R&D investment can reduce costs through efficient production technology, which has a positive (+) impact on future performance. On the other hand, R&D investment has uncertainty due to characteristics such as time lag, high cost and non-appro...
29 November 2025
Factors like future time perspective, cultural belongings, and semiotic resources (i.e., individuals’ meanings to interpret the world), as well as worrying phenomena (climate change and armed conflicts), can harm wellbeing and increase personal...
To implement the geographical and future climate adaptation of building moisture design for building projects, practitioners need efficient tools, such as precalculated climate indices to assess climate loads. Among them, the Frost Decay Exposure Ind...
26 March 2024
The Russian–Ukrainian conflict is affecting mental health even in communities that are not directly involved in the war; added to this is the escalating conflict in the Middle East and its dangerous spread, which brings the war back to the cent...
20 June 2024
Previous research has already examined the relationship between Future Anxiety, a construct recently introduced in Italy, and mental health in young adults, although possible mediating variables in this relationship have so far never been investigate...
Climate Change is a phenomenon that has been increasingly investigated in the literature from a psychological perspective for its impact on mental health, particularly that of young adults who, already affected by the COVID-19 pandemic, are highly wo...
Future climate projections and their uncertainties affect many aspects of the world, so reliable assessments are essential for policymakers who need to prepare mitigation measures in the context of climate change. In this study, we examined the proje...
Though uncertainties of input variables may have significant implications on building simulations, they are quite often not identified, quantified, or included in building simulations results. This paper considers climatic deterministic, uncertainty,...
Using the GARCH model and quantile regression with dummy variables, we investigate the hedging and safe haven properties of carbon futures and clean energy stocks against the U.S. climate policy uncertainty (CPU). We discover that carbon futures and...
Given the food supply chain disruption from COVID-19 lockdowns around the world, we examine the predictive power of daily infectious diseases-related uncertainty (EMVID) on commodity traded futures within the agricultural bracket, sometimes known as...
Oilseed crops serve as pivotal raw materials for renewable energy production, rendering oilseed futures increasingly vulnerable to the dual shocks stemming from climate risk and the global energy transition. Against this backdrop, investigating the d...
Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent...
We propose the EGARCH-MIDAS-CPU model, which incorporates the leverage effect and climate policy uncertainty (CPU) to model and forecast European Union allowance futures’ (EUAF) volatility. An empirical analysis based on the daily data of the E...
One of the most common ways to investigate changes in future rainfall extremes is to use future rainfall data simulated by climate models with climate change scenarios. However, the projected future design rainfall intensity varies greatly depending...
Long-haul continental freight flows still heavily rely on unimodal road transport. Intermodal transport, combining road transport with other transport modes, has the potential to have lower operating costs and to be more environmentally sustainable....
Due to its significant importance in many disciplines, distributed optimization under uncertainty has become an active research field over the past decade. This paper presents a cross-paradigm review of this development. We organize the literature ar...
Among the several emerging dimensioning, control and deployment of future communication network paradigms stands out the human-centric characteristic that creates an intricate relationship between telematics and human activities. The hard to model dy...
This study presents a regional assessment of future blue water availability in Europe under different assumptions. The baseline period (1960 to 1999) is compared to the near future (2020 to 2059) and the long-term future (2060 to 2099). Blue water av...
COVID-19 has affected travel and will undoubtedly impact how people view travel and future intentions to travel as we adjust to life moving forward. Understanding how people arrive at these travel intentions will be paramount for managers and planner...
This article draws on long-term ethnographic fieldwork to examine some recent livelihood transformations that have taken place in the Turkana region of northern Kenya. In doing so, it discusses some of the ways in which uncertainty and variability ha...
Investments into wind power generation may be hampered by the uncertainty of future revenues caused by the natural variability of the wind resource, the impact of climate change on wind potential and future electricity prices, and the regulatory risk...
The global climate is changing. Predicting the impacts this will have on buildings is the first step in the process of finding suitable building adaptation measures. Future climate adaptation of buildings and infrastructure is a growing field of rese...
7 December 2022
Several countries or regions have issued bans on microplastic pollution. This paper conducted a textual analysis on the provisions of the referenced countries or regions, and it was noticed that most of the existing bans only regulate and control mic...
This paper assesses the uncertainties in the projected future runoff resulting from climate change and downscaling methods in the Biliu River basin (Liaoning province, Northeast China). One widely used hydrological model SWAT, 11 Global Climate Model...
In a rapidly evolving business landscape, the success of software development (SD) projects is increasingly impacted by uncertainty, which poses significant challenges for project managers. Despite the known influence of uncertainty on project outcom...
With evidence suggesting that climate change is resulting in changes within the hydrologic cycle, the ability to robustly model hydroclimatic response is critical. This paper assesses how extreme runoff—1:2- and 1:30-year return period (RP) eve...
A wide methodological spectrum regarding future research is offered by anticipation studies, with a special role of foresight studies. Many studies of this type focus on generating the desired future, taking into account the fact that it is accompani...
Accurate predictions of future climate change are significant to both human social production and development. Accordingly, the changes in the daily maximum (Tmax) and minimum temperatures (Tmin) in the Yarlung Tsangpo-Brahmaputra River Basin (YBRB),...
Climate change affects hydroclimatic variables, and assessing the uncertainty in future predictions is crucial. This study aims to explore variations in temperature and precipitation in the Kerman Plain under climate change impacts between 2023 and 2...
Due to global temperature increases, terraced house (TH) residents face a threat to their health due to poor indoor thermal environments. As buildings are constructed by low-income residents without professional guidance, this study aims to investiga...
The study investigates the hierarchical uncertainty of multi-ensemble hydroclimate projections for the Southern Hills-Gulf region, USA, considering emission pathways and a global climate model (GCM) as two main sources of uncertainty. Forty projectio...
The impacts of climate change on water resources in snow- and glacier-dominated basins are of great importance for water resource management. The Snowmelt Runoff Model (SRM) was developed to simulate and predict daily streamflow for high mountain bas...
One of the key roles in the development of Industry 4.0 systems is played by “emerging technologies” as new tools with promising—though with a high level of uncertainty—capabilities. The management of such systems should be based on a comprehensive—f...
Interest in future rainfall extremes is increasing, but the lack of consistency in the future rainfall extremes outputs simulated in climate models increases the difficulty of establishing climate change adaptation measures for floods. In this study,...
Bayesian operational modal analysis (OMA) provides a probabilistic framework for identifying modal parameters of structures under ambient excitation while quantifying identification uncertainty. By casting modal identification as a Bayesian inference...
7 August 2026
Young adults today are required to envision and plan for the future in a context marked by interconnected societal threats, such as climate change, geopolitical conflicts, and economic instability, giving rise to a condition of polycrisis. Understand...
Floods are the most common and widely distributed natural risk, causing over £1 billion of damage per year in the UK as a result of recent events. Climatic projections predict an increase in flood risk; it becomes urgent to assess climate change imp...
With increasing mean and extreme temperatures due to climate change, it becomes necessary to use—not only future typical conditions—but future heatwaves in building thermal simulations as well. Future typical weather files are widespread,...
Regions dependent on agricultural production are concerned about the uncertainty associated with climate change. Extreme drought and flooding events are predicted to occur with greater frequency, requiring mitigation strategies to reduce their negati...
The shortage of extreme rainfall data gives substantial uncertainty to design rainfalls and causes predictions for torrential rainfall to deviate strongly from adopted probability distributions used in river planning. These torrential rainfalls are t...
The COVID-19 pandemic has not only triggered a global health crisis but also profoundly disrupted the psychological well-being of older adults, leading to heightened levels of burnout, uncertainty, and anxiety about the future. During times of crisis...
The transition from university to the workforce is a major developmental milestone that can generate significant psychological distress, especially for students in high-stakes professional programs such as law. Traditional measures of career-related...
The development of new renewable energy technologies is generally perceived as a critical factor in the fight against climate change. However, significant difficulties arise when estimating the future performance and costs of nascent technologies suc...
Scientists occasionally predict projected changes in extreme climate using multi-model ensemble methods that combine predictions from individual simulation models. To predict future changes in precipitation extremes in the Korean peninsula, we examin...
Drought is a major climatic hazard affecting agricultural production and water resource management. This study investigates the spatiotemporal evolution of summer drought across nine major agricultural regions in China and quantifies associated uncer...
Climate and land use and land cover (LULC) changes will impact watershed-scale water resources. These systemic alterations will have interacting influences on water availability. A probabilistic risk assessment (PRA) framework for water resource impa...
Optimal water allocation within a river basin still remains a great modeling challenge for engineers due to various hydrosystem complexities, parameter uncertainties and their interactions. Conventional deterministic optimization approaches have give...
Most areas around the world lack fine rainfall records which are needed to derive Intensity-Duration-Frequency (IDF) curves, and those that are available are in the form of daily data. Thus, the disaggregation of rainfall data from coarse to fine tem...
The primary purpose of this research is to assess the long-range energy demand assumption made in relevant Roadmaps for the transformation to a low-carbon energy system. A novel interdisciplinary approach is then implemented: a new model is estimated...
Water scarcity under climate change and increasingly stringent water conservation policies may trigger energy security concerns. The current study develops an optimization model to investigate the impacts of water conservation policies and hydrologic...
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