Plithogenic Cognitive Maps In Decision Making,
2020
University of New Mexico
Plithogenic Cognitive Maps In Decision Making, Florentin Smarandache, Nivetha Martin
Branch Mathematics and Statistics Faculty and Staff Publications
Plithogenic sets introduced by Smarandache (2018) have disclosed new research vistas and this paper introduces the novel concept of plithogenic cognitive maps (PCM) and its applications in decision making. The new approach of defining instantaneous state neutrosophic vector with the confinement of indeterminacy to (0,1] is proposed to quantify the degree of indeterminacy. The resultant vector is obtained by applying instantaneous state vector through the connection matrix together with plithogenic operators comprising the contradiction degrees. The connection matrix is represented as fuzzy matrix and neutrosophic matrix and the resultant vector is determined by applying plithogenic fuzzy operators and plithogenic neutrosophic …
Outcomes Of Platform Openness In Complementary Markets,
2020
University of Arkansas, Fayetteville
Outcomes Of Platform Openness In Complementary Markets, Franck Loic Soh Noume
Graduate Theses and Dissertations
Mobile platform ecosystems are hyper-competitive environments. They provide important entrepreneurial opportunities for businesses that develop mobile apps. Platform openness is foundational in mobile platform ecosystems as it enables interactions between complements and platform. Although there are several studies on the impact of platform openness, our understanding of the outcomes of platform openness remains limited. In this dissertation, we examine thoroughly underexplored facets of platform openness as well as understudied outcomes. In the first essay, we investigate the impact of platform openness on incumbent complements’ performance outcomes. We unravel important causal mechanisms related to competition dynamics between new entrants and incumbent …
A Predictive Analytics Model For Differentiating Between Transient Ischemic Attacks (Tia) And Its Mimics,
2020
Bucknell University
A Predictive Analytics Model For Differentiating Between Transient Ischemic Attacks (Tia) And Its Mimics, Alia C. Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil Holland, Vida Abedi, Ramin Zand
Faculty Journal Articles
Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The goal of this study was to design and evaluate a novel multinomial classification model, based on a combination of feature selection mechanisms coupled with logistic regression, to predict the likelihood of TIA, TIA mimics, and minor stroke.
Shift-Share Analysis: Alabama, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Alabama, 2005 - 2018, Randall Jackson, Peter Jarosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Ohio, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Ohio, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: New York, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: New York, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: North Carolina, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: North Carolina, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: South Carolina, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: South Carolina, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Maryland, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Maryland, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …
Shift-Share Analysis: Mississippi, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Mississippi, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Georgia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Georgia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Pennsylvania, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Pennsylvania, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Kentucky, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Kentucky, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …
Shift-Share Analysis: Tennessee, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Tennessee, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further …
Shift-Share Analysis: Virginia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Virginia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of n Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: West Virginia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: West Virginia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Rationing Social Contact During The Covid-19 Pandemic: Transmission Risk And Social Benefits Of Us Locations,
2020
Chapman University
Rationing Social Contact During The Covid-19 Pandemic: Transmission Risk And Social Benefits Of Us Locations, Seth G. Benzell, Avinash Collis, Christos Nicolaides
Economics Faculty Articles and Research
To prevent the spread of coronavirus disease 2019 (COVID-19), some types of public spaces have been shut down while others remain open. These decisions constitute a judgment about the relative danger and benefits of those locations. Using mobility data from a large sample of smartphones, nationally representative consumer preference surveys, and economic statistics, we measure the relative transmission reduction benefit and social cost of closing 26 categories of US locations. Our categories include types of shops, entertainments, and service providers. We rank categories by their trade-off of social benefits and transmission risk via dominance across 13 dimensions of risk and …
Biomedcentral (Bmc) 2019 – 2020,
2020
University of Otawa
Biomedcentral (Bmc) 2019 – 2020, Anqi Shi, Heather Morrison
Copyright, Fair Use, Scholarly Communication, etc.
Key points
- Open access commercial publishing pioneer BMC is now wholly owned by a private company with a portfolio including lines of business that derive revenue from journal subscriptions, book sales, and textbook sales and rentals
- Two former BMC fully OA journals, listed in DOAJ from 2014 – 2018 as having CC-BY licenses, are now hybrid and listed on the Springer website and have disappeared from the BMC website
- 67% of BMC journals with APCs in 2019 and 2020 increased in price and 11% decreased in price.
- Journals with price increases had a higher average APC in 2019, i.e. more …
Identifying Human Trafficking Networks In Louisiana By Using Authorship Attribution And Network Modeling,
2020
Louisiana State University
Identifying Human Trafficking Networks In Louisiana By Using Authorship Attribution And Network Modeling, Hassan Marzoughi Ardakani
LSU Doctoral Dissertations
Human trafficking or modern slavery is a problem that has plagued every U.S. state, in both urban and rural areas. During the past decades, online advertisements for sex trafficking have rapidly increased in numbers. The advancement of the Internet and smart phones have made it easier for sex traffickers to contact and recruit their victims and advertise and sell them online. Also, they have made it more difficult for law enforcement to trace the victims and identify the traffickers. Sadly, more than fifty percent of the victims of sex trafficking are children, many of which are exploited through the Internet. …
Family Ownership And Corporate Environmental Responsibility: The Contingent Effect Of Venture Capital And Institutional Environment,
2020
Montclair State University
Family Ownership And Corporate Environmental Responsibility: The Contingent Effect Of Venture Capital And Institutional Environment, Zhu Zhu, Feifei Lu
Department of Management Faculty Scholarship and Creative Works
As scholars and policy makers pay more attention to the environmental impact of economic activities, more focus has been placed on the corporate environmental responsibility (CER) of family firms, which accounts for the majority of businesses in both developed and developing countries. Using a sample of 4714 private enterprises across 23 provinces in China, the current study examines the effect of family ownership on CER investment, as well as the moderating effects of venture capital investment and local institutional development. Results show that concentrated family ownership leads to lower CER spending, however, when venture capital investment comes from developed markets, …