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https://www.readbyqxmd.com/read/29734611/application-of-a-weight-of-evidence-approach-to-evaluating-risks-associated-with-subsistence-caribou-consumption-near-a-lead-zinc-mine
#1
Michael R Garry, Scott S Shock, Johanna Salatas, Jim Dau
Overland transport of ore concentrate from the Red Dog lead/zinc mine in northwest Alaska to its seaport has historically raised concerns among local subsistence users regarding the potential impacts of fugitive dust from the operation, including the potential uptake of metals into caribou meat. Caribou are an integral part of life for northern Alaska Natives for both subsistence and cultural reasons. The Western Arctic caribou herd, whose range includes the Red Dog mine, transportation corridor, and port site, sometimes overwinter in the vicinity of mine operations...
April 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29674789/a-survey-of-atmospheric-monitoring-systems-in-u-s-underground-coal-mines
#2
J H Rowland, S P Harteis, L Yuan
In 1995 and 2003, the U.S. Mine Safety and Health Administration (MSHA) conducted surveys to determine the number of atmospheric monitoring systems (AMS) that were being used in underground coal mines in the United States. The survey reports gave data for the different AMS manufacturers, the different types of equipment monitored, and the different types of gas sensors and their locations. Since the last survey in 2003, MSHA has changed the regulation requirements for early fire detection along belt haulage entries...
February 2018: Mining Engineering
https://www.readbyqxmd.com/read/29652932/analysis-of-length-of-hospital-stay-using-electronic-health-records-a-statistical-and-data-mining-approach
#3
Hyunyoung Baek, Minsu Cho, Seok Kim, Hee Hwang, Minseok Song, Sooyoung Yoo
BACKGROUND: The length of stay (LOS) is an important indicator of the efficiency of hospital management. Reduction in the number of inpatient days results in decreased risk of infection and medication side effects, improvement in the quality of treatment, and increased hospital profit with more efficient bed management. The purpose of this study was to determine which factors are associated with length of hospital stay, based on electronic health records, in order to manage hospital stay more efficiently...
2018: PloS One
https://www.readbyqxmd.com/read/29610270/targeted-proteomics-guided-by-label-free-global-proteome-analysis-in-saliva-reveal-transition-signatures-from-health-to-periodontal-disease
#4
Nagihan Bostanci, Nathalie Selevsek, Witold Wolski, Jonas Grossmann, Kai Bao, Asa Wahlander, Christian Trachsel, Ralph Schlapbach, Veli Özgen Özturk, Beral Afacan, Gulnur Emingil, Georgios N Belibasakis
Periodontal diseases are among the most prevalent worldwide, but largely silent, chronic diseases. They affect the tooth-supporting tissues with multiple ramifications on life quality. Their early diagnosis is still challenging, due to lack of appropriate molecular diagnostic methods. Saliva offers a non-invasively collectable reservoir of clinically relevant biomarkers, which, if utilized efficiently, could facilitate early diagnosis and monitoring of ongoing disease. Despite several novel protein markers being recently enlisted by discovery proteomics, their routine diagnostic application is hampered by the lack of validation platforms that allow for rapid, accurate and simultaneous quantification of multiple proteins in large cohorts...
April 2, 2018: Molecular & Cellular Proteomics: MCP
https://www.readbyqxmd.com/read/29416567/involvement-of-gut-microbiome-in-human-health-and-disease-brief-overview-knowledge-gaps-and-research-opportunities
#5
REVIEW
Dachao Liang, Ross Ka-Kit Leung, Wenda Guan, William W Au
The commensal, symbiotic, and pathogenic microbial community which resides inside our body and on our skin (the human microbiome) can perturb host energy metabolism and immunity, and thus significantly influence development of a variety of human diseases. Therefore, the field has attracted unprecedented attention in the last decade. Although a large amount of data has been generated, there are still many unanswered questions and no universal agreements on how microbiome affects human health have been agreed upon...
2018: Gut Pathogens
https://www.readbyqxmd.com/read/29385611/big-data-analytics-and-precision-animal-agriculture-symposium-machine-learning-and-data-mining-advance-predictive-big-data-analysis-in-precision-animal-agriculture
#6
Gota Morota, Ricardo V Ventura, Fabyano F Silva, Masanori Koyama, Samodha C Fernando
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the use of tools to routinely monitor and collect information from animals and farms in a less laborious manner than before. These efforts have enabled the animal sciences to embark on information technology-driven discoveries to improve animal agriculture. However, the growing amount and complexity of data generated by fully automated, high-throughput data recording or phenotyping platforms, including digital images, sensor and sound data, unmanned systems, and information obtained from real-time noninvasive computer vision, pose challenges to the successful implementation of precision animal agriculture...
April 14, 2018: Journal of Animal Science
https://www.readbyqxmd.com/read/29353698/seasonal-pattern-of-anthropogenic-salinization-in-temperate-forested-headwater-streams
#7
Anthony J Timpano, Carl E Zipper, David J Soucek, Stephen H Schoenholtz
Salinization of freshwaters by human activities is of growing concern globally. Consequences of salt pollution include adverse effects to aquatic biodiversity, ecosystem function, human health, and ecosystem services. In headwater streams of the temperate forests of eastern USA, elevated specific conductance (SC), a surrogate measurement for the major dissolved ions composing salinity, has been linked to decreased diversity of aquatic insects. However, such linkages have typically been based on limited numbers of SC measurements that do not quantify intra-annual variation...
April 15, 2018: Water Research
https://www.readbyqxmd.com/read/29351254/bridge-structure-deformation-prediction-based-on-gnss-data-using-kalman-arima-garch-model
#8
Jingzhou Xin, Jianting Zhou, Simon X Yang, Xiaoqing Li, Yu Wang
Bridges are an essential part of the ground transportation system. Health monitoring is fundamentally important for the safety and service life of bridges. A large amount of structural information is obtained from various sensors using sensing technology, and the data processing has become a challenging issue. To improve the prediction accuracy of bridge structure deformation based on data mining and to accurately evaluate the time-varying characteristics of bridge structure performance evolution, this paper proposes a new method for bridge structure deformation prediction, which integrates the Kalman filter, autoregressive integrated moving average model (ARIMA), and generalized autoregressive conditional heteroskedasticity (GARCH)...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29321918/reproductive-management-in-dairy-cows-the-future
#9
REVIEW
Mark A Crowe, Miel Hostens, Geert Opsomer
Background: Drivers of change in dairy herd health management include the significant increase in herd/farm size, quota removal (within Europe) and the increase in technologies to aid in dairy cow reproductive management. Main body: There are a number of key areas for improving fertility management these include: i) handling of substantial volumes of data, ii) genetic selection (including improved phenotypes for use in breeding programmes), iii) nutritional management (including transition cow management), iv) control of infectious disease, v) reproductive management (and automated systems to improve reproductive management), vi) ovulation / oestrous synchronisation, vii) rapid diagnostics of reproductive status, and viii) management of male fertility...
2018: Irish Veterinary Journal
https://www.readbyqxmd.com/read/29300701/speech2health-a-mobile-framework-for-monitoring-dietary-composition-from-spoken-data
#10
Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervention studies, however, stringent monitoring of overall dietary composition and energy intake is needed. Currently, such a monitoring relies on self-reported data by either entering text or taking an image that represents food intake. These approaches suffer from limitations such as low adherence in technology adoption and time sensitivity to the diet intake context...
January 2018: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29298748/from-ehealth-to-ihealth-transition-to-participatory-and-personalized-medicine-in-mental-health
#11
Sofian Berrouiguet, Mercedes M Perez-Rodriguez, Mark Larsen, Enrique Baca-García, Philippe Courtet, Maria Oquendo
Clinical assessment in psychiatry is commonly based on findings from brief, regularly scheduled in-person appointments. Although critically important, this approach reduces assessment to cross-sectional observations that miss essential information about disease course. The mental health provider makes all medical decisions based on this limited information. Thanks to recent technological advances such as mobile phones and other personal devices, electronic health (eHealth) data collection strategies now can provide access to real-time patient self-report data during the interval between visits...
January 3, 2018: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29276807/dave-detecting-agitated-vocal-events
#12
Asif Salekin, Hongning Wang, Kristine Williams, John Stankovic
DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining acoustic signal processing with three different text mining paradigms to detect verbal events (asking for help, verbal sexual advances, and questions) which need both lexical content and acoustic variations to produce accurate results. To detect cursing and talking with repetitive sentences we extend word sense disambiguation and sequential pattern mining algorithms...
July 2017: ...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies
https://www.readbyqxmd.com/read/29181235/systematic-review-of-data-mining-applications-in-patient-centered-mobile-based-information-systems
#13
Mina Fallah, Sharareh R Niakan Kalhori
Objectives: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients' needs at subgroup and individual levels. This study reviewed the current literature regarding data mining applications in patient-centered mobile-based information systems. Methods: We systematically searched PubMed, Scopus, and Web of Science for original studies reported from 2014 to 2016...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29124637/large-scale-geographic-patterns-of-mercury-contamination-in-morocco-revealed-by-freshwater-turtles
#14
Tahar Slimani, Mohamed Said El Hassani, El Hassan El Mouden, Marine Bonnet, Paco Bustamante, François Brischoux, Maud Brault-Favrou, Xavier Bonnet
Mercury (Hg) is a toxic contaminant present in most aquatic ecosystems. High concentrations pose serious threats to organisms and to human health. Because previous studies focused on few countries, environmental hazard due to Hg contamination remains obscure in many geographic areas, and for example limited information is available in North Africa. We examined total Hg contamination in 13 sites in Morocco (12 rivers and one lake) spread over a large area, 400 km north-south and 350 km west-east, that encompasses different biogeographic zones separated by the Atlas Mountains...
January 2018: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29089287/scaling-up-research-on-drug-abuse-and-addiction-through-social-media-big-data
#15
Sunny Jung Kim, Lisa A Marsch, Jeffrey T Hancock, Amarendra K Das
BACKGROUND: Substance use-related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use-related communications on social media are largely unknown...
October 31, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29068748/recommendation-system-for-immunization-coverage-and-monitoring
#16
Uzair Aslam Bhatti, Mengxing Huang, Hao Wang, Yu Zhang, Anum Mehmood, Wu Di
Immunization averts an expected 2 to 3 million deaths every year from diphtheria, tetanus, pertussis (whooping cough), and measles; however, an additional 1.5 million deaths could be avoided if vaccination coverage was improved worldwide. 1 1 Data source for immunization records of 1.5 M: http://www.who.int/mediacentre/factsheets/fs378/en/ New vaccination technologies provide earlier diagnoses, personalized treatments and a wide range of other benefits for both patients and health care professionals. Childhood diseases that were commonplace less than a generation ago have become rare because of vaccines...
January 2, 2018: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29060497/recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-network
#17
Ali H Al-Fatlawi, Hayder K Fatlawi, Sai Ho Ling
Daily physical activities monitoring is benefiting the health care field in several ways, in particular with the development of the wearable sensors. This paper adopts effective ways to calculate the optimal number of the necessary sensors and to build a reliable and a high accuracy monitoring system. Three data mining algorithms, namely Decision Tree, Random Forest and PART Algorithm, have been applied for the sensors selection process. Furthermore, the deep belief network (DBN) has been investigated to recognise 33 physical activities effectively...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060424/combination-of-static-and-temporal-data-analysis-to-predict-mortality-and-readmission-in-the-intensive-care
#18
Janani Venugopalan, Nikhil Chanani, Kevin Maher, May D Wang
There are approximately 4 million intensive care unit (ICU) admissions each year in the United States with costs accounting for 4.1% of national health expenditures. Unforeseen adverse events contribute disproportionately to these costs. Thus, there has been substantial research in developing clinical decision support systems to predict and improve ICU outcomes such as ICU mortality, prolonged length of stay, and ICU readmission. However, the data in the ICU is collected at diverse time intervals and includes both static and temporal data...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29051449/do-16-polycyclic-aromatic-hydrocarbons-represent-pah-air-toxicity
#19
Vera Samburova, Barbara Zielinska, Andrey Khlystov
Estimation of carcinogenic potency based on analysis of 16 polycyclic aromatic hydrocarbons (PAHs) ranked by U.S. Environmental Protection Agency (EPA) is the most popular approach within scientific and environmental air quality management communities. The majority of PAH monitoring projects have been focused on particle-bound PAHs, ignoring the contribution of gas-phase PAHs to the toxicity of PAH mixtures in air samples. In this study, we analyzed the results of 13 projects in which 88 PAHs in both gas and particle phases were collected from different sources (biomass burning, mining operation, and vehicle emissions), as well as in urban air...
August 15, 2017: Toxics
https://www.readbyqxmd.com/read/29036859/from-awareness-to-action-sudbury-mining-and-occupational-disease-in-a-time-of-change
#20
Desre M Kramer, D Linn Holness, Emily Haynes, Keith McMillan, Colin Berriault, Sheila Kalenge, Nancy Lightfoot
BACKGROUND: Miners work in highly hazardous environments, but surprisingly, there are more fatalities from occupational diseases, including cancers, than from fatalities from injuries. Over the last few decades, the mining environment has become safer with fewer injuries and less exposure to the toxins that lead to occupational disease. There have been improvements in working conditions, and a reduction in the number of workers exposed, together with an overall improvement in the health of miners...
2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
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