John E. Taylor
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View article: MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment using UAV Imagery
MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment using UAV Imagery Open
Rapid and accurate post-hurricane damage assessment is vital for disaster response and recovery. Yet existing CNN-based methods struggle to capture multi-scale spatial features and to distinguish visually similar or co-occurring damage typ…
View article: FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph Open
Timely and accurate floodwater depth estimation is critical for road accessibility and emergency response. While recent computer vision methods have enabled flood detection, they suffer from both accuracy limitations and poor generalizatio…
View article: Adjusting Mechanistic Epidemiological Models to Account for Urban Infrastructure Factors
Adjusting Mechanistic Epidemiological Models to Account for Urban Infrastructure Factors Open
Accurate and timely estimation of modeling parameters in a novel disease outbreak determines the proposed effectiveness of public health interventions. Parameters such as the incidence rate, recovery rate, and basic reproduction number are…
View article: Parameter Adjustment for Mechanistic Epidemiological Models of COVID-19: Controlling for the Impact of Metro Area Crowding
Parameter Adjustment for Mechanistic Epidemiological Models of COVID-19: Controlling for the Impact of Metro Area Crowding Open
Timely understanding and accurate prediction of affected areas during novel disease outbreaks like COVID-19 is essential for the implementation of emergency response activities. Often, mechanistic models are used to evaluate the outcomes o…
View article: Exposing inequitable risk estimation of emergency service disruptions during urban floods
Exposing inequitable risk estimation of emergency service disruptions during urban floods Open
Emergency service (ES) disruption is a major impact of urban flooding. As a critical safety and health safeguard, ES disruption risk mitigation must consider the equity of risk across populations with varying social vulnerability. A key pr…
View article: Exposing inequitable risk estimation of emergency service disruptions during urban floods
Exposing inequitable risk estimation of emergency service disruptions during urban floods Open
Emergency service (ES) disruption is a major impact of urban flooding. As a critical safety and health safeguard, ES disruption risk mitigation must consider the equity of risk across populations with varying social vulnerability. A key pr…
View article: Exposing inequitable risk estimation of emergency service disruptions during floods
Exposing inequitable risk estimation of emergency service disruptions during floods Open
Emergency service (ES) disruption is a major impact of urban flooding. As a critical safety and health safeguard, ES disruption risk mitigation must consider the equity of risk across populations with varying social vulnerability. A key pr…
View article: A Digital Twin Approach to Advancing River Emergency Response Systems in Smart Cities
A Digital Twin Approach to Advancing River Emergency Response Systems in Smart Cities Open
Drowning incidents and floods in river cities have become a significant public safety concern worldwide. These incidents result in numerous deaths and injuries, highlighting the urgent need for effective monitoring and rescue systems. Trad…
View article: Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning Open
Accurate short-term streamflow and flood forecasting are critical for mitigating river flood impacts, especially given the increasing climate variability. Machine learning-based streamflow forecasting relies on large streamflow datasets de…
View article: Grand Challenges in Engineering Project Organization
Grand Challenges in Engineering Project Organization Open
Grand Challenges are ambitious yet specific goals to galvanize a scholarly community for focused research and high impact. We solicited contributions from ten leading thinkers in the field of Engineering Project Organization (EPO) to elici…
View article: Early Engagement and Vertically-Integrated Learning: Developing Whole-Person and Entrepreneurially-Minded Engineers
Early Engagement and Vertically-Integrated Learning: Developing Whole-Person and Entrepreneurially-Minded Engineers Open
Nationwide, 40-60% of engineering students leave their engineering major, with women and underrepresented minorities doing so at higher rates. In the School of Civil and Environmental Engineering (CEE) at Georgia Institute of Technology in…
View article: Online Confirmation-Augmented Probabilistic Topic Modeling in Cyber-Physical Social Infrastructure Systems
Online Confirmation-Augmented Probabilistic Topic Modeling in Cyber-Physical Social Infrastructure Systems Open
Online probabilistic topic models serve as essential analytical tools within Cyber-Physical Social Infrastructure Systems (CPSIS), enabling the analysis of real-time data streams. These models empower operators and decision-makers with act…
View article: Somatostatin receptors in GtoPdb v.2023.1
Somatostatin receptors in GtoPdb v.2023.1 Open
Somatostatin (somatotropin release inhibiting factor) is an abundant neuropeptide, which acts on five subtypes of somatostatin receptor (SST1-SST5; nomenclature as agreed by the NC-IUPHAR Subcommittee on Somatostatin Receptors [98]). Activ…
View article: Checkpoint inhibitor immune-related adverse events: A focused review on autoantibodies and B cells as biomarkers, advancements and future possibilities
Checkpoint inhibitor immune-related adverse events: A focused review on autoantibodies and B cells as biomarkers, advancements and future possibilities Open
The use of immune checkpoint inhibitors (ICIs) has evolved rapidly with unprecedented treatment benefits being obtained for cancer patients, including improved patient survival. However, over half of the patients experience immune related …
View article: Nexus between constructs of social cognitive theory model and diabetes self-management among Ghanaian diabetic patients: A mediation modelling approach
Nexus between constructs of social cognitive theory model and diabetes self-management among Ghanaian diabetic patients: A mediation modelling approach Open
The promotion of Diabetes Self-Management (DSM) practices, education, and support is vital to improving the care and wellbeing of diabetic patients. Identifying factors that affect DSM behaviours may be useful to promote healthy living amo…
View article: Mobile Application Driven Diffusion of Energy Saving Practices from Non Residential to Residential Buildings
Mobile Application Driven Diffusion of Energy Saving Practices from Non Residential to Residential Buildings Open
One of the major barriers to closing the energy efficiency gap is the failure to successfully inform the population about measures to conserve energy.This paper introduces the design of a mobile application developed to improve energy cons…
View article: Introduction to the Minitrack on Smart Building, Smart Community, and Smart City Digital Twins
Introduction to the Minitrack on Smart Building, Smart Community, and Smart City Digital Twins Open
Digital twins are intelligent adaptive systems that pair virtual and physical worlds using iterative datadriven feedback loops.This information connectivity combined with analytics and virtualization allows for the creation of a "smart" di…
View article: Recurrent Mobility: Urban Conduits for Diffusion of Energy Efficiency
Recurrent Mobility: Urban Conduits for Diffusion of Energy Efficiency Open
Recent advances in energy technologies, policies, and practices have accelerated the global rate of improvements in energy efficiency, bringing the energy targets identified in the 2030 United Nations (UN) Sustainable Development Agenda wi…
View article: Somatostatin receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database
Somatostatin receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database Open
Somatostatin (somatotropin release inhibiting factor) is an abundant neuropeptide, which acts on five subtypes of somatostatin receptor (SST1-SST5; nomenclature as agreed by the NC-IUPHAR Subcommittee on Somatostatin Receptors [89]). Activ…
View article: Editorial
Editorial Open
Editorial for Volume 7 Issue 1
View article: Designing community-scale energy feedback
Designing community-scale energy feedback Open
Energy systems are evolving from large scale, centralized networks to decentralized, community-scale energy systems, within which citizens are expected to have much more central and proactive roles. Knowing that levels of citizen involveme…
View article: Empirical Examination of Pro-environmental Behaviors in Traditional, Green Featured, and LEED Certified Buildings
Empirical Examination of Pro-environmental Behaviors in Traditional, Green Featured, and LEED Certified Buildings Open
In developed nations, 20-40% of greenhouse gas emissions and more than one-third of energy consumption are attributable to buildings. Among various available strategies, the building sector has the greatest potential for carbon emission re…