Customer service improvement is directly related with organizational standards and productivity. Employees activities have certain objectives to be followed but sometimes outcomes are different than expected. Human er...
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ISBN:
(纸本)9781509004256
Customer service improvement is directly related with organizational standards and productivity. Employees activities have certain objectives to be followed but sometimes outcomes are different than expected. Human error while performing regular job activities cause sufficient losses and difficult to address. Management faces real challenges while dealing with employee related issues and sometimes becomes unproductive. We propose Brahms Model with multi layered alert filtration and feedback cycle which would address the human error in the system and generate the filtered alerts in the form of sms or by emails. This is especially useful for Human-computer Interfacing (HCI) Scenarios. Controlling human error and addressing real issues may protect any institution from severe damage and losses. Efficiency of a customer service department can be improved and maximized by multi-layered alert filtration system using Brahms Model.
Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalen...
Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South Am
Purpose A chemical shift separation technique for hyperpolarized 13C metabolic imaging with high spatial and temporal resolution was developed. Specifically, a fast three-dimensional pulse sequence and a reconstructio...
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作者:
Younghoon SongYunjin JeongTaehong KwonDaewon LeeDong Yoon OhTae-Joon ParkJunhoi KimJiyun KimSunghoon KwonInstitutes of Entrepreneurial BioConvergence
Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Department of Electrical and Computer Science Seoul National University Seoul 151-742 Republic of Korea. Institutes of Entrepreneurial BioConvergence
Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Interdisciplinary Program of Bioengineering Seoul National University Seoul 151-742 Republic of Korea. Nano Systems Institute
Seoul National University Seoul 151-742 Republic of Korea. Department of Materials Science and Engineering
Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea. Institutes of Entrepreneurial BioConvergence
Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Department of Electrical and Computer Science Seoul National University Seoul 151-742 Republic of Korea and Interdisciplinary Program of Bioengineering Seoul National University Seoul 151-742 Republic of Korea and Nano Systems Institute Seoul National University Seoul 151-742 Republic of Korea and Seoul National University Hospital Biomedical Research Institute Seoul National University Hospital Seoul 151-742 Republic of Korea and Quantamatrix Inc. Seoul 151-742 Republic of Korea.
Correction for 'Liquid-capped encoded microcapsules for multiplex assays' by Younghoon Song et al., Lab Chip, 2017, DOI: .
Correction for 'Liquid-capped encoded microcapsules for multiplex assays' by Younghoon Song et al., Lab Chip, 2017, DOI: .
The operation of a radar system requires a trade-off between detection capabilities, power efficiency, and adjacent channel power minimization. Specifically, wide signal bandwidth is important for range detection. Thi...
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Future Internet of Things (IoT) devices will need to maintain high power efficiency while being able to reconfigure for changing performance requirements and operating frequencies. The design of quickly reconfigurable...
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Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in ...
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Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.
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