Read by QxMD icon Read

Crowd source

Kristin Baltrusaitis, John S Brownstein, Samuel V Scarpino, Eric Bakota, Adam W Crawley, Giuseppe Conidi, Julia Gunn, Josh Gray, Anna Zink, Mauricio Santillana
BACKGROUND: Influenza causes an estimated 3000 to 50,000 deaths per year in the United States of America (US). Timely and representative data can help local, state, and national public health officials monitor and respond to outbreaks of seasonal influenza. Data from cloud-based electronic health records (EHR) and crowd-sourced influenza surveillance systems have the potential to provide complementary, near real-time estimates of influenza activity. The objectives of this paper are to compare two novel influenza-tracking systems with three traditional healthcare-based influenza surveillance systems at four spatial resolutions: national, regional, state, and city, and to determine the minimum number of participants in these systems required to produce influenza activity estimates that resemble the historical trends recorded by traditional surveillance systems...
August 15, 2018: BMC Infectious Diseases
Sina Taghvaee, Mohammad H Sowlat, Mohammad Sadegh Hassanvand, Masud Yunesian, Kazem Naddafi, Constantinos Sioutas
In this study, source-specific cancer risk characterization of ambient PM2.5 -bound polycyclic aromatic hydrocarbons (PAHs) was performed in central Tehran. The positive matrix factorization (PMF) model was applied for source apportionment of PAHs in the area from May 2012 through May 2013. The PMF runs were carried out using chemically analyzed PAHs mass concentrations. Five factors were identified as the major sources of airborne PAHs in central Tehran, including petrogenic sources and petroleum residue, natural gas and biomass burning, industrial emissions, diesel exhaust emissions, and gasoline exhaust emissions, with approximately similar contributions of around 20% to total PAHs concentration from each factor...
August 11, 2018: Environment International
Levin Kuhlmann, Philippa Karoly, Dean R Freestone, Benjamin H Brinkmann, Andriy Temko, Alexandre Barachant, Feng Li, Gilberto Titericz, Brian W Lang, Daniel Lavery, Kelly Roman, Derek Broadhead, Scott Dobson, Gareth Jones, Qingnan Tang, Irina Ivanenko, Oleg Panichev, Timothée Proix, Michal Náhlík, Daniel B Grunberg, Chip Reuben, Gregory Worrell, Brian Litt, David T J Liley, David B Grayden, Mark J Cook
Accurate seizure prediction will transform epilepsy management by offering warnings to patients or triggering interventions. However, state-of-the-art algorithm design relies on accessing adequate long-term data. Crowd-sourcing ecosystems leverage quality data to enable cost-effective, rapid development of predictive algorithms. A crowd-sourcing ecosystem for seizure prediction is presented involving an international competition, a follow-up held-out data evaluation, and an online platform, Epilepsyecosystem...
August 8, 2018: Brain: a Journal of Neurology
Laura Teichmann, Henriette Kümmel, Bianca Warmbold, Erhard Bremer
The accumulation of compatible solutes is a common defense of bacteria against the detrimental effects of high osmolarity. Uptake systems for these compounds are cornerstones in cellular osmostress responses because they allow the energy preserving scavenging of osmostress protectants from environmental sources. Bacillus subtilis is well studied with respect to the import of compatible solutes and its five transport systems (OpuA, OpuB, OpuC, OpuD, OpuE) for these stress protectants have previously been comprehensively studied...
August 10, 2018: Applied and Environmental Microbiology
Martin Seehuus, Wilfred Pigeon
OBJECTIVE: Distress and dysfunction in sleep and sex are both very common, and have been found to be separately related to anxiety, depression, and stress. Even so, and despite evidence linking obstructive sleep apnea and erectile disfunction, the connections between sleep and sex are largely understudied. METHOD: A large (N = 703) survey of people in the United States between 18 and 65 years old was conducted using Mechanical Turk, an on-line crowd-sourcing platform...
September 2018: Journal of Psychosomatic Research
John R Cooley, Nidia Arguedas, Elias Bonaros, Gerry Bunker, Stephen M Chiswell, Annette DeGiovine, Marten Edwards, Diane Hassanieh, Diler Haji, John Knox, Gene Kritsky, Carolyn Mills, Dan Mozgai, Roy Troutman, John Zyla, Hiroki Hasegawa, Teiji Sota, Jin Yoshimura, Chris Simon
The periodical cicadas of North America ( Magicicada spp.) are well-known for their long life cycles of 13 and 17 years and their mass synchronized emergences. Although periodical cicada life cycles are relatively strict, the biogeographic patterns of periodical cicada broods, or year-classes, indicate that they must undergo some degree of life cycle switching. We present a new map of periodical cicada Brood V, which emerged in 2016, and demonstrate that it consists of at least four distinct parts that span an area in the United States stretching from Ohio to Long Island...
2018: PeerJ
Maryam Nasirian, Samira Hosseini Hooshyar, Ali Akbar Haghdoost, Mohammad Karamouzian
BACKGROUND: Reliable population-based data on sexually transmitted infections (STI) are limited in Iran and self-reporting remains the main source of indirect estimation of STI-associated symptoms in the country. However, where and how the questions are asked could influence the rate of self-reporting. In the present study, we aimed to assess what questionnaire delivery method (ie, face-to-face interview [FTFI], self-administered questionnaire [SAQ], or audio self-administered questionnaire [Audio-SAQ]) and setting (ie, street, household or hair salon) leads to more reliable estimates for the prevalence of self-reported STI-associated symptoms...
March 5, 2018: International Journal of Health Policy and Management
Michael D Lee
Human behavioral data often show patterns of sudden change over time. Sometimes the causes of these step changes are internal, such as learning curves changing abruptly when a learner implements a new rule. Sometimes the cause is external, such as people's opinions about a topic changing in response to a new relevant event. Detecting change points in sequences of binary data is a basic statistical problem with many existing solutions, but these solutions rarely seem to be used in psychological modeling. We develop a simple and flexible Bayesian approach to modeling step changes in cognition, implemented as a graphical model in JAGS...
July 31, 2018: Behavior Research Methods
Ting Ma, Rui Lu, Na Zhao, Shih-Lung Shaw
The rapidly developing economy and growing urbanization in China have created the largest rural-to-urban migration in human history. Thus, a comprehensive understanding of the pattern of rural flight and its prevalence and magnitude over the country is increasingly important for sociological and political concerns. Because of the limited availability of internal migration data, which was derived previously from the decennial population census and small-scale household survey, we could not obtain timely and consistent observations for rural depopulation dynamics across the whole country...
2018: PloS One
Radu Tanase, Claudio J Tessone, René Algesheimer
Identifying individuals who are influential in diffusing information, ideas or products in a population remains a challenging problem. Most extant work can be abstracted by a process in which researchers first decide which features describe an influencer and then identify them as the individuals with the highest values of these features. This makes the identification dependent on the relevance of the selected features and it still remains uncertain if triggering the identified influencers leads to a behavioral change in others...
2018: PloS One
Ana Jovicevic, Svetlana Ristic, Vera Mandic, Dragana Jovicevic, Tatjana Rajovic, Suzana Stojanovic-Rundic, Tatjana Pekmezovic
PURPOSE: To assess the motivation and barrier factors influencing participation of women in opportunistic breast cancer screening in Belgrade, Serbia, and to detect changes in these factors over time. METHODS: A cross-sectional study has been carried out at the Institute for Oncology and Radiology of Serbia in 2009 and 2016 among women aged 40 to 69 years from Belgrade who came at the Institute for opportunistic breast cancer screening. The demographic characteristics, data regarding breast exams practices, screening motivators and barriers and sources of information on breast cancer were collected by self-administered questionnaire...
May 2018: Journal of B.U.ON.: Official Journal of the Balkan Union of Oncology
Christian Starzynski, Alexander Gutschalk
Disappearance of a voice or other sound source may often go unnoticed when the auditory scene is crowded. We explored the role of selective attention for this change deafness with magnetoencephalography in multi-speaker scenes. Each scene was presented two times in direct succession, and one target speaker was frequently omitted in Scene 2. When listeners were previously cued to the target speaker, activity in auditory cortex time locked to the target speaker's sound envelope was selectively enhanced in Scene 1, as was determined by a cross-correlation analysis...
July 12, 2018: Human Brain Mapping
Eric Heim, Alexander Seitel, Fabian Isensee, Jonas Andrulis, Christian Stock, Tobias Ross, Lena Maier-Hein
With the rapidly increasing interest in machine learning based solutions for automatic image annotation, the availability of reference annotations for algorithm training is one of the major bottlenecks in the field. Crowdsourcing has evolved as a valuable option for low-cost and large-scale data annotation; however, quality control remains a major issue which needs to be addressed. To our knowledge, we are the first to analyze the annotation process to improve crowd-sourced image segmentation. Our method involves training a regressor to estimate the quality of a segmentation from the annotator's clickstream data...
November 27, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
Hanyuan Zhang, Carole Henry, Christopher S Anderson, Aitor Nogales, Marta L DeDiego, Joseph Bucukovski, Luis Martinez-Sobrido, Patrick C Wilson, David J Topham, Benjamin L Miller
Rapid changes in influenza A virus (IAV) antigenicity create challenges in surveillance, disease diagnosis, and vaccine development. Further, serological methods for studying antigenic properties of influenza viruses often rely on animal models and therefore may not fully reflect the dynamics of human immunity. We hypothesized that arrays of human monoclonal antibodies (hmAbs) to influenza could be employed in a pattern-recognition approach to expedite IAV serology and to study the antigenic evolution of newly emerging viruses...
July 20, 2018: Analytical Chemistry
R Chukwu-Lobelu, A Appukuttan, D S Edwards, H D L Patel
In July 2005, four suicide bombers detonated explosive improvised high explosive devices (IEDs) in three separate underground carriages and a double decker bus in London, resulting in 56 deaths and 775 injured. This study aims to understand the mechanisms and patterns of burn injuries from high explosives, and the related factors that determine mortality. The types and patterns of burn injuries in survivors and fatalities in the confined underground train carriages and the bus were analysed, evaluating injury severity score and the victims' relative position from the detonation point...
December 31, 2017: Annals of Burns and Fire Disasters
Lívia Castro Degrossi, João Porto de Albuquerque, Roberto Dos Santos Rocha, Alexander Zipf
The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non-experts. In this work, we propose a taxonomy of methods for assessing the quality of CGI when no reference data are available, which is likely to be the most common situation in practice. Our taxonomy includes 11 quality assessment methods that were identified by means of a systematic literature review...
April 2018: Transactions in GIS: TG
Sven Schiermeier, Sandra Frisenda, Joscha Reinhard, Timoleon Dagres, Karl-Günter Noé, Silvia Lobmaier, Karl T M Schneider, Martin Daumer
INTRODUCTION: The rate of Caesarean section has dramatically increased in recent decades. Foetal scalp blood sampling and computer software analysing foetal heart rate detection should help in the decision-making for or against Caesarean section. The main aim of this study was to examine how these 2 factors influence the Caesarean section rate. METHODS: A national survey of all maternity units in Germany was undertaken using a self-reported questionnaire via crowd sourcing...
June 2018: Zeitschrift Für Geburtshilfe und Neonatologie
Sudeep Bhatia, Neil Stewart
We study how people evaluate and aggregate the attributes of naturalistic choice objects, such as movies and food items. Our approach applies theories of object representation in semantic memory research to large-scale crowd-sourced data, to recover multiattribute representations for common choice objects. We then use standard choice experiments to test the predictive power of various decision rules for weighting and aggregating these multiattribute representations. Our experiments yield three novel conclusions: 1...
October 2018: Cognition
Evan B Goldstein, Elsemarie V Mullins, Laura J Moore, Reuben G Biel, Joseph K Brown, Sally D Hacker, Katya R Jay, Rebecca S Mostow, Peter Ruggiero, Julie C Zinnert
Previous work on the US Atlantic coast has generally shown that coastal foredunes are dominated by two dune grass species, Ammophila breviligulata (American beachgrass) and Uniola paniculata (sea oats). From Virginia northward, A. breviligulata dominates, while U. paniculata is the dominant grass south of Virginia. Previous work suggests that these grasses influence the shape of coastal foredunes in species-specific ways, and that they respond differently to environmental stressors; thus, it is important to know which species dominates a given dune system...
2018: PeerJ
Andrea C Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A Khan, Reid Robson, Ba' Pham, Graeme Hirst, Sharon E Straus
BACKGROUND: A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products. METHODS: Our specific research questions were (1) What social media listening platforms exist to detect adverse events related to health products, and what are their capabilities and characteristics? (2) What is the validity and reliability of data from social media for detecting these adverse events? MEDLINE, EMBASE, Cochrane Library, and relevant websites were searched from inception to May 2016...
June 14, 2018: BMC Medical Informatics and Decision Making
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"