201 research outputs found

    Immersive Visualization Environments for Teaching/Learning

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    Comparative Study of Brain Activities in Immersive Visualization Environments: An Innovative Pedagogical Technique Abstract The primary objective of this work-in-progress is to investigate advanced and innovative pedagogical techniques in teaching and learning STEM concepts by utilizing Immersive Visualization Environments (IVE). Specifically, a comparative study of brain activities was performed to determine effectiveness of different Immersive Visualization Environments in pedagogy. Twelve randomly selected college students participated in this investigation using an electroencephalography (EEG) device for measuring brain waves of the subjects. The preliminary collected data supported the assertion that dome-shaped IVE elicited a more relaxed state than its counterpart, head-mounted IVE, yielding a higher performance. Audience: College/University Professors Conference Track: R1 - Work-in-progress Format of Presentation: Poster Session Participants\u27 Engagement: N/A Participants\u27 Gain: Exposure and Knowledge of Immersive Visualization Environment for Teaching/Learning in STEM fields. Alignment: Objectives of this poster session is directly aligned with the objectives of the conference

    Ransomware: Evolution, Mitigation and Prevention

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    Ransomware is a rapidly growing threat to the data files of individuals and businesses. It encrypts files on an infected computer and holds the key to decrypt the files until the victim pays a ransom. This malware is responsible for hundreds of millions of dollars of losses annually. Due to the large amounts of money to be made, new versions appear frequently. This allows bypassing antivirus software and other intrusion detection methods. In this paper, we present a brief history of ransomware, the arguments for and against paying the ransom, best practices to prevent an infection, and to recover from an infection should one happen

    Internet Industry: A Perspective Review through Internet of Things and Internet of Everything

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    The objective of this article is to concisely explore the Internet industry through a new perspective and concept of Internet of Things (IoT) and Internet of Everything (IoE). Within this article, a brief description and development of Internet industry are presented; following with competitive strategy within the Internet industry; then value chain and the use of applications in the Internet industry. Followed by effects and benefits; and challenges, legal and ethical issues of IoT and IoE. Finally, a Concise Concluding Statement for Thoughts is stated

    Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

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    The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)

    Genetic mechanisms of critical illness in COVID-19.

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    Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice

    DNA methylation and body mass index from birth to adolescence : meta-analyses of epigenome-wide association studies

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    Background DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P <1.06 x 10(-7), with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birth P-enrichment = 1; childhood P-enrichment = 2.00 x 10(-4); adolescence P-enrichment = 2.10 x 10(-7)). Conclusions There were only minimal associations of DNA methylation with childhood and adolescent BMI. With the advancing age of the participants across childhood and adolescence, we observed increasing overlap with altered DNA methylation loci reported in association with adult BMI. These findings may be compatible with the hypothesis that DNA methylation differences are mostly a consequence rather than a cause of obesity.Peer reviewe

    Productive and Destructive Entrepreneurship in a Political Economy Framework

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    Recent research has highlighted the role of institutions in channeling entrepreneurs into activities with positive or negative effects on overall productivity. Embedding central elements from these theories into a political economy framework reveals the bilateral causal relation between entrepreneurs and institutions. Core features of the entrepreneur force us to view its effects on institutions as more than mechanic general equilibrium adjustments. Three analytically separate channels of influence are isolated, analyzed and exemplified. Entrepreneurs influence formal economic institutions through direct involvement in politics, by using their entrepreneurial talent to wield de facto political power and by altering the effect of formal institutions. We propose a parsimonious framework that incorporates these effects as well as the role of institutions in channeling entrepreneurial talent. We use examples from modern history as a real-world context to illustrate our framework
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