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A Research on Eurozone Bond Market and Determinants of Sovereign Bond Yields  [PDF]
Navjeet Gill
Journal of Financial Risk Management (JFRM) , 2018, DOI: 10.4236/jfrm.2018.72012
Abstract: This empirical research uses an OLS regression framework to examine the effect of the overall debt crisis on European sovereign bonds by conducting an overview of the bond market. It identifies the determinants which affect the generation of the indebtedness of sovereign bonds and play a major role in the determination of their solvency and hence, the spreads. These results reveal that Interest Rate, Inflation, Debt to GDP, Deficit to GDP, Gross Domestic Product rate of growth, and VSTOXX index are the most significant determinants of the sovereign bond spreads in the 6 sample countries, i.e. France, Germany, United Kingdom, Greece, Italy and Spain. To summarize, the main factors which affected bond spreads before the crisis, were not the country-specific fundamentals but rather the convergence of bond yields in the euro-zone countries due to and following the launch of the monetary union but during the crisis, increased risk aversion and lack of lender of last resort, shifted the focus to country specific factors and the bond spreads began to diverge according to the determinants highlighted in this study.
Exploring the Factors that Affect the Choice of Destination for Medical Tourism  [PDF]
Neha Singh, Harsimran Gill
Journal of Service Science and Management (JSSM) , 2011, DOI: 10.4236/jssm.2011.43037
Abstract: Medical Tourism has become one of the latest trends in the tourism industry which has been and has the potential to continue growing exponentially every year. More travelers than ever before are now travelling abroad to get high quality medical treatments for less cost. The purpose of my study is to explore the interest in US travelers in medical tourism. Results from the survey indicated that “competent doctors”, “high quality medical treatment facility”, and “prompt medical treatment when needed” where the top three factors before deciding whether or not to take a trip abroad. The results will be useful to businesses that are either directly or indirectly involved with this industry, such as insurance companies, credit card companies, travel agencies, hotels, food and beverage companies, medical facilities and services, and spas.
Signed Tilings by Ribbon L n-Ominoes, n Even, via Gr?bner Bases  [PDF]
Kenneth Gill, Viorel Nitica
Open Journal of Discrete Mathematics (OJDM) , 2016, DOI: 10.4236/ojdm.2016.63017
Abstract: Let Tn be the set of ribbon L-shaped n-ominoes for some n4 even, and let T+n be Tn with an extra 2 x 2 square. We investigate signed tilings of rectangles by Tn and T+n . We show that a rectangle has a signed tiling by Tn if and only if both sides of the rectangle are even and one of them is divisible by n, or if one of the sides is odd and the other side is divisible by \"\". We also show that a rectangle has a signed tiling by T+n, n≥6 even, if and only if both sides of the rectangle are even, or if one of the sides is odd and the other side is divisible by \"\". Our proofs are based on the exhibition of explicit GrÖbner bases for the ideals generated by polynomials associated to the tiling sets. In particular, we show that some of the regular tiling results in Nitica, V. (2015) Every tiling of the first quadrant by ribbon L n-ominoes follows the rectangular pattern. Open Journal of Discrete Mathematics, 5, 11-25, cannot be obtained from coloring invariants.
Identification and Quantitation of Cashmere (Pashmina) Fiber and Wool Using Novel Microchip Based Real-Time PCR Technology  [PDF]
Rajwant Gill, Sikander Gill, Maxim Slyadnev, Alexander Stroganov
Journal of Textile Science and Technology (JTST) , 2018, DOI: 10.4236/jtst.2018.44010
Abstract: The textile industrial chain all over the world is facing a challenge of differentiating cashmere fiber from mixture of wool and other fibers in case cashmere stocks are adulterated with wool or other fibers. For identification of cashmere in such mixtures, the development of microchip based real-time PCR technology offers a very sensitive, specific, and accurate solution. The technology has been validated with cashmere and wool samples procured from distant farms, and from cashmere goats and sheep of different age and sex. Model samples with incremental raw cashmere or wool content were tested. The experimentally determined content was found to be comparable to the weighed content of the respective fibers in the samples. This technology may prove a cost cutter since it needs only 1.2 μl of the PCR reagent mix. It is substantially faster than traditional real-time PCR systems for being carried as miniature reaction volume in metal microchip. These features allow faster thermal equilibrium and thermal uniformity over the entire array of microreactors. For routine tests or in commercial set up, the microchips are available as ready-to-run with lyophilized reagents in its microreactors to which only 1 μl of the 10-fold diluted isolated DNA sample is added. The lyophilized microchips offer user-friendly handling in testing laboratories and help minimize human error.
Higher Variations of the Monty Hall Problem (3.0, 4.0) and Empirical Definition of the Phenomenon of Mathematics, in Boole’s Footsteps, as Something the Brain Does  [PDF]
Leo Depuydt, Richard D. Gill
Advances in Pure Mathematics (APM) , 2012, DOI: 10.4236/apm.2012.24034
Abstract: In Advances in Pure Mathematics (www.scirp.org/journal/apm), Vol. 1, No. 4 (July 2011), pp. 136-154, the mathematical structure of the much discussed problem of probability known as the Monty Hall problem was mapped in detail. It is styled here as Monty Hall 1.0. The proposed analysis was then generalized to related cases involving any number of doors (d), cars (c), and opened doors (o) (Monty Hall 2.0) and 1 specific case involving more than 1 picked door (p) (Monty Hall 3.0). In cognitive terms, this analysis was interpreted in function of the presumed digital nature of rational thought and language. In the present paper, Monty Hall 1.0 and 2.0 are briefly reviewed (§§2-3). Additional generalizations of the problem are then presented in §§4-7. They concern expansions of the problem to the following items: (1) to any number of picked doors, with p denoting the number of doors initially picked and q the number of doors picked when switching doors after doors have been opened to reveal goats (Monty Hall 3.0; see §4); (3) to the precise conditions under which one’s chances increase or decrease in instances of Monty Hall 3.0 (Monty Hall 3.2; see §6); and (4) to any number of switches of doors (s) (Monty Hall 4.0; see §7). The afore-mentioned article in APM, Vol. 1, No. 4 may serve as a useful introduction to the analysis of the higher variations of the Monty Hall problem offered in the present article. The body of the article is by Leo Depuydt. An appendix by Richard D. Gill (see §8) provides additional context by building a bridge to modern probability theory in its conventional notation and by pointing to the benefits of certain interesting and relevant tools of computation now available on the Internet. The cognitive component of the earlier investigation is extended in §9 by reflections on the foundations of mathematics. It will be proposed, in the footsteps of George Boole, that the phenomenon of mathematics needs to be defined in empirical terms as something that happens to the brain or something that the brain does. It is generally assumed that mathematics is a property of nature or reality or whatever one may call it. There is not the slightest intention in this paper to falsify this assumption because it cannot be falsified, just as it cannot be empirically or positively proven. But there is no way that this assumption can be a factual observation. It can be no more than an altogether reasonable, yet fully secondary, inference derived mainly from the fact that mathematics appears to work, even if some may
Imperfection of Domain Knowledge and Its Formalization in Context of Design of Robust Software Systems  [PDF]
Meenakshi Sridhar, Naseeb Singh Gill
Journal of Software Engineering and Applications (JSEA) , 2015, DOI: 10.4236/jsea.2015.89047
Abstract: In this paper, it is emphasized that taking into consideration of imperfection of knowledge, of the team of the designers/developers, about the problem domains and environments is essential in order to develop robust software metrics and systems. In this respect, first various possible types of imperfections in knowledge are discussed and then various available formal/mathematical models for representing and handling these imperfections are discussed. The discussion of knowledge classification & representation is from computational perspective and that also within the context of software development enterprise, and not necessarily from organizational management, from library & information science, or from psychological perspectives.
Melbourne-RACI December Synthesis Symposium
Melvyn Gill
Molecules , 2004, DOI: 10.3390/90600383
Abstract: No abstract available
Disorder and Everyday Life in Barrancabermeja
Colombia Internacional , 2011,
Abstract: this article examines how years of political violence and neoliberal restructuring have disorganized social life in barrancabermeja. how, it asks, can working people grasp the future without the stability to understand the present and the ways that it both emerges and is different from the past? it explores how an extreme form of neoliberalism fragmented various forms of social solidarity, infused social life with fear, and generated violent, clientelistic networks that flourished in the absence of rights. it argues that unrestrained power and violence deprived people of the coherence needed to take care of themselves and to grasp the connections between the past, present, and future that are necessary "to make history."
Prescription painkillers and controlled substances: an appraisal of drug information provided by six US pharmacies
Gill PS
Drug, Healthcare and Patient Safety , 2013, DOI: http://dx.doi.org/10.2147/DHPS.S42508
Abstract: escription painkillers and controlled substances: an appraisal of drug information provided by six US pharmacies Original Research (493) Total Article Views Authors: Gill PS Published Date February 2013 Volume 2013:5 Pages 29 - 36 DOI: http://dx.doi.org/10.2147/DHPS.S42508 Received: 08 January 2013 Accepted: 25 January 2013 Published: 27 February 2013 Preetinder S Gill College of Technology, Eastern Michigan University, Ypsilanti, MI, USA Background: Health literacy impacts health outcomes. Health literacy is a measure of a person's competence to find, access, contextualize, and understand the information needed to make health decisions. Low levels of health literacy have been associated with poor health status. Health literacy can be enhanced by improving the readability of health literature. Misuse and abuse of prescription medicines and controlled substances is rising. It could be argued that improving the readability of the drug-information documents associated with these medicines could serve to alleviate this situation in a small, albeit incremental, manner. This paper provides a readability assessment of 71 such documents. Methods: The readability of drug-information documents associated with 12 commonly misused and abused painkiller medicines and controlled substances published by the top six US pharmacies was assessed. The Flesch-Kincaid Grade Level, Flesch Reading Ease, and Simple Measure of Gobbledygook (SMOG) indices were used to assess the readability of these drug-information documents. One-way analysis of variance (ANOVA) was used to compare the readability of the documents. Results: The average Flesch-Kincaid Grade Level index score was found to be 11.16. The average Flesch Reading Ease index score was found to be 45.94. The average SMOG index score was found to be 13.60. Pharmacies C and E had the best average readability scores, whereas pharmacies A and B had the worst average readability scores. Conclusion: Access, contents, and formatting of the documents were qualitatively analyzed to make recommendations to improve readability. Pharmacies C and E were used as benchmarks to identify the seven best practices. Good drug-information documents should have: (1) clear purpose, (2) limited scope, (3) summary/brief review, (4) well-placed graphics, (5) informative illustrations, (6) clean layout and lucid formatting relevant to the media, and (7) focus on the intended users.
Technological innovation and its effect on public health in the United States
Gill PS
Journal of Multidisciplinary Healthcare , 2013, DOI: http://dx.doi.org/10.2147/JMDH.S34810
Abstract: hnological innovation and its effect on public health in the United States Original Research (1015) Total Article Views Authors: Gill PS Published Date January 2013 Volume 2013:6 Pages 31 - 40 DOI: http://dx.doi.org/10.2147/JMDH.S34810 Received: 08 June 2012 Accepted: 18 December 2012 Published: 23 January 2013 Preetinder Singh Gill College of Technology, Eastern Michigan University, Ypsilanti, MI, USA Background: Good public health ensures an efficient work force. Organizations can ensure a prominent position on the global stage by staying on the leading edge of technological development. Public health and technological innovation are vital elements of prosperous economies. It is important to understand how these elements affect each other. This research study explored and described the relationship between these two critical elements/constructs. Methods: Indicators representing technological innovation and public health were identified. Indicator data from 2000 to 2009 were collected from various US federal government sources, for the four US Census regions. The four US Census regions were then compared in terms of these indicators. Canonical correlation equations were formulated to identify combinations of the indicators that are strongly related to each other. Additionally, the cause–effect relationship between public health and technological innovation was described using the structural equation modeling technique. Results: The four US Census regions ranked differently in terms of both type of indicators in a statistically significant manner. The canonical correlation analysis showed that the first set of canonical variables had a fairly strong relationship, with a magnitude > 0.65 at the 95% confidence interval, for all census regions. Structural equation modeling analysis provided β < 0.69 and Student’s t statistic > 12.98, for all census regions. The threshold Student’s t statistic was 1.98. Hence, it was found that the β values were significant at the 95% confidence interval, for all census regions. Discussion: The results of the study showed that better technological innovation indicator scores were associated with better public health indicator scores. Furthermore, the study provided preliminary evidence that technological innovation shares causal relation with public health.
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