Article
Development Studies
Ashenafi Duguma Feyisa, Miet Maertens, Yann de Mey
Summary: This paper explores the diversity in risk perception and risk preferences of Ethiopian households by combining incentivized field experiments with detailed primary household survey data. The study finds that the respondents are exposed to multiple past and future agricultural risks, and exhibit characteristics of relative risk aversion, loss aversion, and overweighting of unlikely extreme outcomes. The findings highlight the significant association between risk preferences and risk perception, providing valuable insights for better informed and targeted risk management policy interventions.
Article
Astronomy & Astrophysics
Lingxiao Wang, Shuzhe Shi, Kai Zhou
Summary: This paper proposes an automatic differentiation framework for spectral reconstruction from propagator observable using neural networks. The performance of spectral reconstruction is evaluated through relative entropy and mean square error. The AD framework achieves better performance compared to the maximum entropy method in the presence of large noise.
Article
Multidisciplinary Sciences
Crystal Reeck, O'dhaniel A. Mullette-Gillman, R. Edward McLaurin, Scott A. Huettel
Summary: This research assessed the relative contribution of domain-general and domain-specific risk attitudes to financial risk taking. The results showed that domain-general risk attitude had a better predictive power for observed financial decision-making behavior than domain-specific financial risk attitudes.
Article
Economics
Jessica Alam, Konstantinos Georgalos, Harrison Rolls
Summary: This paper discusses the impact of gender differences on decision making and highlights the problem of failing to accurately identify differences when ignoring individual behavioral heterogeneity. By comparing different inference methods, the paper suggests the use of Bayesian modeling to effectively estimate the underlying parameters.
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Muhammed Sutcu
Summary: In this paper, an alternative formulation of utility entropy called disutility entropy is presented to overcome the inability to apply utility entropy in cases with multiple attributes. By using multiattribute utility functions, the entropy measurement is simplified and the usefulness and feasibility of the method in the field of multiattribute utility theory are improved.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Economics
Vegard Sjurseike Wiborg
Summary: This article presents evidence on how preferences over monetary risk of individuals in the family are influenced by sibling sex composition. The study finds that women with a younger brother are less risk averse compared to those with a younger sister. On the other hand, the sex of the second-born has a smaller and statistically insignificant effect on men's risk attitudes. These findings provide new causal evidence on the shaping of risk preferences by social environmental factors.
APPLIED ECONOMICS LETTERS
(2023)
Article
Economics
Vegard Sjurseike Wiborg
Summary: This study provides new causal evidence on how risk preferences are shaped by social environmental factors by focusing on sibling sex composition. Women with a younger brother are found to be less risk averse compared to women with younger sisters. The effect decreases with increasing age difference. The effect of the second-born's sex has a similar but smaller impact on men's preferences, although it is not statistically significant.
APPLIED ECONOMICS LETTERS
(2023)
Article
Economics
Arthur E. Attema, Olivier L'Haridon, Gijs van de Kuilen
Summary: This study presents the results of an artefactual field experiment aimed at measuring the prevalence of aversion to different components of social risks. The study identifies social risk preferences related to health and wealth and breaks them down into four dimensions: individual risk, collective risk, ex-post inequality, and ex-ante inequality. Non-parametric analysis shows that individuals have a general aversion to risk and inequality in the domains of gains and losses. Parametric decomposition further reveals that respondents are averse to ex-post and ex-ante inequality in health and wealth for both gains and losses. They are also averse to collective risk but neutral towards individual risk, emphasizing the importance of considering different components of social risk preferences in managing social health and wealth risks.
JOURNAL OF HEALTH ECONOMICS
(2023)
Article
Materials Science, Multidisciplinary
Zhen Huang, Emanuel Gull, Lin Lin
Summary: Green's functions of fermions are described by matrix-valued Herglotz-Nevanlinna functions, which provide a causal space for improving accuracy and robustness against noise in analytic continuation. The PES method, consisting of data projection, pole location estimation, and semidefinite relaxation, demonstrates superior performance compared to Nevanlinna and Caratheodory continuation methods. Additionally, a causal projection improves the performance of the existing methods. The PES method is generalized to bosonic response functions, filling a gap in current continuation methods and proving useful for studying spectra with sharp features.
Article
Operations Research & Management Science
Vu Thi Huong, Jen-Chih Yao, Nguyen Dong Yen
Summary: We investigate a type of finite horizon optimal economic growth problems with nonlinear utility functions and linear production functions. Through the application of the maximum principle in optimal control theory and leveraging the special structure of the problems, we are able to explicitly describe the unique solution along with the input parameters. Economic interpretations of the results obtained and an open issue concerning the scenario where the total factor productivity falls within a bounded open interval specified by the growth rate of labor force, the real interest rate, and the exponent of the utility function are also discussed.
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
(2021)
Article
Economics
Han Bleichrodt, Paul van Bruggen
Summary: Higher-order risk preferences play a significant role in economic behavior and may exhibit a reflection effect. The findings suggest that higher-order risk preferences differ for gains and losses, contradicting the previous notion of a universal preference for combining good with bad or good with good.
REVIEW OF ECONOMICS AND STATISTICS
(2022)
Article
Business, Finance
Robert Jarrow, Siguang Li
Summary: This paper explores the relationship between concavity, stochastic or state-dependent utility functions, and risk aversion, finding that concavity does not necessarily imply risk aversion, but rather a weaker form of it. By introducing new concepts like uniform risk aversion and uniform risk aversion for independent gambles, the economic meaning of concavity is further understood and characterized.
FINANCE AND STOCHASTICS
(2021)
Article
Business, Finance
Konstantinos Kassimatis
Summary: Our research found that M-V portfolios are not a good proxy for CRRA portfolios, as they differ significantly in terms of downside risk. CRRA portfolios are more suitable for investors concerned about downside risk.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2021)
Article
Economics
Salvatore Di Falco, Ferdinand M. Vieider
Summary: This study investigates the risk preferences of subsistence farmers in Ethiopia and their adaptation to rainfall shocks. The findings show that rainfall shocks decrease risk tolerance over time for the same individuals. Additionally, historical rainfall characteristics and geographical features explain 40% of the variation in preferences across individuals. The time-changing effects are in line with the geographical effects, providing real-world evidence that preferences may systematically adapt to the environment of the decision maker.
Article
Physics, Multidisciplinary
Zhiyue Lu, Hong Qian
Summary: This theory extends thermodynamics to arbitrary systems with a priori probability and establishes a duality symmetry, providing the foundation for classical and nanothermodynamics and offering a framework for extracting emergence from large data.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Antonio Casa Nova, Paulo Ferreira, Dora Almeida, Andreia Dionisio, Derick Quintino
Summary: The research findings indicate a dynamic correlation between different mobility indices and new COVID-19 cases in various districts of Portugal. Mobility in retail and recreation, grocery and pharmacy, and public transport shows a higher correlation with new cases, compared to parks, workplaces, or residences. The relationship is weaker in districts with lower population density, highlighting the need for differentiated confinement policies to minimize the economic and social impacts.
Article
Business
Maria Raquel Lucas, Simone Maia Pimenta Martins Ayres, Nuno Rebelo dos Santos, Andreia Dionisio
Summary: This study investigates consumer experiences and values in shopping centers of inland towns in the Brazilian Northeast region, finding that consumers tend to have a mix of pleasant and unpleasant experiences, with excessive crowds being a common source of discomfort. Functionality and sensibility are identified as the most important values, with functionality being prioritized by consumers regardless of their purpose in visiting the shopping center.
INNOVATIVE MARKETING
(2021)
Article
Thermodynamics
Paulo Ferreira, Dora Almeida, Andreia Dionisio, Elie Bouri, Derick Quintino
Summary: In recent years, the energy markets have undergone significant transformations, affecting the relationships among energy commodities and their interactions with clean energy indices. The study identifies diesel as the most influenced energy commodity, while highlighting the importance of WTI oil and clean energy indices.
Review
Green & Sustainable Science & Technology
Isabel Reis, Maria Jose Sousa, Andreia Dionisio
Summary: This paper presents a systematic literature revision on the relationship between employer branding and talent management, showing a growing scientific literature on the subject and highlighting employer branding as a tool in talent management at the organizational level.
Review
Gerontology
Maria Manuela Jacob Cebola, Nuno Rebelo dos Santos, Andreia Dionisio
Summary: With the demographic and workforce ageing, ageism has become increasingly prevalent in the work context. This literature review provides a comprehensive overview of empirical research on worker-related ageism, highlighting the main findings and research gaps.
Article
Business, Finance
Ameet Kumar Banerjee, Andreia Dionisio, H. K. Pradhan, Biplab Mahapatra
Summary: This paper proposes a new approach to understand bond volatility dynamics through textual news sentiments. The study shows a high correlation between news sentiment and volatility measures, with information flowing unidirectionally from news to volatility. Nonlinear techniques from information theory are used to describe the behavior of Indian debt markets and understand the volatility dynamics of benchmark bonds.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2021)
Article
Physics, Multidisciplinary
Dora Almeida, Andreia Dionisio, Isabel Vieira, Paulo Ferreira
Summary: Cryptocurrencies, as innovative financial assets, attract the attention of investors and academics due to their unique features. This study evaluates integration and contagion in the cryptocurrency market during the COVID-19 pandemic using mutual information and transfer entropy analysis. The findings demonstrate mixed levels of integration for cryptocurrencies before and after the pandemic, with a decline in integration for those initially highly integrated. There is evidence of contagion from the pandemic only for the Huobi Token, as indicated by mutual information and transfer entropy analysis. This suggests that cryptocurrencies may be a good investment option during real global shocks like the COVID-19 outbreak.
Article
Medicine, Research & Experimental
Antonio Heitor Reis
Summary: Based on abundant published literature, this study expands the understanding of cardiovascular diseases and explains unique features of vascular lesions and the role of apolipoprotein apoB100. The study hypothesizes that K-ATP channels and their control by blood pH are involved in coronary artery spasm and cardiomyocyte death. Furthermore, the main cardiovascular risks are explained within the proposed framework.
DISCOVERY MEDICINE
(2022)
Article
Social Sciences, Interdisciplinary
Antonio Luis Dionisio, Andreia Dionisio, Maria Jose Sousa, Ana Moreira
Summary: Task complexity is an important factor studied by academics and a central concern for leaders. The research findings indicate that task complexity is positively associated with engagement, shared leadership, flexibility, and delegation. Shared leadership has a positive impact on flexibility and delegation. However, the serial mediating effect of engagement and shared leadership on the relationship between task complexity and delegation was not confirmed.
SOCIAL SCIENCES-BASEL
(2022)
Article
Business, Finance
Dora Almeida, Andreia Dionisio, Isabel Vieira, Paulo Ferreira
Summary: This study assessed the uncertainty and risk of cryptocurrency investments and found that, except for Tether, the analyzed cryptocurrencies exhibited similar patterns of uncertainty and risk. The study also found that during the COVID-19 pandemic, uncertainty increased while risk decreased, suggesting that these cryptocurrencies may have safe haven properties.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT
(2022)
Article
Business, Finance
Dora Almeida, Andreia Dionisio, Muhammad Enamul Haque, Paulo Ferreira
Summary: China's economic growth has been largely driven by the development of its real estate market, particularly after the 2008 crisis. The bond default of Evergrande raised concerns in financial markets, but the markets reacted strongly and quickly returned to normal behavior.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT
(2022)
Article
Environmental Sciences
Antonio Heitor Reis
Summary: The author analyzed the evolution of global temperature and Bond albedo anomalies from 2001 to 2013, presenting an equation based on radiative balance at the top of the atmosphere to estimate the relationship between temperature and albedo anomalies. The estimated values were then compared with observed values.
INTERNATIONAL JOURNAL OF GLOBAL WARMING
(2021)
Article
Geography
Conceicao Rego, Isabel Joaquina Ramos, Maria Raquel Lucas, Maria da Saudade Baltazar, Andreia Dionisio
Summary: This study examines the strongly asymmetrical distribution of population, quality of life, and economic development in Portugal, identifying homogeneous areas through an analysis of competitiveness, cohesion, and environmental quality dimensions. Findings reveal differences in development across the country, with groups of regions identified beyond the standard north-south or coastal-inland distinctions. Metropolitan areas and export-oriented regions stand out from the rest of the country, with economic indicators such as GDP per capita, population density, resident foreign population, and youth index showing greater diversity.
REGIONAL STUDIES REGIONAL SCIENCE
(2021)
Proceedings Paper
Computer Science, Information Systems
Helena Pires Barrenho, Jose Bileu Ventura, Andreia Dionisio
Summary: This research work focuses on the reengineering of processes, dematerialization, and integration of procedures in licensing building works, with an empirical application in three Portuguese municipalities. The study, based on qualitative analysis methods and interviews with officials and technicians, evaluates qualitative parameters to identify facilitating elements and difficulties in the process, offering insights for future directions in administrative urbanization and edification processes. It contributes to scientific knowledge by filling a gap in literature on process reengineering in European municipalities and reinforces the literature in Portugal on process reengineering and dematerialization of procedures for building works. This study highlights the importance of a strategic vision and organizational changes in process reengineering projects.
14TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV 2021)
(2021)
Article
Business
Cristina Galamba Marreiros, Andreia Dionisio, Maria Raquel Lucas
Summary: The paper aims to evaluate the possibility of finding international consumer segments in the organic food product market and has found the significance of country of residence in distinguishing between urban organic food product consumers. The different levels of organic food product consumption are mainly explained by consumers' declared knowledge level. Increasing awareness and knowledge on these products is important to increase consumption and work with international segments.
INTERNATIONAL JOURNAL OF CONSUMER STUDIES
(2021)
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
