Suchergebnisse

One Getting to Know Gems -- 1 Becoming Intimate with Gems -- 2 Factors of Importance—an Overview -- Two Diamonds -- 3 The Magic of Diamonds -- 4 The Importance of Cut and Proportion -- 5 Body Color -- 6 The Effect of Flaws -- 7 Weight -- 8 How to Spot a Fraud -- 9 Bait or Flamboyant Advertising -- 10 What to Ask When Buying a Diamond -- Three Colored Gemstones -- 11 The Mystery and Magic of Colored Gems -- 12 Determining Value in Colored Gems -- 13 Fraud and Misrepresentation in Colored Gems -- 14 Buying Colored Gems -- 15 Precious Gemstones -- 16 Other Colored Gems -- Four Important Advice Before you buy -- 17 How to Select a Reputable Jeweler -- 18 How to Select a Reputable Gemologist-Appraiser -- 19 A Word About Investment -- Sources for Additional Information -- A Selected List of Gem-Identification Laboratories -- National Jewelry Associations -- State Jewelers' Associations -- Selected Readings.

Rev. ed. with a glossary of financial terms, and general information relating to finance. ; 121 p.

The outbreak of coronavirus disease 2019 (COVID-19) has become a major problem facing humans all around the world. For governments, in order to deal with the outbreak and protect the population, it is important to predict the number of infectious cases in the future to monitor the COVID-19 situation. This research aimed to compare the effectiveness of the logistic and the delay logistic time series in predicting the total number of infectious cases by using actual data from four countries, i.e. Thailand, South Korea, Egypt, and Nigeria. The total number of COVID-19 cases was collected during the first and the second wave of the COVID-19 outbreak. The validation and accuracy of the predictive growth curve time series were determined based on statistical values, i.e. the coefficient of determination and the root mean squared percentage error. It was found that the logistic time series was more appropriate for predicting the first wave in the four countries. For the second wave, the delay logistic time series was preferable. Moreover, the confidence interval based on Chebyshev's inequality of delay time between the first and the second wave of the COVID-19 outbreak is also proposed.

Public health is facing a cruel paradox. On the one hand, concern about the public's health has never been higher and issues like obesity, alcohol misuse, growing inequalities in health, and environmental degradation compete for attention on the policy agenda. On the other hand, there is widespread dismay over the means available to address these complex public health challenges. Either they seem inadequate for the task or they are poorly implemented. Whether it is the workforce charged with health improvement and its fitness for purpose, the slender finances available for public health causes, the weak incentive structure to bring about the shift from sickness to health, or the ethical tension between the nanny state and the individual in making lifestyle choices, those engaged in improving the public's health have arguably never worked in such a fraught and confused environment. In this seminar Prof Hunter will explore whether we need a new approach to health leadership and governance in order to provide public health policy with a new sense of purpose and the means to succeed. Does the political will exist to undertake the necessary action? Or is the "culture of contentment" too entrenched to bring about the necessary paradigm shift?

This thesis is about dynamical systems of agents which perform repeated averaging under bounded confidence. The main modeling issue is continuous opinion dynamics. This includes dynamics of agents in a political opinion space as well as dynamics of collective motion in swarms of mobile autonomous robots. Conditions for convergence to consensus are derived for systems where dynamics are driven by very generally defined averaging maps. Several conditions, examples and counter-examples for convergence of infinite products of row-stochastic matrices are given. Finally, the sets of fixed points are characterized. The density-based bounded confidence models are used to get an overview for the case when agents' initial opinions are uniformly distributed. Bifurcation diagrams for attractive states are computed as well as extended phase diagrams for the consensus transitions in populations with two different levels of confidence.

The study mainly aimed to identify the role of applying good governance mechanisms to contribute to increasing confidence in integrated reports in light of the Covid 19 pandemic, and to answer questions and test the study hypotheses. Analysis of the results of the applied study and hypothesis testing using the statistical program (SPSS). The questionnaire was also distributed, after its evaluation and judging by a number of specialists, to the study community consisting of general directors, directors of financial and administrative departments, and heads of financial and administrative departments working in investment companies listed on the Palestine Stock Exchange of (43) employees, and the comprehensive inventory method was used due to the small size the society. The results of the study showed that the board of directors in the investment companies listed on the Palestine Stock Exchange (PEX) is carefully determining the responsibilities and tasks well to facilitate the task of those in charge of governance to produce integrated reports that are credible, transparent and high quality in light of the Covid-19 pandemic . The study also recommended trying to take advantage of the benefits achieved by the governance mechanisms and expand their application by the departments of investment companies listed on the Palestine Stock Exchange because of their importance in improving the quality of integrated reports in light of the Covid-19 pandemic .

This study examined public reactions to a Reddit post about a news article that showed a decreasing level of confidence from the public in response to the government's actions during COVID-19. A content analysis on the 50 best comments from the Reddit post identified four common themes among user comments: a) sarcastic comments, b) explicit comments, c) personal comments, d) past comments. The most prevalent theme was sarcastic comments, which made up 50% of the sample. While the study mainly focused on low confidence levels in the government due to COVID-19, the study also emphasized ways in which political beliefs can have an impact on one's attitude towards the government.