Current State of Commercial Wearable Technology in Physical Activity Monitoring 2015-2017

International Journal of Exercise Science 11(7): 503-515, 2018. Wearable physical activity trackers are a popular and useful method to collect biometric information at rest and during exercise. The purpose of this systematic review was to summarize recent findings of wearable devices for biometric information related to steps, heart rate, and caloric expenditure for several devices that hold a large portion of the market share. Searches were conducted in both PubMed and SPORTdiscus. Filters included: humans, within the last 5 years, English, full-text, and adult 19+ years. Manuscripts were retained if they included an exercise component of 5-min or greater and had 20 or more participants. A total of 10 articles were retained for this review. Overall, wearable devices tend to underestimate energy expenditure compared to criterion laboratory measures, however at higher intensities of activity energy expenditure is underestimated. All wrist and forearm devices had a tendency to underestimate heart rate, and this error was generally greater at higher exercise intensities and those that included greater arm movement. Heart rate measurement was also typically better at rest and while exercising on a cycle ergometer compared to exercise on a treadmill or elliptical machine. Step count was underestimated at slower walking speeds and in free-living conditions, but improved accuracy at faster speeds. The majority of the studies reviewed in the present manuscript employed different methods to assess validity and reliability of wearable technology, making it difficult to compare devices. Standardized protocols would provide guidance for researchers to evaluate research-grade devices as well as commercial devices used by the lay public

Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization

<p>Abstract</p> <p/> <p>This paper demonstrates how a Neural Grammar Network learns to classify and score molecules for a variety of tasks in chemistry and toxicology. In addition to a more detailed analysis on datasets previously studied, we introduce three new datasets (BBB, FXa, and toxicology) to show the generality of the approach. A new experimental methodology is developed and applied to both the new datasets as well as previously studied datasets. This methodology is rigorous and statistically grounded, and ultimately culminates in a Wilcoxon significance test that proves the effectiveness of the system. We further include a complete generalization of the specific technique to arbitrary grammars and datasets using a mathematical abstraction that allows researchers in different domains to apply the method to their own work.</p> <p>Background</p> <p>Our work can be viewed as an alternative to existing methods to solve the quantitative structure-activity relationship (QSAR) problem. To this end, we review a number approaches both from a methodological and also a performance perspective. In addition to these approaches, we also examined a number of chemical properties that can be used by generic classifier systems, such as feed-forward artificial neural networks. In studying these approaches, we identified a set of interesting benchmark problem sets to which many of the above approaches had been applied. These included: ACE, AChE, AR, BBB, BZR, Cox2, DHFR, ER, FXa, GPB, Therm, and Thr. Finally, we developed our own benchmark set by collecting data on toxicology.</p> <p>Results</p> <p>Our results show that our system performs better than, or comparatively to, the existing methods over a broad range of problem types. Our method does not require the expert knowledge that is necessary to apply the other methods to novel problems.</p> <p>Conclusions</p> <p>We conclude that our success is due to the ability of our system to: 1) encode molecules losslessly before presentation to the learning system, and 2) leverage the design of molecular description languages to facilitate the identification of relevant structural attributes of the molecules over different problem domains.</p

The genome of the emerging barley pathogen Ramularia collo-cygni

Background Ramularia collo-cygni is a newly important, foliar fungal pathogen of barley that causes the disease Ramularia leaf spot. The fungus exhibits a prolonged endophytic growth stage before switching life habit to become an aggressive, necrotrophic pathogen that causes significant losses to green leaf area and hence grain yield and quality. Results The R. collo-cygni genome was sequenced using a combination of Illumina and Roche 454 technologies. The draft assembly of 30.3 Mb contained 11,617 predicted gene models. Our phylogenomic analysis confirmed the classification of this ascomycete fungus within the family Mycosphaerellaceae, order Capnodiales of the class Dothideomycetes. A predicted secretome comprising 1053 proteins included redox-related enzymes and carbohydrate-modifying enzymes and proteases. The relative paucity of plant cell wall degrading enzyme genes may be associated with the stealth pathogenesis characteristic of plant pathogens from the Mycosphaerellaceae. A large number of genes associated with secondary metabolite production, including homologs of toxin biosynthesis genes found in other Dothideomycete plant pathogens, were identified. Conclusions The genome sequence of R. collo-cygni provides a framework for understanding the genetic basis of pathogenesis in this important emerging pathogen. The reduced complement of carbohydrate-degrading enzyme genes is likely to reflect a strategy to avoid detection by host defences during its prolonged asymptomatic growth. Of particular interest will be the analysis of R. collo-cygni gene expression during interactions with the host barley, to understand what triggers this fungus to switch from being a benign endophyte to an aggressive necrotroph

Epidemiological studies of Rhynchosporium secalis (leaf blotch of barley)

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Characterisation of the bacterial flora associated with the grey field slug Deroceras reticulatum and assessment of its suitability as a target for biological control

The field slug Deroceras reticulatum is a major pest in UK agriculture and amidst growing concern and regulatory pressures surrounding chemical molluscicides, innovation is required to advance the current repertoire of slug controls. This study set out to investigate the bacteria associated with D. reticulatum to assess their importance to the slug and potential as a target for biological control. Slug gut bacterial isolates identified using the phenotypical API system (BioMérieux) and 16S rRNA gene sequencing, were mainly soil-dwelling organisms of the phyla Proteobacteria and Bacteriodetes some of which may be important in human or plant disease. A ribosomal intergenic spacer analysis (RISA) was developed to study microbial communities in the slug gut. Slugs had an average species richness of 12 and comparing the bacterial communities in slugs from different locations yielded a mean similarity of 0.159 (Jaccard index) which was significantly lower than similarity indices of slugs collected within a single location (Mean Jaccard index 0.205, p<0.001, ANOVA). Cloning and sequencing of RISA bands common to slugs and slug eggs, but absent from the surrounding soil and plants identified bacteria for future investigation as potential beneficial symbionts. Bacteria extracted from the slug gut were tested for sensitivity to 16 antibiotics and greatest inhibition of growth was observed for chloramphenicol, gentamicin and tetracycline. These antibiotics administered to slugs by feeding and injection caused a reduction in gut-associated bacteria in plate counts, and in bacterial 16S rDNA quantities estimated by real-time quantitative PCR. Field collected D. reticulatum has a large transient gut bacterial population which is reduced upon starvation to a low background level. No significant detrimental effect of antibiotic treatment on the fitness and survival of the slugs was seen, in some instances control slugs suffered greater mortality than slugs that had been injected with antibiotic. Slugs that died during bioassays had a significantly greater amount of bacterial 16S rDNA in their gut than slugs that were sacrificed as healthy individuals suggesting the presence of a bacterial pathogen. This study has found little evidence that a bacterial symbiont may exist and be important for optimal fitness and survival of D. reticulatum, but insight into slug associated bacteria will be valuable in the direction of future studies in this field.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Improved screening of biochar compounds for potential toxic activity with microbial biosensors

Biochar is a carbon rich product destined for agricultural use, which can be produced using an array of feedstock and pyrolysis conditions. As such, the resultant biochar product can exhibit characteristics that result in either beneficial or detrimental environmental effects. We set out to establish what the environmental hazards might be for a range of softwood biochars. To facilitate this we conducted biochar headspace analysis, plant germination and bacterial biosensor assays. Our headspace analysis indicated the presence of aldehyde and ester based compounds, which were affected by pyrolysis conditions and in some cases contained compounds that were hazardous to human and environmental health. Germination assays, utilising barley, buckwheat, white clover and oil seed rape, showed that the plants responded differently to the same biochar samples and that in some instances, where germination was unaffected, there were visible physiological effects on seedlings. Finally, we screened water extracts of the biochars under buffered pH, for the presence of potentially toxic elements and compounds using bioluminescence-based bacterial biosensors. Bioluminescence inhibiting compounds were present in extracts prepared from biochar samples pyrolysed at 500 °C under conditions with inadequate control of biochar-volatile interaction. The findings were taken as an indication that bacterial biosensors could be used as a rapid method to screen anomalous biochar products for potential ecotoxicity hazard assessment

Iodixanol, a new isosmotic nonionic contrast agent compared with iohexol in cardiac angiography

Iodixanol, a new ratio 6 nonionic iodinated contrast agent with an osmolality equal to serum, was compared with iohexol in a randomized, double-blind, parallel study. Two hundred patients undergoing elective diagnostic cardiac angiography were randomized to iodixanol (n = 101) or iohexol (n = 99). There were no differences noted between the 2 agents in the mean changes in systolic or diastolic blood pressure or heart rate during or immediately after any angiography. However, significantly more patients had a decrease in diastolic Mood pressure of &gt;20 mm Hg during left coronary angiography with iodixanol. The only significant differences in any electrophysiologic parameter were slightly more PR prolongation during left coronary angiography with iodixanol and more ST-segment depression with iohexol during coronary angiography. Neither was clinically significant. Injection-associated discomfort occurred with both agents, but more patients experienced moderate to severe discomfort with iohexol (52%) than with iodixanol (17%) (p &lt; 0.001). Only 1 potentially serious adverse event, ventricular fibrillation with iohexol, was considered related to contrast, and there were no differences noted between the agents. Overall, angiographic quality was equal with all angiograms being assessed as good or excellent in both groups (p = 0.885). In this low-risk population undergoing cardiac angiography, iodixanol is safe and effective without clinically important differences from iohexol. Additional studies in patients at high risk for complications should help further define the role of iodixanol in cardiac angiography.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/31450/1/0000371.pd