemic response to dulaglutide. Dulaglutide-treated patients from AWARD-1, AWARD-3 and AWARD-6 clinical studies were categorised based on their homeostatic model assessment of beta-cell function (HOMA2-%B) tertiles. Changes in glycaemic measures in ...

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.

Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 survey, which was influential even beyond the boundaries of the InfoVis and Visual Analytics (VA) community. While the field has matured significantly since the original survey, we find that innovation and research-driven development are increasingly sacrificed to satisfy a wide range of user groups. We evaluate new product v...


I am submitting my introduction of Dr. Kyle Gustafson for the American Society of Parasitologists Ashton Cuckler New Investigator Award I presented at the ASP annual meeting in Cancun Mexico a few months ago.

A visual analytics approach for pattern-recognition in patient-generated data.

To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload.

MJA editor-in-chief Prof Nick Talley wins top honour.

Dust at Various Workplaces-Microbiological and Toxicological Threats.

The aim of the present study was to evaluate the relation between the chemical (analysis of elements and pH) and microbiological composition (culture and metagenomics analysis) of the dust at various workplaces (cement plant, composting plant, poultry farm, and cultivated area) and the cytotoxicity effect on the human adenocarcinoma lung epithelial adherent cell line A-549 (MTT assay test). Analysis of the Particulate Matter (PM) fraction showed that the dust concentration in cultivated areas exceeded the O...

A crossroads in predictive analytics monitoring for clinical medicine.

A new goal for medical informatics is to develop robust tools that integrate clinical data on a patient in order to estimate the risk of imminent adverse events. This new field of predictive analytics monitoring is growing very quickly. Its claims, however, can be vulnerable when clinicians fail to use the best mathematical and statistical tools, when quantitative scientists fail to grasp the nuances of clinical medicine, and when either fails to incorporate knowledge of physiology. Its potential, though is...

Suitability of several naphthalene metabolites for their application in biomonitoring studies.

Naphthalene occurs together with polycyclic aromatic hydrocarbons (PAHs) at industrial workplaces and is ubiquitous in the environment. For biological monitoring of naphthalene exposures, up to now mainly 1- and 2-naphthol in urine have been used. Recently, we proposed 1,2-dihydroxynaphthalene (1,2-DHN) and the 1- and 2-naphthylmercapturic acid (1- and 2-NMA) as new urinary biomarkers to characterise a naphthalene exposure. In this study, in a collective of nine occupationally exposed workers handling with ...

Complex Analyses on Clinical Information Systems Using Restricted Natural Language Querying to Resolve Time-Event Dependencies.

This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an extension to the proposed Clinical Data Analytics Language (CliniDAL).

Associations of Office Workers' Objectively Assessed Occupational Sitting, Standing and Stepping Time with Musculoskeletal Symptoms.

We examined the association of musculoskeletal symptoms (MSS) with workplace sitting, standing and stepping time, as well as sitting and standing time accumulation (i.e., usual bout duration of these activities), measured objectively with the activPAL3 monitor. Using baseline data from the Stand Up Victoria trial (216 office workers, 14 workplaces), cross-sectional associations of occupational activities with self-reported MSS (low-back, upper- and lower-extremity symptoms in the last three months) were exa...

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks.

Deep Q-Network (DQN), as one type of deep reinforcement learning model, targets to train an intelligent agent that acquires optimal actions while interacting with an environment. The model is well known for its ability to surpass professional human players across many Atari 2600 games. Despite the superhuman performance, in-depth understanding of the model and interpreting the sophisticated behaviors of the DQN agent remain to be challenging tasks, due to the long-time model training process and the large n...


Big data are frequently used in many facets of business and agronomy to enhance knowledge needed to improve operational decisions. Livestock operations collect data of sufficient quantity to perform predictive analytics. Predictive analytics can be defined as a methodology and suite of data evaluation techniques to generate a prediction for specific target outcomes. The objective of this manuscript is to describe the process of using big data and the predictive analytic framework to create tools to drive de...

Definitively unfinished: Why the growth mindset is vital for educators and academic workplaces.

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