Review
Information Science & Library Science
Anand Jeyaraj
Summary: Habit has been modeled in various ways in IS research, leading to inconsistent empirical findings on its relationships. This study suggests that variations in results may be due to different habit models and study characteristics, which were explored through a meta-analysis and review.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Environmental Sciences
Mercedes Arauzo, Maria Valladolid, Delia M. Andries
Summary: This study improved the delineation of nitrate vulnerable zones (NVZs) by introducing a new parameter representing soil permeability risk in the Land Use-Intrinsic Vulnerability (LU-IV) procedure. The results indicated that the original LU-IV procedure is the best method for accurately delineating NVZs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Multidisciplinary Sciences
Shiau Wei Chan, Sheikh Kamran Abid, Noralfishah Sulaiman, Umber Nazir, Kamran Azam
Summary: The world has been faced with numerous disasters, but flood impacts have gained significant importance and attention due to their adverse effects. Flood vulnerability assessment is essential for better understanding flood hazard management. Geographic information systems play a crucial role in tracking and predicting disaster trends and mitigating risks and damages. This study reviews methodologies used to measure floods and their vulnerabilities, highlighting the importance of integrating high-resolution data with a multidimensional vulnerability methodology.
Article
Agronomy
Hideki Nakata, Seiichi Ogata
Summary: Agrivoltaic systems (AVSs) increase land use efficiency by producing electricity and food simultaneously, addressing the competition for land use between electricity and food. This study developed an AVS installation model compatible with the regional society and limiting installation scale to a low-risk level, while also exploring the economic benefits of AVS projects entering local industrial clusters.
Article
Biodiversity Conservation
Yebao Wang, Peipei Du, Baijing Liu, Shanzhi Sheng
Summary: This study developed an oil-spill environmental-vulnerability model to assess the vulnerability of mariculture areas. The results showed spatial variations in vulnerability among different zones, with the Miaodao Archipelago zone being extremely vulnerable. Sensitivity and exposure strongly influenced vulnerability, while adaptability had less effect. The study highlights the importance of enhancing adaptability to reduce vulnerability and benefit marine aquaculture stakeholders.
ECOLOGICAL INDICATORS
(2023)
Article
Computer Science, Information Systems
Jonathan M. Spring
Summary: The vulnerability management strategy depends on the supply of undiscovered vulnerabilities. If the number of undiscovered vulnerabilities is small, focus on finding and removing them; if it is large, focus on quick patch dissemination and engineering resilient systems. This paper examines the paradigm that the number of undiscovered vulnerabilities is small and finds little support for it. It recommends an approach favoring quick patch dissemination and engineering resilient systems, while continuing good software engineering practices.
COMPUTERS & SECURITY
(2023)
Article
Oceanography
Elvira Armenio, Michele Mossa, Antonio Felice Petrillo
Summary: The recent COVID-19 pandemic has had a significant impact on global tourism and coastal areas, highlighting the need for timely control and management measures to prevent virus transmission. Coastal environments are vulnerable to changes and require careful assessment of interventions or strategies.
OCEAN & COASTAL MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Wen Zeng, Maciej Koutny
Summary: This paper explores the information flow security of federated cloud systems, proposing a secure model and introducing the concept of opacity, with various quantitative analyses of opacity presented.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Geography
C. Y. Lam, K. Tai, A. M. Cruz
Summary: This study proposes a network-GIS modeling framework to construct a risk map for infrastructure vulnerability to seismic hazards, considering the cascading effects of earthquakes. By analyzing earthquake incident data and predicting seismic characteristics, the study identifies vulnerable infrastructure types and develops infrastructure vulnerability and seismic hazard maps. The results demonstrate the complex interdependencies and cascading consequences of earthquakes on infrastructure, providing valuable insights for risk assessment and mitigation strategies.
Article
Oncology
Kevin A. Henry, Daniel Wiese, Aniruddha Maiti, Gerald Harris, Slobodan Vucetic, Antoinette M. Stroup
Summary: Geographic clustering of CTCL cases in New Jersey based on past residences is evident. Further studies are needed to understand the reasons for the higher incidence of CTCL in this specific area in the 8-14 years prior to diagnosis.
CANCER CAUSES & CONTROL
(2021)
Article
Environmental Sciences
Carlo Navarra, Katerina Vrotsou, Tomasz Opach, Almar Joling, Julie Wilk, Tina-Simone Neset
Summary: This paper describes the progressive development of three approaches with successively increasing analytic functionality for visually exploring and analyzing climate-related volunteered geographic information. The approaches include an initial map application, a visual analysis prototype, and a final custom-made visual analysis interface. These methods are evaluated using volunteered data collected in two campaigns held in Norrkoping, Sweden.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Geography, Physical
Dan Wanyama, Bandana Kar, Nathan J. Moore
Summary: The study characterized ecological and environmental vulnerability of the Mount Elgon ecosystem using spatial and temporal principal component analysis, identifying savanna regions in Uganda as most vulnerable and noting an increase in vulnerability with decreasing elevation. Precipitation concentration was found to intensify during the wet season, potentially endangering agriculture and community livelihoods. Areas in moderate and severe vulnerability were identified for prioritized conservation efforts.
GISCIENCE & REMOTE SENSING
(2021)
Article
Environmental Sciences
Lin Zou, Bisong Hu, Shuhua Qi, Qianqian Zhang, Pan Ning
Summary: The main habitats of Siberian cranes in Poyang Lake wetland exhibit a gradual decrease in fragmentation over time, with uncertain shape complexity and relatively stable connectivity. These habitats show a consistent spatial pattern of highly aggregated distributions, with hot spots mainly located in specific areas.
Article
Public, Environmental & Occupational Health
Fernanda Siqueira Malta, Eduarda Marques da Costa
Summary: This study aims to identify, describe, and analyze populations in situations of socio-environmental vulnerability in Rio de Janeiro by integrating multiple indicators into a comprehensive index - the Socio-Environmental Vulnerability Index. The results show that socio-environmental vulnerability in Rio de Janeiro is exacerbated by at-risk situations and environmental degradation, particularly affecting the most disadvantaged groups living in slum areas. Therefore, the study concludes about the importance of these tools in guiding resource allocation and formulating more effective public policies.
INTERNATIONAL JOURNAL OF PUBLIC HEALTH
(2021)
Article
Public, Environmental & Occupational Health
Amy Wolkin, Sarah Collier, John House, David Reif, Alison Motsinger-Reif, Lindsey Duca, Danielle Sharpe
Summary: This article describes the three vulnerability indices used by the CDC for the COVID-19 response, including the CDC Social Vulnerability Index (CDC-SVI), the US COVID-19 Community Vulnerability Index (CCVI), and the Pandemic Vulnerability Index (PVI). These indices provide important information for public health officials to understand the vulnerability of communities to disease and help plan resources and interventions.
PUBLIC HEALTH REPORTS
(2022)
Article
Green & Sustainable Science & Technology
Cyndi Castro, Hanadi S. Rifai
Summary: This research focuses on developing a National Spatial Data Infrastructure system for nature-based solutions in the contiguous United States, gathering and integrating robust geospatial datasets to facilitate transdisciplinary assessment and practical decision making. The platform aims to strengthen decision-support frameworks by integrating data from various domains and assessing important characteristics of geospatial tools for improved sustainability planning. Recommendations are provided to advance the co-production of NSDIs to enhance the integration of broad co-benefits in sustainable solutions.