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https://www.readbyqxmd.com/read/28231301/durability-of-anti-graffiti-coatings-on-stone-natural-vs-accelerated-weathering
#1
Paula M Carmona-Quiroga, Robert M J Jacobs, Sagrario Martínez-Ramírez, Heather A Viles
Extending the use of novel anti-graffiti coatings to built heritage could be of particular interest providing the treatments are efficient enough in facilitating graffiti removal and long-lasting to maintain their protective properties without interfering with the durability of the substrates. However, studies of the durability of these coatings are scarce and have been mainly carried out under accelerated weathering conditions, the most common practice for assessing the durability of materials but one that does not reproduce accurately natural working conditions...
2017: PloS One
https://www.readbyqxmd.com/read/28231161/food-leftover-practices-among-consumers-in-selected-countries-in-europe-south-and-north-america
#2
Kadri Koppel, Federica Higa, Sandria Godwin, Nelson Gutierrez, Roman Shalimov, Paula Cardinal, Brizio Di Donfrancesco, Miriam Sosa, Angel A Carbonell-Barrachina, Loreida Timberg, Edgar Chambers
Foodborne illnesses may be related to many food production factors with home practices of consumers playing an important role in food safety. Consumer behavior for handling food leftovers has been studied, however little work on comparisons among countries has been published. The objective of this study was to investigate home food leftover practices of people from North American, South American, and European countries. Surveys were conducted with approximately 100 or more consumers in Argentina, Colombia, the United States, Estonia, Italy, Russia, and Spain...
September 21, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28229841/-neuroimaging-and-blood-biomarkers-in-functional-prognosis-after-stroke
#3
REVIEW
João Paulo Branco, Joana Santos Costa, João Sargento-Freitas, Sandra Oliveira, Bruno Mendes, Jorge Laíns, João Pinheiro
INTRODUCTION: Stroke remains one of the leading causes of morbidity and mortality around the world and it is associated with an important long-term functional disability. Some neuroimaging resources and certain peripheral blood or cerebrospinal fluid proteins can give important information about etiology, therapeutic approach, follow-up and functional prognosis in acute ischemic stroke patients. However, among the scientific community, there is currently more interest in the stroke vital prognosis over the functional prognosis...
November 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28228457/impact-of-workplace-physical-activity-interventions-on-physical-activity-and-cardiometabolic-health-among-working-age-women-a-systematic-review-and-meta-analysis
#4
Jennifer L Reed, Stephanie A Prince, Cara G Elliott, Kerri-Anne Mullen, Heather E Tulloch, Swapnil Hiremath, Lisa M Cotie, Andrew L Pipe, Robert D Reid
BACKGROUND: Cardiovascular disease is the leading cause of death among women in high-income Organization for Economic Co-operation and Development countries. Physical activity is protective for cardiovascular disease. The realities of modern life require working-age women to address work-related, family, and social demands. Few working-age women meet current moderate-to-vigorous-intensity physical activity (MVPA) recommendations. Given that working-age women spend a substantial proportion of their waking hours at work, places of employment may be an opportune and a controlled setting to implement programs, improving MVPA levels and enhancing cardiometabolic health...
February 2017: Circulation. Cardiovascular Quality and Outcomes
https://www.readbyqxmd.com/read/28228238/spatial-and-temporal-variation-of-particulate-matter-characteristics-within-office-buildings-the-officair-study
#5
Tamás Szigeti, Christina Dunster, Andrea Cattaneo, Andrea Spinazzè, Corinne Mandin, Eline Le Ponner, Eduardo de Oliveira Fernandes, Gabriela Ventura, Dikaia E Saraga, Ioannis A Sakellaris, Yvonne de Kluizenaar, Eric Cornelissen, John G Bartzis, Frank J Kelly
In the frame of the OFFICAIR project, office buildings were investigated across Europe to assess how the office workers are exposed to different particulate matter (PM) characteristics (i.e. PM2.5 mass concentration, particulate oxidative potential (OP) based on ascorbate and reduced glutathione depletion, trace element concentration and total particle number concentration (PNC)) within the buildings. Two offices per building were investigated during the working hours (5 consecutive days; 8h per day) in two campaigns...
February 20, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28228099/impact-of-adding-additional-providers-to-resident-workload-and-the-resident-experience-on-a-medical-consultation-rotation
#6
Michele Fang, Eric Linson, Manish Suneja, Ethan F Kuperman
BACKGROUND: Excellence in Graduate Medical Education requires the right clinical environment with an appropriate workload where residents have enough patients to gain proficiency in medicine with optimal time for reflection. The Accreditation Council for Graduate Medical Education (ACGME) has focused more on work hours rather than workload; however, high resident workload has been associated with lower resident participation in education and fatigue-related errors. Recognizing the potential risks associated with high resident workload and being mindful of the costs of reducing resident workload, we sought to reduce residents' workload by adding an advanced practice provider (APP) to the surgical comanagement service (SCM) and study its effect on resident satisfaction and perceived educational value of the rotation...
February 22, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28228094/sfreemap-a-simulation-free-tool-for-stochastic-mapping
#7
Diego Pasqualin, Marcos Barbeitos, Fabiano Silva
BACKGROUND: Stochastic mapping is frequently used in comparative biology to simulate character evolution, enabling the probabilistic computation of statistics such as number of state transitions along a tree and distribution of states in its internal nodes. Common implementations rely on Continuous-time Markov Chain simulations whose parameters are difficult to adjust and subjected to inherent inaccuracy. Thus, researchers must run a large number of simulations in order to obtain adequate estimates...
February 22, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28227996/a-novel-approach-for-chewing-detection-based-on-a-wearable-ppg-sensor
#8
Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Janet van den Boer, Vasileios Papapanagiotou, Lingchuan Zhou, Anastasios Delopoulos, Monica Mars, Christos Diou
Monitoring of human eating behaviour has been attracting interest over the last few years, as a means to a healthy lifestyle, but also due to its association with serious health conditions, such as eating disorders and obesity. Use of self-reports and other non-automated means of monitoring have been found to be unreliable, compared to the use of wearable sensors. Various modalities have been reported, such as acoustic signal from ear-worn microphones, or signal from wearable strain sensors. In this work, we introduce a new sensor for the task of chewing detection, based on a novel photoplethysmography (PPG) sensor placed on the outer earlobe to perform the task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227950/designing-and-testing-a-wearable-wireless-fnirs-patch
#9
Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Manob Jyoti Saikia, Kunal Mankodiya, Gozde Cay, Mohammadreza Abtahi
Optical brain monitoring using near infrared (NIR) light has got a lot of attention in order to study the complexity of the brain due to several advantages as oppose to other methods such as EEG, fMRI and PET. There are a few commercially available functional NIR spectroscopy (fNIRS) brain monitoring systems, but they are still non-wearable and pose difficulties in scanning the brain while the participants are in motion. In this work, we present our endeavors to design and test a low-cost, wireless fNIRS patch using NIR light sources at wavelengths of 770 and 830nm, photodetectors and a microcontroller to trigger the light sources, read photodetector's output and transfer data wirelessly (via Bluetooth) to a smart-phone...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227876/a-dynamic-data-source-selection-system-for-smartwatch-platform
#10
Ebrahim Nemati, Konstantinos Sideris, Haik Kalantarian, Majid Sarrafzadeh, Ebrahim Nemati, Konstantinos Sideris, Haik Kalantarian, Majid Sarrafzadeh, Haik Kalantarian, Majid Sarrafzadeh, Konstantinos Sideris, Ebrahim Nemati
A novel data source selection algorithm is proposed for ambulatory activity tracking of elderly people. The algorithm introduces the concept of dynamic switching between the data collection modules (a smartwatch and a smartphone) to improve accuracy and battery life using contextual information. We show that by making offloading decisions as a function of activity, the proposed algorithm improves power consumption and accuracy of the previous work by 7 hours and 5% respectively compared to the baseline.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227853/fast-submicrometer-scale-imaging-of-whole-zebrafish-using-the-knife-edge-scanning-microscope
#11
Daniel E Miller, Raj S Shah, Wencong Zhang, Jaewook Yoo, Jaerock Kwon, David Mayerich, John Keyser, Louise C Abbott, Yoonsuck Choe, Daniel E Miller, Raj S Shah, Wencong Zhang, Jaewook Yoo, Jaerock Kwon, David Mayerich, John Keyser, Louise C Abbott, Yoonsuck Choe, Jaewook Yoo, Louise C Abbott, Wencong Zhang, John Keyser, Raj S Shah, Daniel E Miller, Jaerock Kwon, David Mayerich, Yoonsuck Choe
Advances in high-resolution 3D microscopy have enabled the investigation of subcellular microstructures in biological specimen. For a full understanding of the organism's structure and function, it is mandatory to obtain data from the whole animal, not just parts of it. In this paper, we present our work with the Knife-Edge Scanning Microscope (KESM) for imaging a Nissl-stained whole zebrafish larva. KESM combines a diamond microtome and line-scan imaging for simultaneous sectioning and imaging in 3D. We show that using the KESM, a zebrafish, less than 3 mm long and diameter less than 500 μm, can be imaged within 1 hour at a resolution of 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227708/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#12
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Carlo M Noble, Abdul Q Javaid, Mary A Weitnauer, Russell Rosenberg
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227704/comparing-glucose-and-insulin-data-from-the-two-hour-oral-glucose-tolerance-test-in-metabolic-syndrome-subjects-and-marathon-runners
#13
Miguel Altuve, Gilberto Perpinan, Erika Severeyn, Sara Wong, Miguel Altuve, Gilberto Perpinan, Erika Severeyn, Sara Wong, Sara Wong, Gilberto Perpinan, Erika Severeyn
Glucose is the main energy source of the body's cells and is essential for normal metabolism. Two pancreatic hormones, insulin and glucagon, are involved in glucose home-ostasis. Alteration in the plasma glucose and insulin concentrations could lead to distinct symptoms and diseases, ranging from mental function impairment to coma and even death. Type 2 diabetes, insulin resistance and metabolic syndrome are typical examples of abnormal glucose metabolism that increase the risk for cardiovascular disease and mortality...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227598/real-time-physiological-and-facial-monitoring-for-safe-driving
#14
Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang
This work is to develop an intelligent driver-assistance system which can perceive the physiological state of a driver to avoid fatigue driving. The proposed system includes a camera, a wireless ElectroCardioGram (ECG) sensor patch, and a computation platform. The camera in front of a driver is to catch a face image which is processed to obtain features of a mouth for identifying a yawn. The sensor patch records ECG signals which are computed to yield six Heart Rate Variability (HRV) parameters. Seven healthy subjects of 6 males and 1 female had individually driven a car, which was embedded with our system, for 3 hours at a well-known route, mostly in a freeway road...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227322/eeg-based-mental-fatigue-detection-by-spectral-non-negative-matrix-factorization
#15
Lili Li, Guanghua Xu, Jun Xie, Min Li, Sicong Zhang, Ailing Luo, Lili Li, Guanghua Xu, Jun Xie, Min Li, Sicong Zhang, Ailing Luo, Guanghua Xu, Jun Xie, Sicong Zhang, Min Li, Lili Li, Ailing Luo
After long time cognitive work, most of people confronted with the mental fatigue, which can decrease the classification accuracy of cognitive, or even cause the traffic accidents for drivers. Therefore, the detection of the fatigue state is very essential. The study aims to explore an effective and novel approach based on electroencephalogram. All participants were instructed to implement the spelling experiments. Data were recorded on the awake condition, on sleep deprivation condition and after two hour spelling experiment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227289/modeling-volatility-in-heat-rate-variability
#16
Argentina Leite, Maria Eduarda Silva, Ana Paula Rocha, Argentina Leite, Maria Eduarda Silva, Ana Paula Rocha, Argentina Leite, Ana Paula Rocha, Maria Eduarda Silva
Modeling Heart Rate Variability (HRV) data has become important for clinical applications and as a research tool. These data exhibit long memory and time-varying conditional variance (volatility). In HRV, volatility is traditionally estimated by recursive least squares combined with short memory AutoRegressive (AR) models. This work considers a parametric approach based on long memory Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with heteroscedastic errors. To model the heteroscedasticity nonlinear Generalized Autoregressive Conditionally Heteroscedastic (GARCH) and Exponential Generalized Autoregressive Conditionally Heteroscedastic (EGARCH) models are considered...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227275/an-algorithm-for-automatic-detection-of-drowsiness-for-use-in-wearable-eeg-systems
#17
Kwai C A Patrick, Syed Anas Imtiaz, Stuart Bowyer, Esther Rodriguez-Villegas, Kwai C A Patrick, Syed Anas Imtiaz, Stuart Bowyer, Esther Rodriguez-Villegas, Kwai C A Patrick, Esther Rodriguez-Villegas, Stuart Bowyer
Lack of proper restorative sleep can induce sleepiness at odd hours making a person drowsy. This onset of drowsiness can be detrimental for the individual in a number of ways if it happens at an unwanted time. For example, drowsiness while driving a vehicle or operating heavy machinery poses a threat to the safety and wellbeing of individuals as well as those around them. Timely detection of drowsiness can prevent the occurrence of unfortunate accidents thereby improving road and work environment safety. In this paper, by analyzing the electroencephalographic (EEG) signals of human subjects in the frequency domain, several features across different EEG channels are explored...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226811/day-to-day-variability-in-hybrid-passive-brain-computer-interfaces-comparing-two-studies-assessing-cognitive-workload
#18
Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Jason W Monnin, Samantha L Klosterman, Justin R Estepp, James C Christensen
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine learning algorithms to these data types is nonstationarity, which can evolve over the course of hours and days, and is more susceptible to changes resulting from complex cognitive function in comparison to simple, stimulus-based processes. This nonstationarity, referenced as day-to-day variability, results in the inability of many learning algorithms to generalize to new data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226538/sheathless-and-high-throughput-sorting-of-paramagnetic-microparticles-in-a-magneto-hydrodynamic-microfluidic-device
#19
Vikash Kumar, Pouya Rezai, Vikash Kumar, Pouya Rezai, Vikash Kumar, Pouya Rezai
Sorting of microorganisms and particles from a mixture is critical for numerous biotechnological and medical applications. Several sorting methods such as pinched flow fractionation (PFF), optical sorting, dielectrophoresis, acoustic separation, magnetophoresis and deterministic lateral displacement (DLD) have been reported in literature. But most of these methods lack ideal characteristics of a sorter such as ability to process at high throughput, simple design, non-complicated fabrication method, sheathless operation and high purity in separation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224971/biofabrication-of-bundles-of-poly-lactic-acid-collagen-blends-mimicking-the-fascicles-of-the-human-achille-tendon
#20
Alberto Sensini, Chiara Gualandi, Luca Cristofolini, Gianluca Tozzi, Manuela Dicarlo, Gabriella Teti, Monica Mattioli-Belmonte, Maria Letizia Focarete
Electrospinning is a promising technique for the production of scaffolds aimed at the regeneration of soft tissues. The aim of this work was to develop electrospun bundles mimicking the architecture and mechanical properties of the fascicles of the human Achille tendon. Two different blends of poly(L-lactic acid) (PLLA) and collagen (Coll) were tested, PLLA/Coll-75/25 and PLLA/Coll-50/50, and compared with bundles of pure PLLA. First, a complete physico-chemical characterization was performed on non-woven mats made of randomly arranged fibers...
February 22, 2017: Biofabrication
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