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Articles 118771 - 118800 of 1104647
Full-Text Articles in Entire DC Network
Pilots’ Desire To Become Future Space Tourism Pilots: Polynomial Regression Using Response Surface Analysis, Robert A. Goehlich, Ralf Bebenroth
Pilots’ Desire To Become Future Space Tourism Pilots: Polynomial Regression Using Response Surface Analysis, Robert A. Goehlich, Ralf Bebenroth
Publications
In this study, we investigated the impact of pilots’ motivation on their desire to be space tourism pilots or to remain in their current occupation (adherence). We analyzed the feedback obtained from a survey questionnaire on a sample consisting of 106 pilots with flying experience. In particular, we compared the pilots’ intrinsic and extrinsic motivations to investigate two outcomes: the desire to become future space pilots or to remain as air pilots. Applying the self-determination theory, we found that intrinsic motivation mattered more than extrinsic motivation. Furthermore, by applying response surface analysis as our statistical tool, it was revealed that …
Ict Competence Of Polytechnics-Based Lis Students In The Use Of Online Discussion Forum, Lateef Alhaji Bello (Phd), Saheed Abiola Hamzat (Phd), Idris Tunde Yusuf (Cln), Loretta Odiri Daniel (Cln), Mulikat Bola Aliyu (Phd), Abosede Olufunke Ayeni (Cln)
Ict Competence Of Polytechnics-Based Lis Students In The Use Of Online Discussion Forum, Lateef Alhaji Bello (Phd), Saheed Abiola Hamzat (Phd), Idris Tunde Yusuf (Cln), Loretta Odiri Daniel (Cln), Mulikat Bola Aliyu (Phd), Abosede Olufunke Ayeni (Cln)
Library Philosophy and Practice (e-journal)
Online discussion forum (ODF) as an effective pedagogical tool for learning and knowledge construction, designed to make the learning process robust and all-encompassing. It is also expected to facilitate faster and smooth access to learning aid and for individualisation of learning. In spite of its enormous benefits, previous studies have shown that students do not make use of ODF as expected due to factors largely attributed to low level of awareness and perception without recourse to the role of ICT competence could facilitate sustained usage and promote acceptance among students. This study, therefore, investigated ICT competence on the use of …
Characterization Of Small Abdominal Aortic Aneurysms' Growth Status Using Spatial Pattern Analysis Of Aneurismal Hemodynamics, Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, Xiaoming Zhang, Todd E. Rasmussen, Robert D. Mcbane, Jingfeng Jiang
Characterization Of Small Abdominal Aortic Aneurysms' Growth Status Using Spatial Pattern Analysis Of Aneurismal Hemodynamics, Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, Xiaoming Zhang, Todd E. Rasmussen, Robert D. Mcbane, Jingfeng Jiang
Michigan Tech Publications
Aneurysm hemodynamics is known for its crucial role in the natural history of abdominal aortic aneurysms (AAA). However, there is a lack of well-developed quantitative assessments for disturbed aneurysmal flow. Therefore, we aimed to develop innovative metrics for quantifying disturbed aneurysm hemodynamics and evaluate their effectiveness in predicting the growth status of AAAs, specifically distinguishing between fast-growing and slowly-growing aneurysms. The growth status of aneurysms was classified as fast (≥ 5 mm/year) or slow (< 5 mm/year) based on serial imaging over time. We conducted computational fluid dynamics (CFD) simulations on 70 patients with computed tomography (CT) angiography findings. By converting hemodynamics data (wall shear stress and velocity) located on unstructured meshes into image-like data, we enabled spatial pattern analysis using Radiomics methods, referred to as "Hemodynamics-informatics" (i.e., using informatics techniques to analyze hemodynamic data). Our best model achieved an AUROC of 0.93 and an accuracy of 87.83%, correctly identifying 82.00% of fast-growing and 90.75% of slowly-growing AAAs. Compared with six classification methods, the models incorporating hemodynamics-informatics exhibited an average improvement of 8.40% in AUROC and 7.95% in total accuracy. These preliminary results indicate that hemodynamics-informatics correlates with AAAs' growth status and aids in assessing their progression.
Gravimetric Geoid For Egypt Based On Properly Application Of Helmet's Method Of Condensations With Window Remove-Restore Technique, Atef Makhloof, Hussein A. Abd-Elmotaal, Mostafa Ashry
Gravimetric Geoid For Egypt Based On Properly Application Of Helmet's Method Of Condensations With Window Remove-Restore Technique, Atef Makhloof, Hussein A. Abd-Elmotaal, Mostafa Ashry
Mansoura Engineering Journal
This study uses the window-method for merging the gravity field wavelengths inside the remove-restore technique (RRT) to get the gravimetric geoid for Egypt using Helmert's models of condensation. In this case, the window approach (Abd-Elmotaal and Kühtreiber, 2003) was utilized to avert taking the topographic-condensation masses into account twice inside the data frame. A gravimetric geoid for Egypt has been calculated utilizing Helmert's first and second condensations approach and Airy- Heiskanen model. Within the context of the geoid computation, a thorough comparison between the various Helmert approaches and Airy-Heiskanen has been made. The comparison uses the estimated geoid indicators before …
Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby
Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby
Mansoura Engineering Journal
For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …
2023 Alfie Scholars Senior Conference Program, Seattle University
2023 Alfie Scholars Senior Conference Program, Seattle University
Alfie Scholars Conferences
No abstract provided.
Temporal Progression Of Aortic Valve Pathogenesis In A Mouse Model Of Osteogenesis Imperfecta., Kaitlyn Thatcher, Carol R Mattern, Daniel Chaparro, Veronica Goveas, Michael R Mcdermott, Jessica Fulton, Joshua D Hutcheson, Brian Hoffmann, Joy Lincoln
Temporal Progression Of Aortic Valve Pathogenesis In A Mouse Model Of Osteogenesis Imperfecta., Kaitlyn Thatcher, Carol R Mattern, Daniel Chaparro, Veronica Goveas, Michael R Mcdermott, Jessica Fulton, Joshua D Hutcheson, Brian Hoffmann, Joy Lincoln
Faculty Research 2023
Organization of extracellular matrix (ECM) components, including collagens, proteoglycans, and elastin, is essential for maintaining the structure and function of heart valves throughout life. Mutations in ECM genes cause connective tissue disorders, including Osteogenesis Imperfecta (OI), and progressive debilitating heart valve dysfunction is common in these patients. Despite this, effective treatment options are limited to end-stage interventions. Mice with a homozygous frameshift mutation in col1a2 serve as a murine model of OI (oim/oim), and therefore, they were used in this study to examine the pathobiology of aortic valve (AoV) disease in this patient population at structural, functional, and molecular levels. …
The Taming Of The Screw, Jerry Zezima
The Taming Of The Screw, Jerry Zezima
Erma Bombeck Writers' Workshop Blog
You don’t need a master’s degree in nuclear engineering to put furniture together. But I’m glad my son-in-law has one. Otherwise, I wouldn’t have a nice new love seat and a set of matching chairs on the patio.
Book Review: The Military And The Market, Ryan Orsini
Book Review: The Military And The Market, Ryan Orsini
Parameters Bookshelf – Online Book Reviews
Editors: Jennifer Mittelstadt and Mark R. Wilson
Reviewed by Major Ryan Orsini, Infantry officer, US Army
The Military and the Market is filled with historical and political science case studies to help US policymakers and practitioners navigate the interrelationships between the Department of Defense and the private market. The studies present the success and failure “of regulation and adaptation of individual markets, from on-post housing to local prostitution, and their impact on the military mission and overall social equity.” This book is well suited for policymakers and practitioners at the local and national levels.
Skills Matter – Up-Skilling Across Construction Stakeholders For Emerging Roles, Avril Behan, Paul Mccormack, Barry Mcauley
Skills Matter – Up-Skilling Across Construction Stakeholders For Emerging Roles, Avril Behan, Paul Mccormack, Barry Mcauley
Conference Papers
The EU’s Climate Target Plan To 2030 (European Union 2020b) of achieving at least 55% reduction in Green House Gas emissions from 1990 levels, delivering towards a climate-neutral economy by 2050, requires systems-level change in the way we design, construct, and operate our built assets. Funding initiatives, such as co-ordinated by BUILD UP Skills, aim to deliver upskilling to the market but targets set by the European Skills Agenda may not be reached at current achievement levels. This paper presents the results of one completed and the progress of one ongoing Horizon 2020 funded project, BIMcert and ARISE, respectively. Learning …
Application Of Wray-Agarwal Algebraic Transition Model For Computing Transitional Flow Over Naca 4412 Airfoil, Haoyang Li, Dean Ryan-Simmons
Application Of Wray-Agarwal Algebraic Transition Model For Computing Transitional Flow Over Naca 4412 Airfoil, Haoyang Li, Dean Ryan-Simmons
Mechanical Engineering and Materials Science Independent Study
The Wray-Agarwal Algebraic Transition (WA-AT) model has been validated for various ERCOFTAC flat plate cases and airfoil cases. The NACA 4412 is an asymmetric airfoil with unique laminar to turbulent transition characteristics. The NACA 4412 was chosen as a validation case for an undergraduate Independent Study. This paper presents the results of the validation of the Wray-Agarwal Algebraic Transition model for the NACA 4412 airfoil. The one equation WA-AT model shows similar agreement as the four-equation k-ω-SST-γ-Reϴ transition model with experimental data at 3*10^6 Reynolds number for lift coefficient prediction, drag polar, and transition location predictions for an angle of …
Exotic Herbivores And Fire Energy Drive Standing Herbaceous Biomass But Do Not Alter Compositional Patterns In A Semiarid Savanna Ecosystem, Virginia D. Preiss, Carissa L. Wonkka, Devan A. Mcgranahan, Alexandra G. Lodge, Matthew B. Dickinson, Kathleen L. Kavanagh, Heath D. Starns, Douglas R. Tolleson, Morgan L. Treadwell, Dirac L. Twidwell Jr, William E. Rogers
Exotic Herbivores And Fire Energy Drive Standing Herbaceous Biomass But Do Not Alter Compositional Patterns In A Semiarid Savanna Ecosystem, Virginia D. Preiss, Carissa L. Wonkka, Devan A. Mcgranahan, Alexandra G. Lodge, Matthew B. Dickinson, Kathleen L. Kavanagh, Heath D. Starns, Douglas R. Tolleson, Morgan L. Treadwell, Dirac L. Twidwell Jr, William E. Rogers
Department of Agronomy and Horticulture: Faculty Publications
Questions: Fire regime alterations are pushing open ecosystems worldwide past tipping points where alternative steady states characterized by woody dominance prevail. This reduces the frequency and intensity of surface fires, further limiting their effectiveness for controlling cover of woody plants. In addition, grazing pressure (exotic or native grazers) can reinforce woody encroachment by potentially reducing fine-fuel loads. We investigated the effects of different fire energies on the herbaceous plant community, together with mammalian wildlife herbivory (exotic and native combined) exclusion, to inform best management practices.
Location: Texas semi-arid savanna, southern Great Plains, USA.
Methods: We conducted an …
Labor Mobility And The Affordable Care Act: Heterogeneous Impacts Of The Preexisting Conditions Provision, Laura Connolly, Matt Hampton, Otto Lenhart
Labor Mobility And The Affordable Care Act: Heterogeneous Impacts Of The Preexisting Conditions Provision, Laura Connolly, Matt Hampton, Otto Lenhart
Michigan Tech Publications
The Patient Protection and Affordable Care Act (ACA) preexisting conditions provision ensures that insurance companies can no longer deny coverage, charge higher premiums, or exclude coverage due to a preexisting health condition. In this paper, we evaluate the impact of the provision on labor mobility. We use data from the Panel Study of Income Dynamics for years 2009 through 2019 and estimate difference-in-differences models to determine whether the provision improved labor mobility for individuals with chronic conditions. While females respond along the extensive margin by being less likely to work, males experience broader labor mobility improvements. Men are more likely …
In Silico Prediction Of Acute Chemical Toxicity Of Biocides In Marine Crustaceans Using Machine Learning, Rama Krishnan, Ian S. Howard, Sean Comber, Awadhesh N. Jha
In Silico Prediction Of Acute Chemical Toxicity Of Biocides In Marine Crustaceans Using Machine Learning, Rama Krishnan, Ian S. Howard, Sean Comber, Awadhesh N. Jha
School of Engineering, Computing and Mathematics
Biocides are a heterogeneous group of chemical substances intended to control the growth or kill undesired organisms. Due to their extensive use, they enter marine ecosystems via non-point sources and may pose a threat to ecologically important non-target organisms. Consequently, industries and regulatory agencies have recognized the ecotoxicological hazard potential of biocides. However, the prediction of biocide chemical toxicity on marine crustaceans has not been previously evaluated. This study aims to provide in silico models capable of classifying structurally diverse biocidal chemicals into different toxicity categories and predict acute chemical toxicity (LC50) in marine crustaceans using a set of calculated …
Impact Of Retinoic Acid Receptor Alpha Conditional Knockout On Ovarian Follicle Development In The Mouse, Zlata Bogin
Impact Of Retinoic Acid Receptor Alpha Conditional Knockout On Ovarian Follicle Development In The Mouse, Zlata Bogin
College of Science and Health Theses and Dissertations
When there is abnormal endocrine signaling in the follicles, infertility, and ovarian diseases such as polycystic ovarian syndrome (PCOS), premature ovarian failure (POF), and different types of ovarian cancers may occur. Retinoic acid (RA), a biologically active derivative of vitamin A, is a critical signaling molecule that plays a vital role in various physiological processes, including embryonic development, tissue differentiation, and reproductive function. RA has been observed to influence granulosa cell proliferation through a cell signaling cascade involving Retinoic Acid Receptors (RARs), which have three isoforms alpha, beta, and gamma. We characterized a new retinoic acid receptor alpha (RARA) conditional …
Observations Of 25 Ghz Methanol Masers In W51a, Peter Wagstaff
Observations Of 25 Ghz Methanol Masers In W51a, Peter Wagstaff
College of Science and Health Theses and Dissertations
High mass stars are important because they alone are responsible for creating the heavy elements in the Universe. The observation of high mass star formation remains a challenging problem in astronomy because high mass stars form in densely clustered environments at large distances from us. Therefore, high angular resolution observations are required to unravel the action taking place in these dense environments. Masers can be used to observe distant regions with high angular resolution because masers are compact and bright sources. Class I methanol masers are believed to form in outflows from protostars where the shock generated by the outflowing …
Phytochemical Profile And Cervical Anticancer Activity Of An In Vitro N-Hexane Extract Of Kunto Dewo Fruit (Kigelia Pinnata) Peel And Flesh, Swarnasari Nurandita Isbandiputri, Surya Dwira, Diyah Kristanty
Phytochemical Profile And Cervical Anticancer Activity Of An In Vitro N-Hexane Extract Of Kunto Dewo Fruit (Kigelia Pinnata) Peel And Flesh, Swarnasari Nurandita Isbandiputri, Surya Dwira, Diyah Kristanty
Indonesian Journal of Medical Chemistry and Bioinformatics
Cervical cancer is the fourth highest cancer occurring and causes death in women. Therefore, adequate management is needed to prevent its development. Currently, the treatment has a variety of adverse side effects, so it needs alternative treatments that are supportive and with minimal side effects. One way is to use herbal plants, such as the Kunto Dewo (Kigelia pinnata) plant which is often used as traditional medicine. This plant has antimicrobial and cytotoxic effects on cancer cells. Knowing the phytochemical profile and in-vitro anticancer activity of the n-hexane extract of peel and flesh of Kunto Dewo (Kigelia pinnata) fruit against …
Acquiring Commanding Heights Of “Gallium System” Semiconductor Technology, Assisting In Achievement Of The First Breakthrough In Optoelectronic Information Industry, Yun Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Pathways For Medium- And Long-Term Sustainable Supply Of Typical Strategic Metals In China In Context Of Carbon Neutrality, Xianlai Zeng, Jinhui Li, Yong Geng, Han Hao, Weirun Huang, Xin Sun
Pathways For Medium- And Long-Term Sustainable Supply Of Typical Strategic Metals In China In Context Of Carbon Neutrality, Xianlai Zeng, Jinhui Li, Yong Geng, Han Hao, Weirun Huang, Xin Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
Mineral resources are fundamental materials for economic and social development. Irrational exploration, utilization and consumption not only undermine the security of industrial chain and supply chain, but also seriously damage ecosystem. A new round of technological revolution and carbon neutral strategy is reshaping the global innovation distribution and technical structure. As China's economic and social development advances into post-epidemic stage, the supply and demand structure of strategic metal resources has experienced profound changes. The security challenges extend from traditional security of access to resource to the entire chains, including extraction, processing, use and recycling. China's solid waste generation has grown …
Study And Policy Suggestions On International Competitive Advantage Of Manufacturing Industry Among China, United States, Japan, And Germany, Xin Guo, Jingjing Zhang, Kangwei Chi, Jingjing Guo
Study And Policy Suggestions On International Competitive Advantage Of Manufacturing Industry Among China, United States, Japan, And Germany, Xin Guo, Jingjing Zhang, Kangwei Chi, Jingjing Guo
Bulletin of Chinese Academy of Sciences (Chinese Version)
Strengthening the competitive advantage of manufacturing and promoting its high-quality development are the key points to build a modern industrial system. This study uses international market share (MS), revealed comparative advantage (RCA), trade competition index (TCI), and price index (PI) from 2005 to 2020 to analyze the evolution of manufacturing competitive advantage and its main sources in major countries. The main findings are as follows. China's labor-intensive industries maintain a strong international competitive advantage, and the international competitive advantage of some capital and technology-intensive industries is increasing. The capital and technology intensive industries in Germany, Japan, and United States have …
Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu
Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a …
Current Conditions, Issues, And Suggestions For Ecological Protection And High-Quality Development In Loess Plateau, Bojie Fu, Yansui Liu, Zhi Cao, Zhuangzhuang Wang, Xutong Wu
Current Conditions, Issues, And Suggestions For Ecological Protection And High-Quality Development In Loess Plateau, Bojie Fu, Yansui Liu, Zhi Cao, Zhuangzhuang Wang, Xutong Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The ecological protection and high-quality development of the Yellow River Basin has been prioritized as a national strategy. The release and implementation of the Outline of the Yellow River Basin's Ecological Protection and High-quality Development Plan in 2021 have placed the Loess Plateau, located in the middle reach of the Yellow River, in a critical phase characterized by the need to sustain ecological restoration achievements while fostering socioeconomic progress. This study provides a comprehensive overview of the current conditions and issues related to ecological construction and socioeconomic development in the Loess Plateau. It proposes four specific suggestions focusing on improving …
Paradigm Review Of Data Localization In India And Its Implications For China, Ying Fan
Paradigm Review Of Data Localization In India And Its Implications For China, Ying Fan
Bulletin of Chinese Academy of Sciences (Chinese Version)
Data localization is a focal point of global data governance and its impact on global data governance is no longer confined to a single country. Over the years, India has followed a unique policy framework in terms of cross-border data flows and data localization, and its insistence on data sovereignty reflects its position in the international arena. This study uses the Indian data localization paradigm as a research base to discuss the common phenomenon of disconnect between policy motivations and practical effects of data localization, and as an entry point to introduce the latest Indian research findings in this area. …
On Digital Productivity Base Of Policies For Cross-Border Data Flows Between Rcep Parties And Its Influences—Taking Digital Integration Index As A Reference, Gui Huang, Ru Tao
On Digital Productivity Base Of Policies For Cross-Border Data Flows Between Rcep Parties And Its Influences—Taking Digital Integration Index As A Reference, Gui Huang, Ru Tao
Bulletin of Chinese Academy of Sciences (Chinese Version)
This study reviews the newest legislation and policies of Regional Comprehensive Economic Partnership (RCEP) participating countries on cross-border data flow, and then categorized them according to the ban on data transfer, local storage of data, permission-based regulation, and standards-based regulation. By referring to the indexes in the ASEAN Digital Integration Index, the subject and object factors of digital productivity in RCEP parities are sorted out, as well as the status quo of digital economy. Through the introduction of data value chain theory, the decisive impact of digital productivity factors on the policy formulation of cross-border data flow is expounded; by …
Research On Multi-Source Heterogeneous Big Data Fusion Based On Wsr, Aihua Li, Weijia Xu, Yong Shi
Research On Multi-Source Heterogeneous Big Data Fusion Based On Wsr, Aihua Li, Weijia Xu, Yong Shi
Bulletin of Chinese Academy of Sciences (Chinese Version)
In the era of multi-source heterogeneous big data, big data presents new features such as cross, diversity and variability. The applications of big data in a wider range of fields have new requirements for data fusion. Under this background, the connotation of data fusion is enriched and expanded. The generalized data fusion includes the fusion of data resources, the fusion of model methods, and the fusion of decision-makers' knowledge and experience. This study analyzes the characteristics of multi-source heterogeneous data fusion at three different fusion levels: data level, information level and decision level, and discusses challenges for data fusion in …
Progress And Development Suggestions For Psychological Research On Climate Change, Yan Sun, Xuefeng Chen, Yuanchao Gong, Jianchi Tian, Zeyu Ji, Yang Li, Hongyan Guo, Jin Han, Linxiu Zhang
Progress And Development Suggestions For Psychological Research On Climate Change, Yan Sun, Xuefeng Chen, Yuanchao Gong, Jianchi Tian, Zeyu Ji, Yang Li, Hongyan Guo, Jin Han, Linxiu Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The public's psychological reactions to climate change, including cognition, attitude, emotions, and affects, are important psychological antecedents to their participation in the mitigation of and adaptation to climate change crisis. As a result, tracking, monitoring, and learning about these individuals' psychological reactions to climate change would lay the foundation for climate change education, mass media communication, and successful implementation of climate policies. The current study systematically summarizes the multi-dimensional factors influencing individuals' psychological reactions to climate change, and proposes suggestions for the development of psychological research on climate change and for climate actions. Hopefully, this study would raise the awareness …
Verifying Empirical Predictive Modeling Of Societal Vulnerability To Hazardous Events: A Monte Carlo Experimental Approach, Yi Victor Wang, Seung Hee Kim, Menas C. Kafatos
Verifying Empirical Predictive Modeling Of Societal Vulnerability To Hazardous Events: A Monte Carlo Experimental Approach, Yi Victor Wang, Seung Hee Kim, Menas C. Kafatos
Institute for ECHO Articles and Research
With the emergence of large amounts of historical records on adverse impacts of hazardous events, empirical predictive modeling has been revived as a foundational paradigm for quantifying disaster vulnerability of societal systems. This paradigm models societal vulnerability to hazardous events as a vulnerability curve indicating an expected loss rate of a societal system with respect to a possible spectrum of intensity measure (IM) of an event. Although the empirical predictive models (EPMs) of societal vulnerability are calibrated on historical data, they should not be experimentally tested with data derived from field experiments on any societal system. Alternatively, in this paper, …
Magdm Model Using The Aczel-Alsina Aggregation Operators Of Neutrosophic Entropy Elements In The Case Of Neutrosophic Multi-Valued Sets, Weiming Li, Jun Ye, Ezgi Türkarslan
Magdm Model Using The Aczel-Alsina Aggregation Operators Of Neutrosophic Entropy Elements In The Case Of Neutrosophic Multi-Valued Sets, Weiming Li, Jun Ye, Ezgi Türkarslan
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Pseudo-T-Norm And Its Derived Neutrosophic Residual Implication, Hongru Bu, Qingqing Hu, Xiaohong Zhang
Neutrosophic Pseudo-T-Norm And Its Derived Neutrosophic Residual Implication, Hongru Bu, Qingqing Hu, Xiaohong Zhang
Neutrosophic Sets and Systems
No abstract provided.
Multicriteria Decision Making On 3d Printers For Economic Manufacturing Using Neutrosophic Environment, D. Nagarajan, V.M. Gobinath, Said Broumi
Multicriteria Decision Making On 3d Printers For Economic Manufacturing Using Neutrosophic Environment, D. Nagarajan, V.M. Gobinath, Said Broumi
Neutrosophic Sets and Systems
No abstract provided.