scholarly journals A Bibliometric and Visual Analysis of Global Urban Resilience Research in 2011–2020: Development and Hotspots

2021 ◽  
Vol 14 (1) ◽  
pp. 229
Author(s):  
Ping Guo ◽  
Qin Li ◽  
Haidong Guo ◽  
Huimin Li ◽  
Lingbo Yang
Keyword(s):  
Environmental Science ◽  
Visual Analysis ◽  
Knowledge Structure ◽  
The United States ◽  
Urban Ecosystem ◽  
Urban Landscapes ◽  
Urban Resilience ◽  
Research Topics ◽  
Subject Categories

Urban resilience (UR), which promotes the implementation of resilient cities, has received widespread attention. The purpose of this study is to visualize the knowledge background, research status, and knowledge structure of relevant literatures by using a Citespace based scientometrics survey. The results show that UR is an increasingly popular topic, with 2629 articles published during the study period. (1) The most prolific publications and journals involved in the flourishment of UR research were identified by co-citation. The United States was the most productive contributor, with numerous publications and active institutions. Journal of Cleaner Production, Sustainability, International Journal of Disaster Risk Reduction were the three most cited journals. (2) Co-occurrence analysis was employed to determine the highly productive keywords, and subject categories in the UR domain, including “environmental science & ecology”, “environmental sciences, “science & technology”, “environmental studies”, “green & sustainable science & technology”, and “water resources”. (3) The diversity of highly cited authors in different countries and regions confirmed the evolution of UR studies. (4) Furthermore, the classification of UR knowledge was performed in the form of clusters and knowledge structure to achieve ten distinct sub-domains (e.g., Urban floods and stormwater management, Urban ecosystem services, Urban landscapes, and Trauma). This study provides an overview of UR research and research topics so that future researchers can identify their research topics and partners.

scholarly journals Towards Local Forms of Sprawl: A Brief Reflection on Mediterranean Urbanization

2020 ◽  
Vol 12 (2) ◽  
pp. 582 ◽  
Author(s):  
Gianluca Egidi ◽  
Sirio Cividino ◽  
Sabato Vinci ◽  
Adele Sateriano ◽  
Rosanna Salvia
Keyword(s):  
Visual Analysis ◽  
Spatial Scales ◽  
The United States ◽  
Integrated Analysis ◽  
Urban Landscapes ◽  
Southern Europe ◽  
Urban Dispersion ◽  
Socioeconomic Context ◽  
Form Function ◽  
Definition Of

Urban sprawl is a complex phenomenon that requires a comprehensive reflection on the most significant patterns and underlying processes. While the “sprawl” notion parallels hegemonic concepts such as economic competitiveness, social cohesion, and polycentric development, an integrated analysis of sprawl patterns and processes in paradigmatic socioeconomic contexts is increasingly required to reconcile different disciplinary visions, contributing to a holistic interpretation of metropolitan change. At the same time, sprawl is an increasingly evident product of local socioeconomic contexts all over the world. A comprehensive investigation of multifaceted, form–function relationships underlying sprawl—based on a quali-quantitative analysis of representative cases—is a crucial pre-requisite of both monitoring and policy actions at multiple spatial scales, from urban/regional to national/continental levels. The present contribution proposes a contextualization of the sprawl notion in Southern Europe—a socioeconomic context characterized by compact and continuous urbanization for a long time. An integrated approach based on a visual analysis of urban and peri-urban landscapes—integrated with an extended literature survey—allows for a definition of a specific sprawl model in Southern Europe, sharing some features with the United States ideal type of sprawl and showing peculiarities with respect to common models of urban dispersion typical of Northern and Western Europe. Policies aimed at containing urban dispersion may definitely benefit from a local-based definition of sprawl, considering the specificity of form–function relationships and the underlying socioeconomic context.

scholarly journals Updating OMERACT Core Set of Domains for ANCA-associated Vasculitis: Patient Perspective Using the International Classification of Function, Disability, and Health

2019 ◽  
Vol 46 (10) ◽  
pp. 1415-1420 ◽  
Author(s):  
Nataliya Milman ◽  
Eilish McConville ◽  
Joanna C. Robson ◽  
Annelies Boonen ◽  
Peter Tugwell ◽  
...  
Keyword(s):  
The United States ◽  
International Classification ◽  
Antineutrophil Cytoplasmic Antibodies ◽  
Personal Factors ◽  
Disability And Health ◽  
Individual Interviews ◽  
The United Kingdom ◽  
Anca Associated Vasculitis ◽  
Core Set

Objective.Aspects of antineutrophil cytoplasmic antibodies–associated vasculitis (AAV) prioritized by patients with AAV were described using the International Classification of Function, Disability, and Health (ICF).Methods.Items identified during 14 individual interviews were incorporated into an ICF-based questionnaire administered to participants of 2 vasculitis patient symposia: 36 in the United Kingdom and 63 in the United States.Results.Categories identified as at least “moderately relevant” by ≥ 5% of subjects included 44 body functions, 14 body structures, 35 activities and participation, 31 environmental factors, and 38 personal factors.Conclusion.Identified categories differ from those identified by the current Outcome Measures in Rheumatology (OMERACT) core set and those prioritized by vasculitis experts.

scholarly journals New Visualization Models of Designation Pathway and Group Categorization of Device–Drug and Device–Biologic Combination Products Classification in the United States: Analysis of FDA Capsular Decisions

2021 ◽  
Author(s):  
Nobuo Uemura ◽  
Hiroshi Kasanuki ◽  
Mitsuo Umezu
Keyword(s):  
The United States ◽  
New Combination ◽  
Biological Product ◽  
Regulatory Scheme ◽  
Early Access ◽  
Dimensional Group ◽  
Device Component ◽  
Intended Use ◽  
Component Function

Abstract Objective The developer and sponsor of new combination products in US needs to forecast which classification and designation to the regulatory scheme of drug, biological product, or device would be required for the new products by the Food and Drug Administration (FDA). To improve the predictability and acceptability of the designation of new combination products for innovators, developers, and sponsors, and to encourage the development and early access of new combination products, we proposed new visualization models of the designation pathway and group categorization. Method We searched the website of the FDA on 15 November, 2020 to identify the regulatory scheme of the FDA’s 129 capsular decision cases of device–drug and device–biologics combination products and other publicly available cases the FDA designated to the drug/biologic or device regulatory scheme. Results By introducing a new definition for primary intended use (PIU) by developers and sponsors extracted from the classification factors of primary mode of action (PMOA), we developed new visualization models of the designation pathway and two-dimensional group categorization. And applying these models to the cases the FDA designated, we proposed a new group categorization of combination products while focusing on the device component function. Conclusions The new visualization models with PIU and PMOA and the new group categorization focusing on the device component function proposed in this study may increase predictability and acceptability of the classification of newly developed combination products into the regulatory scheme of drug, biological product, and device, for innovators, developers, and sponsors.

scholarly journals “How Do We Actually Do Convergence” for Disaster Resilience? Cases from Australia and the United States

2021 ◽  
Author(s):  
Shefali Juneja Lakhina ◽  
Elaina J. Sutley ◽  
Jay Wilson
Keyword(s):  
United States ◽  
Research Policy ◽  
Well Being ◽  
The United States ◽  
First Century ◽  
Urban Resilience ◽  
South Wales ◽  
Systemic Risks ◽  
Work Community ◽  
Research Findings

AbstractIn recent years there has been an increasing emphasis on achieving convergence in disaster research, policy, and programs to reduce disaster losses and enhance social well-being. However, there remain considerable gaps in understanding “how do we actually do convergence?” In this article, we present three case studies from across geographies—New South Wales in Australia, and North Carolina and Oregon in the United States; and sectors of work—community, environmental, and urban resilience, to critically examine what convergence entails and how it can enable diverse disciplines, people, and institutions to reduce vulnerability to systemic risks in the twenty-first century. We identify key successes, challenges, and barriers to convergence. We build on current discussions around the need for convergence research to be problem-focused and solutions-based, by also considering the need to approach convergence as ethic, method, and outcome. We reflect on how convergence can be approached as an ethic that motivates a higher order alignment on “why” we come together; as a method that foregrounds “how” we come together in inclusive ways; and as an outcome that highlights “what” must be done to successfully translate research findings into the policy and public domains.

scholarly journals Survey of Saliva Components and Virus Sensors for Prevention of COVID-19 and Infectious Diseases

Biosensors ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 14
Author(s):  
Priya Dave ◽  
Roberto Rojas-Cessa ◽  
Ziqian Dong ◽  
Vatcharapan Umpaichitra
Keyword(s):  
Infectious Diseases ◽  
Dental Health ◽  
The United States ◽  
Human Saliva ◽  
Field Application ◽  
Future Research ◽  
Prevention Measures ◽  
Control And Prevention ◽  
Close Distance

The United States Centers for Disease Control and Prevention considers saliva contact the lead transmission mean of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19). Saliva droplets or aerosols expelled by sneezing, coughing, breathing, and talking may carry this virus. People in close distance may be exposed directly to these droplets or indirectly when touching the droplets that fall on surrounding surfaces and ending up contracting COVID-19 after touching the mucosa tissue of their faces. It is of great interest to quickly and effectively detect the presence of SARS-CoV-2 in an environment, but the existing methods only work in laboratory settings, to the best of our knowledge. However, it may be possible to detect the presence of saliva in the environment and proceed with prevention measures. However, detecting saliva itself has not been documented in the literature. On the other hand, many sensors that detect different organic components in saliva to monitor a person’s health and diagnose different diseases, ranging from diabetes to dental health, have been proposed and they may be used to detect the presence of saliva. This paper surveys sensors that detect organic and inorganic components of human saliva. Humidity sensors are also considered in the detection of saliva because a large portion of saliva is water. Moreover, sensors that detect infectious viruses are also included as they may also be embedded into saliva sensors for a confirmation of the presence of the virus. A classification of sensors by their working principles and the substances they detect is presented, including the sensors’ specifications, sample size, and sensitivity. Indications of which sensors are portable and suitable for field application are presented. This paper also discusses future research and challenges that must be resolved to realize practical saliva sensors. Such sensors may help minimize the spread of not only COVID-19 but also other infectious diseases.

scholarly journals Integrating structure and function: mapping the hierarchical spatial heterogeneity of urban landscapes

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuguo Qian ◽  
Weiqi Zhou ◽  
Steward T. A. Pickett ◽  
Wenjuan Yu ◽  
Dingpeng Xiong ◽  
...  
Keyword(s):  
Land Cover ◽  
Spatial Heterogeneity ◽  
Urban Ecosystem ◽  
Tree Canopy ◽  
Urban Landscapes ◽  
Shenzhen City ◽  
Object Based ◽  
Level 3 ◽  
Industrial Zones ◽  
Level 2

Abstract Background Cities are social-ecological systems characterized by remarkably high spatial and temporal heterogeneity, which are closely related to myriad urban problems. However, the tools to map and quantify this heterogeneity are lacking. We here developed a new three-level classification scheme, by considering ecosystem types (level 1), urban function zones (level 2), and land cover elements (level 3), to map and quantify the hierarchical spatial heterogeneity of urban landscapes. Methods We applied the scheme using an object-based approach for classification using very high spatial resolution imagery and a vector layer of building location and characteristics. We used a top-down classification procedure by conducting the classification in the order of ecosystem types, function zones, and land cover elements. The classification of the lower level was based on the results of the higher level. We used an object-based methodology to carry out the three-level classification. Results We found that the urban ecosystem type accounted for 45.3% of the land within the Shenzhen city administrative boundary. Within the urban ecosystem type, residential and industrial zones were the main zones, accounting for 38.4% and 33.8%, respectively. Tree canopy was the dominant element in Shenzhen city, accounting for 55.6% over all ecosystem types, which includes agricultural and forest. However, in the urban ecosystem type, the proportion of tree canopy was only 22.6% because most trees were distributed in the forest ecosystem type. The proportion of trees was 23.2% in industrial zones, 2.2% higher than that in residential zones. That information “hidden” in the usual statistical summaries scaled to the entire administrative unit of Shenzhen has great potential for improving urban management. Conclusions This paper has taken the theoretical understanding of urban spatial heterogeneity and used it to generate a classification scheme that exploits remotely sensed imagery, infrastructural data available at a municipal level, and object-based spatial analysis. For effective planning and management, the hierarchical levels of landscape classification (level 1), the analysis of use and cover by urban zones (level 2), and the fundamental elements of land cover (level 3), each exposes different respects relevant to city plans and management.

Classification of Technological Development Trends Based on the Analysis of US Patent Time Series. An Empirical Approach

2021 ◽  
pp. 251-278
Author(s):  
Vladimir I. Karnyshev ◽  
◽  
Vladimir I. Avdzeyko ◽  
Evgenia S. Paskal ◽  
◽  
...  
Keyword(s):  
Time Series ◽  
New Technologies ◽  
Practical Interest ◽  
The United States ◽  
Direct Access ◽  
Investment Planning ◽  
Short Term ◽  
Development Trends ◽  
Technical Problems

The forecasting of development trends and the timely revealing of new technical (technological) fields are the key prerequisite for an effective development of modern economy. Only reliable results of technological analysis (forecast) allow identifying new technologies, understanding the evolution of entire industries, carrying out strategic investment planning at the state level, and also planning R&D correctly. The aim of this work is to justify one of the possible approaches to the classification of technical (technological) fields in terms of assessing their relevance, novelty and short-term prospects. This approach is based on patent analysis, in particular, on the study of the time series features of US invention patents (1976-2018) for more than seventy-three thousand main groups (subgroups) of the 17th edition of the International Patent Classification (IPC17). The United States Patent and Trademark Office (USPTO) has been selected as the primary source of information because it is one of the world’s largest and constantly updated patent resources, providing direct access to full-text descriptions. In the authors’ opinion, a feature analysis of the US patent issue dynamics at time intervals (1976-2015, 2009-2018 and 2016-2018) allows dividing the IPC groups (subgroups) into the following three main clusters: “unpromising”, “promising” and “breakthrough”. In terms of the timely revealing of new, previously unknown, technologies or solutions in the technical field, or of the steadily growing technological trends, the “breakthrough” and “promising” subgroups are of the greatest practical interest. The article presents the results of an empirical classification of 71,266 subgroups (with a non-zero number of the issued patents since 1976 to 2018) in eight sections of the IPC17. These data may be useful for developers, researchers and R&D planners in solving complex scientific and technical problems, as well as for making short-term forecast estimates of a specific technical (technological) field development.

Abstract 88: Increasing False Positive Diagnoses May Lead to Overestimation of Stroke Incidence, Particularly in the Young

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Abhinav J Appukutty ◽  
Lesli E Skolarus ◽  
Mellanie V Springer ◽  
William J Meurer ◽  
James F Burke
Keyword(s):  
Older Adults ◽  
False Positive ◽  
Age Groups ◽  
Vascular Risk Factor ◽  
The United States ◽  
Cross Sectional ◽  
Stroke Incidence ◽  
Ed Visits ◽  
Over Time

Introduction: Stroke incidence is reportedly increasing in younger adults. While increasing vascular risk factor prevalence has been suggested as a cause, the reasons for rising stroke incidence in the young are not clear. We explored several alternate explanations: trends in neurologically-focused emergency department (ED) visits, differential diagnostic classification of stroke and TIA over time, and changes in the use of advanced imaging in young and older adults. Methods: We performed a retrospective, serial, cross-sectional study on a nationally representative sample of all ED visits in the United States to quantify changes in patterns of neurologically-focused ED visits, stroke and TIA diagnoses, and rates of MRI utilization for young (18 – 44 years) and older (65+ years) adults over a 17-year period (1995 – 2000; 2005 – 2015) using National Hospital Ambulatory Medical Care Survey (NHAMCS) data. Results: In young adults, 0.4% (95% CI 0.3% – 0.5%) of neurologically-focused ED visits resulted in a primary diagnosis of stroke vs. 6.8% (95% CI 6.2% – 7.5%) for older adults. In both populations, the incidence of neurologically-focused ED visits has increased over time (+111/100,000 population/year, 95% CI +94 – +130 in the young vs. +70/100,000 population/year, 95% CI +34 – +108 in older adults). There was no evidence of differential classification of TIA to stroke over time (OR 1.001 per year, 95% CI 0.926 – 1.083 in the young; OR 1.003 per year, 95% CI 0.982 – 1.026 in older adults) and no evidence of disproportionate rise in MRI utilization for neurologically-focused ED visits in the young (OR 1.057 per year, 95% CI 1.028 – 1.086 in the young; OR 1.095 per year, 95% CI 1.066 – 1.125 in older adults). Conclusions: If the specificity of stroke diagnosis amongst ED visits is similar amongst young and older populations, then the combination of data observed here, including (1) a lower prior probability of stroke diagnoses in the young and (2) an increasing trend in neurologically-focused ED visits in both age groups, suggests that false positive diagnoses will increase over time, with a faster rise in the young compared to older adults. These data suggest a potential explanation that may contribute to higher stroke incidence in the young and merits further scrutiny.

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