The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform
Ann Nowak - One of the best experts on this subject based on the ideXlab platform.
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applying Mathematical Set Theory to statutory construction of municipal sign laws
Social Science Research Network, 2013Co-Authors: Ann NowakAbstract:The author discusses how an ambiguity in the town code of Southampton, New York, recently created a controversy over whether thin strips of plain plastic affixed to utility poles to demarcate a religious boundary would fall under the town’s definition of “signs.” The author explains how this case illustrates why municipal lawyers might want to review their high school mathematics lessons about Set Theory before drafting statutes. The application of Set Theory — particularly in the form of Venn diagrams — can help to prevent ambiguity of language in statutory construction. It is this ambiguity that gives rise to differences in interpretation, and these differences frequently lead to litigation over the meaning of a statute.
Daniel C. Strack - One of the best experts on this subject based on the ideXlab platform.
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solving metaphor Theory s binding problem an examination of mapping and its theoretical implications
Metaphor and Symbol, 2016Co-Authors: Daniel C. StrackAbstract:ABSTRACTWhile metaphor researchers commonly use the word “mapping” in explanations of various types of figurative language, there is a lack of recognition that the term is itself metaphorical. In fact, the term has two metaphor-based working definitions, the more commonly cited being that relating to Mathematical Set Theory and the less common definition originating in cognitive neuroscience. Perhaps not coincidentally, terminological inconsistencies relating to mapping have led to theoretical problems both for single-domain theories of metonymy and attempts to examine Lakoff’s invariance hypothesis. This article will assert that expressing metonymic connectivity using the neuroscience term “binding” will both eliminate unnecessary theoretical confusion for cognitive linguists and provide common terminology to facilitate productive communication between cognitive linguists and cognitive neuroscientists.
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Solving Metaphor Theory’s Binding Problem: An Examination of “Mapping” and Its Theoretical Implications
Metaphor and Symbol, 2016Co-Authors: Daniel C. StrackAbstract:ABSTRACTWhile metaphor researchers commonly use the word “mapping” in explanations of various types of figurative language, there is a lack of recognition that the term is itself metaphorical. In fact, the term has two metaphor-based working definitions, the more commonly cited being that relating to Mathematical Set Theory and the less common definition originating in cognitive neuroscience. Perhaps not coincidentally, terminological inconsistencies relating to mapping have led to theoretical problems both for single-domain theories of metonymy and attempts to examine Lakoff’s invariance hypothesis. This article will assert that expressing metonymic connectivity using the neuroscience term “binding” will both eliminate unnecessary theoretical confusion for cognitive linguists and provide common terminology to facilitate productive communication between cognitive linguists and cognitive neuroscientists.
Styf Anna - One of the best experts on this subject based on the ideXlab platform.
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Blockchain Technology & Volatility of Stock Returns : A Quantitative Study that Examines Blockchain Technology’s Impact on Volatility in Swedish Stocks
Umeå universitet Företagsekonomi, 2020Co-Authors: Andersson Kajsa, Styf AnnaAbstract:Blockchain technology has received tremendous attention during the last decade. Huge investments incentives have been made into Blockchain technology and companies worldwide are adapting the new modern innovation. Advocates for Blockchain technology claims that the safe and transparent distributed decentralized ledger has the potential to transform entire industries. One of the biggest operational risks for financial institutions is risks associated with cyber security and cybercrimes. It is argued that Blockchain technology should reduce possibilities for cyber-attacks, increase transparency, and reduce risk. No previous research has been found to confirm this research proposition with perspective to stock return. Still, there remain uncertainties regarding how Blockchain technology affects individual businesses, operational activities and stock behaviours. This research gap is aimed to be partly bridged with this thesis in a Swedish Setting. The primary purpose with this study is therefore to study if the introduction of Blockchain technology in Swedish corporations have an impact of stock return volatility. The longitudinal research methodology of this thesis is designed to satisfy a deductive, quantitative research design, with objectivist ontological assumptions and epistemological positivist approach to generate axiological value-free results. Multiple Linear Regressions and Panel data regression have been performed as well as t-tests to test two hypotheses with regard to systematic risk and total risk as measurements for historical volatility of returns. The primary findings show a non-significant slight reduction for total risk of stock return, and a slight increase in the systematic risk of stock return. Using Mathematical Set Theory one can argue that the unsystematic risk of stock return decreases. This has proven to be in line with previous theoretical research suggestions which states that operational risk should be reduced. However, the effects observed through the statistical procedures are quite small. Thus, this could indicate that investors’ perceptions of Blockchain technology are still associated with negative issues. Financial theories such as asymmetry of information, adverse selection, signalling, risk-return fundamentals and behavioural aspects of finance are applied to describe the results, together with previous research, to use the theoretical framework in a coherent way. More research is emphasized to further explore this phenomenon, in order to draw generalizable, significant conclusions though different geographical contexts and markets.
Andersson Kajsa - One of the best experts on this subject based on the ideXlab platform.
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Blockchain Technology & Volatility of Stock Returns : A Quantitative Study that Examines Blockchain Technology’s Impact on Volatility in Swedish Stocks
Umeå universitet Företagsekonomi, 2020Co-Authors: Andersson Kajsa, Styf AnnaAbstract:Blockchain technology has received tremendous attention during the last decade. Huge investments incentives have been made into Blockchain technology and companies worldwide are adapting the new modern innovation. Advocates for Blockchain technology claims that the safe and transparent distributed decentralized ledger has the potential to transform entire industries. One of the biggest operational risks for financial institutions is risks associated with cyber security and cybercrimes. It is argued that Blockchain technology should reduce possibilities for cyber-attacks, increase transparency, and reduce risk. No previous research has been found to confirm this research proposition with perspective to stock return. Still, there remain uncertainties regarding how Blockchain technology affects individual businesses, operational activities and stock behaviours. This research gap is aimed to be partly bridged with this thesis in a Swedish Setting. The primary purpose with this study is therefore to study if the introduction of Blockchain technology in Swedish corporations have an impact of stock return volatility. The longitudinal research methodology of this thesis is designed to satisfy a deductive, quantitative research design, with objectivist ontological assumptions and epistemological positivist approach to generate axiological value-free results. Multiple Linear Regressions and Panel data regression have been performed as well as t-tests to test two hypotheses with regard to systematic risk and total risk as measurements for historical volatility of returns. The primary findings show a non-significant slight reduction for total risk of stock return, and a slight increase in the systematic risk of stock return. Using Mathematical Set Theory one can argue that the unsystematic risk of stock return decreases. This has proven to be in line with previous theoretical research suggestions which states that operational risk should be reduced. However, the effects observed through the statistical procedures are quite small. Thus, this could indicate that investors’ perceptions of Blockchain technology are still associated with negative issues. Financial theories such as asymmetry of information, adverse selection, signalling, risk-return fundamentals and behavioural aspects of finance are applied to describe the results, together with previous research, to use the theoretical framework in a coherent way. More research is emphasized to further explore this phenomenon, in order to draw generalizable, significant conclusions though different geographical contexts and markets.
Edward Baker - One of the best experts on this subject based on the ideXlab platform.
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The potential of using Sets of specimens to handle species concepts
2015Co-Authors: Edward BakerAbstract:The use of notation and concepts from Mathematical Set Theory is investigated as a method for describing species concepts, and potentially higher level taxa. These methods may facilitate the easy databasing of species concepts, allowing the concepts themselves to become citable through the provision of unique identifiers. The increase in unique identifiers (such as Life Science Identifiers or Digital Object Identifiers) for biological specimens in recent years may make this approach more feasible than it would have been previously.