A result of the pandemic is an urgent need for data collaborations that empower the clinical and scientific communities in responding to rapidly evolving global challenges. The ICU4Covid project joined research institutions, medical centers, and hosp...
The research described in this paper focuses on key aspects of learning from data concerning the symptoms of depression and how to prevent it. The computer support system designed for that purpose combines data privacy protection from various sources...
The integration and emerging adoption of machine learning (ML) algorithms in healthcare big data has revolutionized clinical decision-making, predictive analytics, and real-time medical diagnostics. However, the application of machine learning in hea...
Digital twins are essentially digital replicas of physical entities. Their usage is becoming more common across various industries, including healthcare. However, the implementation of digital twins in healthcare is uniquely challenging. This is part...
Federated learning enables model training on multiple clients locally, without the need to transfer their data to a central server, thus ensuring data privacy. In this paper, we investigate the impact of Non-Independent and Identically Distributed (n...
Numerous organizations employ decision-making processes to support operational activities; however, decisions and mistakes can significantly impact Market Performance (MP) due to the oversight of organizational architecture and the environment. This...
The National Environmental Policy Act of 1970 (NEPA) paved the way for comprehensive federal environmental policy in the United States. NEPA has successfully allowed citizens and others to become active participants in the environmental decision-maki...
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Background and objectives: MCDA is a decision-making tool with increasing use in the healthcare sector, including HTA (Health Technology Assessment). By applying multiple criteria, including innovation, in a comprehensive, structured and explicit man...
While international instruments and a few state governments endorse the “free, prior and informed consent” of Indigenous peoples in decision-making about the water in their traditional territories, most state water governance regimes do n...
Basketball is a sport whose regulations require quick and complex refereeing decisions. Since the inception of sports, research on sports judgment and refereeing has been consistently present in the scientific literature. However, decision-making and...
Background: Considering the global concern in balancing economic growth with environmental sustainability, the study proposes a model to support multicriteria decision-making. From the systematic literature review and bibliometric analysis, there was...
There is increasing discussion in the academic and agency literature, as well as popular media, about the need to address the existing deficit of beneficial fire on landscapes. One approach allowable under United States federal wildland fire policy t...
To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RM...
In the development of national governance systems for Reducing Emissions from Deforestation and forest Degradation (REDD+), countries struggle with ensuring that decision-making processes include a variety of actors (i.e., input legitimacy) and repre...
The European Directive on the Assessment and Management of Flood Risks is likely to cause changes to flood policy in Germany and other member states. With its risk governance approach, it introduces a holistic and catchment-oriented flood risk manage...
This paper presents a research program called CP2DIMG conducted at the Federation of Environment and Society Research at the University of Corsica. The goal of CP2DIMG is to better understand the influence of emotions on operational personnel’s...
Big data and artificial intelligence technologies are driving a paradigm shift in smart farming, yet intelligent decision-making faces critical bottlenecks. At the data level, challenges include fragmentation, high acquisition costs, and inadequate s...
Innovation is an investment in future growth and development, and it is critical for family businesses to maintain a competitive advantage. Different types of innovation inputs have different uncertainties, advantages, and risks. Product innovation a...
The rapid proliferation of devices on the Internet of Things (IoT) in smart city environments enables autonomous decision-making, but introduces challenges of scalability, coordination, and privacy. Existing reinforcement learning (RL) methods, such...
In the context of transformative energy policy frameworks, such as the German “Energiewende”, state and federal agencies, regulators, and country planners need reliable data on the energy system infrastructure to make substantiated decisi...
Indigenous peoples worldwide face barriers to participation in water governance, which includes planning and permitting of infrastructure that may affect water in their territories. In the United States, the extent to which Indigenous voices are hear...
Despite the fact that the Swiss VET system has been regulated by federal laws since 1930, the 26 cantons that make up the Swiss Confederation enjoy a certain room for maneuver when implementing federal provisions at the regional level. This is reflec...
Professional tennis players have their own habits of tactics and play. However, players’ shortcomings can be corrected by constantly practicing professional techniques and by tactical analysis. Therefore, this study aimed to develop a two-stage...
In emergency situations, rapid action is critical to save lives, yet humanitarian logistics often grapple with challenges like information dispersion, tight deadlines, and strict privacy regulations. This research introduces FL-DT-HSC, a novel approa...
Disaster losses and expenses are increasing rapidly in coastal regions, highlighting the pressing need for effective mitigation strategies. The voluntary buyout program is an effective approach to reducing risks of future flooding, often funded by fe...
CALSTART recently completed a Best Practices in Hydrogen Fueling and Maintenance Facilities for Transit Agencies publication for the Federal Transit Administration. The objective of the project was to create a high-level resource that advances the ad...
This research investigates whether, why, and how open government data (OGD) is used and reused by Brazilian state and district public administrations. A new online questionnaire was developed and collected data from 26 of the 27 federation units betw...
Multi-source autonomous navigation-dependable decision making has a crucial impact on the overall performance of navigation systems. To solve the problem of overall system robustness caused by the intelligent-dependable decision making difficulties o...
More than two decades after the Rio-conference on environment and development in 1992, sustainable development remains a big challenge. Politics and administration, especially in democratic societies, have a specific responsibility in coordinating su...
Human–machine interaction covers a range of applications in which machines should understand humans’ commands and predict their behavior. Humans commonly change their mood over time, which affects the way we interact, particularly by chan...
Metropolitan Planning Organizations (MPOs) are required to prepare a Transportation Improvement Plan (TIP) that outlines a fiscal strategy over a four-year period in order to qualify for federal funding. However, the growing population and limited fi...
This paper presents a comprehensive framework for implementing digital twins in aircraft lifecycle management, with a focus on using data-driven models to enhance decision-making and operational efficiency. The proposed framework integrates cutting-e...
The rapid proliferation of wearable sensors and advanced tracking technologies has revolutionized data collection in elite sports, enabling continuous monitoring of athletes’ physiological and biomechanical states. This study proposes a compreh...
The field of environmental management, specifically flood risk management (FRM), emphasizes participatory decision-making to address diverse issues and conflicting interests among stakeholders. This approach recognizes the complexity of decisions and...
Connected and autonomous vehicles, along with the expanding Internet of Vehicles (IoV), are increasingly exposed to complex and evolving cyberattacks. Consequently, Intrusion Detection Systems (IDS) have become a vital component of modern vehicular c...
Polycentric governance enables decentralized yet coherent multilevel decision-making by fostering alignment across governance, policy, and strategic goals. In the United States (U.S.), a prominent global climate actor, this polycentric structure is b...
One of the stated purposes of this Special Issue is to “discuss when and why intelligence has disappeared” in education. In this paper, I argue that intelligence is still heavily involved in public education in the United States due to th...
The rising prevalence of CSHCN has led to significant challenges for caregivers, particularly mothers, who face difficulties from caregiving demands and managing complex healthcare interactions. The objective of this study was to examine the associat...
One of the key challenges for (fresh produce) retailers is achieving optimal demand forecasting, as it plays a crucial role in operational decision-making and dampens the Bullwhip Effect. Improved forecasts holds the potential to achieve a balance be...
The Canadian Partnership Against Cancer was created in 2007 by the federal government to accelerate cancer control across Canada. Its OncoSim microsimulation model platform, which consists of a suite of specific cancer models, was conceived as a tool...
Background/Objectives: Cardiovascular disease (CVD) remains a leading cause of mortality and disability worldwide, with timely diagnosis critical for preventing long-term functional impairment. Electrocardiograms (ECGs) provide essential biomarkers o...
What factors determine federal spending on environmental goods? Is severity of the hazard the only metric of consideration, or do other factors play a vital role in explaining spending? This paper seeks to answer this question and to identify disburs...
This paper examines the humanitarian, social, and economic disruptions resulting from the 2023–2024 closure of the Lukeville, Arizona, Port of Entry (PoE). Drawing on collaborative ethnographic fieldwork, including semi-structured and informal...
The advent of 6G technology will transforms aviation, particularly in the realm of aircraft health monitoring systems (AHMSs). This paper explores the transformative potential of 6G in enhancing real-time data exchange, predictive maintenance, and ov...
Forestry work, which is considered one of the most demanding and dangerous professions in the world, is claiming more and more lives. In a country as small as Austria, more than 50 forestry workers are killed in accidents every year, and the number i...
We aimed to evaluate the accuracy of deterministic and stochastic statistical models by means of a protocol developed in a free programming environment for monthly time-series analysis of the incidence of confirmed dengue cases in the states and fede...
A high proportion of refugees coming into the U.S. are under the age of 18, and many continue to struggle to attain basic educational qualifications which may lead to viable economic opportunity. Recently, the Office of Refugee Resettlement (ORR) beg...
The purpose of this article is to study the theoretical foundations of the concept of fiscal decentralization, as the main path of self-development of the national economy of any country, and to develop mathematical tools that support decision-making...
Artificial-intelligence-based robotics has recently garnered considerable attention, with the prediction of sample attributes becoming essential for artificial-intelligence-based environmental data analysis and decision-making processes in smart equi...
U. S. Supreme Court justices and other federal judges are, effectively, appointed for life, with no built-in check on their cognitive functioning as they approach old age. There is about a century of research on aging and intelligence that shows the...
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