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  • Other research product . 1910
    Open Access English
    Publisher: The Cowichan Leader
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/7023/July07-1910.pdf?sequence=2

  • Open Access English
    Authors: 
    Borges do Nascimento, Israel Júnior et al.;

    A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-e ects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%–99%; n = 4410), cough (61%, 95% CI 39%–81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%–55%; n = 3778), dyspnea (26%, 95% CI 12%–41%; n = 3700), headache in 12% (95% CI 4%–23%, n = 3598 patients), sore throat in 10% (95% CI 5%–17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%–17%, n=1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 109/L, 95% CI 0.83–1.03 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54–45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%–1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay.

  • Open Access English
    Authors: 
    Turak, Eren; Dudgeon, David; Harrison, Ian J.; Freyhof, Jörg; De Wever, Aaike; Revenga, Carmen; Garcia-Moreno, Jaime; Abell, Robin; Culp, Joseph M.; Lento, Jennifer; +3 more
    Publisher: Springer International Publishing
  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/12338/Mar17-1921.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/17324/Nov16-1898.pdf?sequence=2

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20339/May16-1888.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20490/Dec06-1888.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20360/Aug04-1888.pdf?sequence=2&isAllowed=y

  • Other research product . 2011
    Open Access English
    Authors: 
    Lu, Wenjie; Yu, Qun;
    Country: Canada

    Much research has been done to examine the relation between investors' human capital and their financial asset allocation. While some showed that the value of human capital should be taken into consideration to make financial asset allocation decisions on the composition of investing portfolios, most argued not. In this paper, we selected the monthly return of 9 industrial ETFs from June of 2007 to July 2011, used the present value of total future income as estimate of human capital, and relied on the Mean-Variance Optimal Asset Allocation framework to reexamine if human capital will impact investors optimal financial portfolios. Based on our tests, we found significant connection between human capital and risky asset allocation, which resulted in significant change to weights allocated to the risk assets to create a Mean-Variance optimal portfolio.

  • Other research product . 2014
    Open Access English
    Authors: 
    Xin Jiang, Albert; Soriano Marcolino, Leandro; Procaccia, Ariel D.; Sandholm, Tuomas; Shah, Nisarg; Tambe, Milind;
    Country: United Kingdom
    Project: NSF | CAREER: A Broad Synthesis... (1350598), NSF | ICES: Small: Computationa... (1215883)

    We investigate the power of voting among diverse, randomized software agents. With teams of computer Go agents in mind, we develop a novel theoretical model of two-stage noisy voting that builds on recent work in machine learning. This model allows us to reason about a collection of agents with different biases (determined by the first-stage noise models), which, furthermore, apply randomized algorithms to evaluate alternatives and produce votes (captured by the second-stage noise models). We analytically demonstrate that a uniform team, consisting of multiple instances of any single agent, must make a significant number of mistakes, whereas a diverse team converges to perfection as the number of agents grows. Our experiments, which pit teams of computer Go agents against strong agents, provide evidence for the effectiveness of voting when agents are diverse.

search
Include:
The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
210 Research products, page 1 of 21
  • Other research product . 1910
    Open Access English
    Publisher: The Cowichan Leader
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/7023/July07-1910.pdf?sequence=2

  • Open Access English
    Authors: 
    Borges do Nascimento, Israel Júnior et al.;

    A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-e ects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%–99%; n = 4410), cough (61%, 95% CI 39%–81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%–55%; n = 3778), dyspnea (26%, 95% CI 12%–41%; n = 3700), headache in 12% (95% CI 4%–23%, n = 3598 patients), sore throat in 10% (95% CI 5%–17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%–17%, n=1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 109/L, 95% CI 0.83–1.03 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54–45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%–1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay.

  • Open Access English
    Authors: 
    Turak, Eren; Dudgeon, David; Harrison, Ian J.; Freyhof, Jörg; De Wever, Aaike; Revenga, Carmen; Garcia-Moreno, Jaime; Abell, Robin; Culp, Joseph M.; Lento, Jennifer; +3 more
    Publisher: Springer International Publishing
  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/12338/Mar17-1921.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/17324/Nov16-1898.pdf?sequence=2

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20339/May16-1888.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20490/Dec06-1888.pdf?sequence=2&isAllowed=y

  • Open Access English
    Publisher: Nanaimo Free Press
    Country: Canada

    https://viurrspace.ca/bitstream/handle/10613/20360/Aug04-1888.pdf?sequence=2&isAllowed=y

  • Other research product . 2011
    Open Access English
    Authors: 
    Lu, Wenjie; Yu, Qun;
    Country: Canada

    Much research has been done to examine the relation between investors' human capital and their financial asset allocation. While some showed that the value of human capital should be taken into consideration to make financial asset allocation decisions on the composition of investing portfolios, most argued not. In this paper, we selected the monthly return of 9 industrial ETFs from June of 2007 to July 2011, used the present value of total future income as estimate of human capital, and relied on the Mean-Variance Optimal Asset Allocation framework to reexamine if human capital will impact investors optimal financial portfolios. Based on our tests, we found significant connection between human capital and risky asset allocation, which resulted in significant change to weights allocated to the risk assets to create a Mean-Variance optimal portfolio.

  • Other research product . 2014
    Open Access English
    Authors: 
    Xin Jiang, Albert; Soriano Marcolino, Leandro; Procaccia, Ariel D.; Sandholm, Tuomas; Shah, Nisarg; Tambe, Milind;
    Country: United Kingdom
    Project: NSF | CAREER: A Broad Synthesis... (1350598), NSF | ICES: Small: Computationa... (1215883)

    We investigate the power of voting among diverse, randomized software agents. With teams of computer Go agents in mind, we develop a novel theoretical model of two-stage noisy voting that builds on recent work in machine learning. This model allows us to reason about a collection of agents with different biases (determined by the first-stage noise models), which, furthermore, apply randomized algorithms to evaluate alternatives and produce votes (captured by the second-stage noise models). We analytically demonstrate that a uniform team, consisting of multiple instances of any single agent, must make a significant number of mistakes, whereas a diverse team converges to perfection as the number of agents grows. Our experiments, which pit teams of computer Go agents against strong agents, provide evidence for the effectiveness of voting when agents are diverse.