Individual Utility Research Articles

Callous-unemotional traits and pre-ejection period in response to reward.

Callous-unemotional (CU) traits have important utility in distinguishing individuals exhibiting more severe and persistent antisocial behavior, and our understanding of reward processing and CU traits contributes to behavioral modification. However, research on CU traits often investigated reward alongside punishment and examined solely on average reward reactivity, neglecting the reward response pattern over time such as habituation. This study assessed individuals' pre-ejection period (PEP), a sympathetic nervous system cardiac-linked biomarker with specificity to reward, during a simple reward task to investigate the association between CU traits and both average reward reactivity and reward response pattern over time (captured as responding trajectory). A heterogeneous sample of 126 adult males was recruited from a major metropolitan area in the US. Participants reported their CU traits using the Inventory of Callous-Unemotional Traits and completed a simple reward task while impedance cardiography and electrocardiogram were recorded to derive PEP. The results revealed no significant association between average PEP reward reactivity and CU traits. However, CU traits predicted both linear and quadratic slopes of the PEP reactivity trajectory: individuals with higher CU traits had slower habituation initially, followed by a rapid habituation in later blocks. Findings highlight the importance of modeling the trajectory of PEP reward response when studying CU traits. We discussed the implications of individuals with high CU traits having the responding pattern of slower initial habituation followed by rapid habituation to reward and the possible mechanisms.

Mutual aid insurance with a three-state Markov chain

ABSTRACT Mutual aid insurance is a collective type of insurance where the policyholders share the potential losses or risks that they may face. In this paper, we establish a mathematical structure for mutual aid insurance through a three-state (good, bad and death) process, which is driven by an inhomogeneous Markov chain. The objective of maximizing an individual's lifetime utility is achieved by addressing a stochastic control problem that involves both mutual aid insurance and life insurance. We obtain the explicit expressions for optimal consumption, investment strategies, and life insurance premiums by employing the corresponding Hamilton-Jacobi-Bellman equation. In the end, we carry out a numerical analysis to show the significance of mutual aid insurance and demonstrate the optimal mutual aid insurance premium.

Cervical Cancer Screening Among Female Medicaid Beneficiaries With and Without Schizophrenia.

In the United States, women with schizophrenia face challenges in receiving gynecologic care, but little is known about how cervical cancer screening rates vary across time or states in a publicly insured population. We hypothesized that women Medicaid beneficiaries with schizophrenia would be less likely to receive cervical cancer screening across the United States compared with a control population, and that women with schizophrenia and other markers of vulnerability would be least likely to receive screening. This retrospective cohort study used US Medicaid administrative data from across 44 states between 2002 and 2012 and examined differences in cervical cancer screening test rates among 283950 female Medicaid beneficiaries with schizophrenia and a frequency-matched control group without serious mental illness, matched on age and race/ethnicity. Among women with schizophrenia, multivariable logistic regression estimated the odds of receiving cervical cancer screening using individual sociodemographics, comorbid conditions, and health care service utilization. Compared to the control group, women with schizophrenia were less likely to receive cervical cancer screening (OR = 0.76; 95% CI 0.75-0.77). Among women with schizophrenia, nonwhite populations, younger women, urban dwellers, those with substance use disorders, anxiety, and depression and those connected to primary care were more likely to complete screening. Cervical cancer screening rates among US women Medicaid beneficiaries with schizophrenia were suboptimal. To address cervical cancer care disparities for this population, interventions are needed to prioritize women with schizophrenia who are less engaged with the health care system or who reside in rural areas.

Discharging driven energy sharing protocol for V2V communication in vehicular energy networks

With the growing concern over range anxiety among electric vehicle (EV) owners due to limited battery capacity and sparse charging infrastructure, EV-to-EV (V2V) energy sharing emerges as a crucial solution to extend driving range. Leveraging the vehicular energy network (VEN) enabled by dynamic wireless power transfer (DWPT) technology, energy sharing among EVs in motion becomes feasible. However, the effective establishment of communication and identification of suitable V2V energy sharing pairs pose significant challenges, particularly for EVs with discharging demands. To address this challenge, we propose a new discharging driven energy sharing protocol based on vehicular ad-hoc networks (VANETs). Firstly, we present a routing approach for transmitting discharging information through VANETs, considering key factors such as distance, state of charge, number of neighbor vehicles, and vehicle speed. This routing scheme facilitates efficient relay node selection on road segments and intersections, ensuring optimal communication paths. Subsequently, we formulate a charging requester selection model to identify the most suitable requester for energy sharing. This model optimizes individual utility while accounting for the state of charge of the requesters, ensuring a comprehensive and inclusive approach to V2V energy sharing. Finally, we develop an acknowledgment message transmission scheme to ensure the completion of selection acknowledgment between discharging EVs and charging EVs. This scheme includes provisions for recovery in case of forwarding link failures, ensuring robust communication in dynamic vehicular environments. Extensive simulations conducted using network simulator 2 (NS-2) demonstrate the superior performance of the proposed protocol in terms of packet delivery ratio, end-to-end delay, and overall V2V energy sharing efficiency.

Credit cards, credit utilization, and consumption

We use credit bureau data to show that credit card limits grow rapidly early in life and are an important early-life liquidity source. Yet individual credit utilization is stable over the short and long term. To explain these new findings, we propose a life-cycle consumption model with heterogeneous preferences, the option to revolve, and credit cards used for payments. Using diary data to identify payment use and the revealed preference that some people with credit cards borrow at high interest, while others do not to help identify heterogeneous preferences, the estimated model matches consumption and credit use at every frequency. The model suggests that around half the population has an endogenously high marginal propensity to consume. This targetable population explains the large consumption response to unexpected cash.

Welfare-Maximizing Pooled Testing

This letter provides an overview of our recent work on COVID-19 testing mechanisms that appeared at EC'23. Large-scale testing is crucial in pandemics but resources are often prohibitively constrained. We study a scenario in which a population under lockdown utilizes a limited budget of tests to allow healthy individuals to resume in-person activities. Our work explores the optimal allocation of pooled tests in populations that are heterogeneous with respect to individual infection probabilities and utilities that materialize if included in a negative test (and being permitted to resume in-person activities). Non-overlapping allocations of tests, where no individual in the population is included in more than one pooled test, are both conceptually and logistically simpler to implement. We show that the welfare gain from overlapping testing over non-overlapping testing is bounded. Moreover, we design a heuristic mechanism for finding test allocations that is fast and empirically near-optimal. We also implement our mechanism in practice and provide experimental evidence on the benefits of utility-weighted pooled testing in a real-world setting. Our randomized trial at a higher education research institute in Mexico suggests that performance and mental health outcomes of participants under our testing mechanism are no worse than under the counterfactual of full access for individuals without testing.

A Critical Comparison of SEUT and Prospect Theory

This article explores two key theories in behavioral finance: Subjective Expected Utility Theory (SEUT) and Prospect Theory, outlining their development as responses to historic economic paradoxes, challenging traditional notions of rationality in economic decision-making. SEUT extends the concepts of expected value and rational choice, incorporating individual utility functions and subjective probabilities. Despite its comprehensive approach, SEUT struggles to explain certain behaviors under risk and uncertainty. Prospect Theory, conceived by Kahneman and Tversky, offers an alternative. It introduces decision weighting, focusing on how individuals differently perceive gains and losses relative to a reference point. This theory explains human biases like loss aversion and framing effects, which SEUT overlooks. Through practical examples and empirical studies, the article demonstrates scenarios where human behavior deviates from SEUT predictions, influenced by psychological factors. However, both theories provide insights into economic decision-making, they have their respective strengths and limitations. The article suggests a more integrated approach, recognizing the complexities of human decision-making in economic contexts.

Comprehensive Virtual Treatment for Severe Anxiety in Youth: A Case Report

Anxiety disorders and obsessive-compulsive disorder (OCD) are among the most common mental health conditions in children and adolescents and are associated with various impairments and long-term consequences. Evidence-based treatments exist but are often lacking in elements needed to effectively treat youth with more severe presentations. This case report illustrates a patient’s treatment course in an innovative program for children, adolescents, and young adults with severe anxiety. The program offers a continuum of outpatient, evidence-based care tailored to the severity of the patient’s condition. The case study focuses on “Jane,” an adolescent female with anxiety as well as obsessive-compulsive spectrum disorders, who had previously received extensive treatment without sustained improvement. Through the program’s three treatment phases, Jane and her parents demonstrated consistent engagement and adherence to treatment. Jane showed significant progress, with rapid reduction in symptoms and functional impairment. This case report underscores key elements of this treatment that address gaps in traditional approaches to care, particularly for patients with severe presentations, including the coordinated, team-based approach; the continuum of evidence-based, phased treatment titrated to need; the utilization of virtual individual, group and parent-focused care and between-session coaching to enhance learning generalization; and the use of measurement-based care. Further research is warranted to evaluate the generalizability and long-term outcomes of this program and its potential to transform the treatment landscape for pediatric anxiety and OCD.

Evolutionary Digital Twin-Oriented Complex Networked Systems driven by node features and the mutation of feature preferences.

Accurate modelling of complex social systems, where people interact with each other and those interactions change over time, has been a research challenge for many years. This study proposes an evolutionary Digital Twin-Oriented Complex Networked System (DT-CNS) framework that considers heterogeneous node features and changeable connection preferences. We create heterogeneous preference mutation mechanisms to characterise nodes' adaptive decisions on preference mutation in response to interaction patterns and epidemic risks. In this space, we use nodes' interaction utilities to characterise the positive feedback from interactions and negative impact of epidemic risks. We also introduce social capital constraint to harness the density of social connections better. The nodes' heterogeneous preference mutation styles include the (i)inactive style that keeps initial social preferences, (ii) ignorant style that randomly mutates preferences, (iii) egocentric style that optimises individual interaction utility, (iv) cooperative style that optimises the total interaction utilities by group decisions and (v) collaborative style that further allows the cooperative nodes to transfer social capital. Our simulation experiments on evolutionary DT-CNSs reveal that heterogeneous preference mutation styles lead to various interaction and infection patterns. The results also show that (i) increasing social capital enables higher interactions but higher infection risks and uncertainty in decision-making; (ii) group decisions outperform individual decisions by eliminating the unawareness of the decisions of other nodes; (iii) the collaborative nodes under a strict social capital limit can promote interactions, reduce infection risks and achieve higher overall interaction utilities.

Transboundary COVID-19 response on health communication in Botswana, South Africa and Zimbabwe

A global COVID-19 pandemic caused untold community disruptions, a huge toll on lives and placed major burdens on the economies of developing countries. It spread worldwide within a short period of time before nations could mobilise evidence for the best responses. Communities in Botswana, South Africa and Zimbabwe were heavily disrupted. This article focuses on exploring the transboundary differences in COVID-19 responses, plus the implications for improving the health communication strategies in a pandemic age. Health practitioners and governments were ill-prepared to inform the general public about the pandemic and enforced complete shutdowns of economic and social activities. With the COVID-19 pandemic ravaging communities, there was a dearth of focused health communication on COVID-19’s end. New tools of communication and dissemination of information were embraced in the southern Africa country-specific cases. For example, content on precautionary lifestyles, individual or personal responsibility and utilisation of community health workers in the pandemic era was prioritised to prevent or minimise infections and avoid recurrence of the disease. New communication methods were important for addressing uncertainty and can be applied for any future pandemic. This health communication topic addresses the neglected, but important gap on the efficacy of processes towards better health communication strategies. The transdisciplinary methods include improved health communication strategies informed by the experiences of three Southern African Development Community countries. While such measures to arrest COVID-19 proved plausible, these countries’ projections for the future are a concern, suggesting an urgent need to enhance and strengthen health communication in southern Africa.Transdisciplinary contribution: This is a transdisciplinary exploration of health communication and its implications for COVID-19 and future pandemic responses in Botswana, South Africa and Zimbabwe.

An Adaptive Dual-Mode Task-Oriented Resource Management Strategy for GEO Relay Systems

With the fierce global competition on satellite networks, the building of satellite constellations grows explosively. Sharply increasing on-orbit data will face the challenge of satellite-ground data transmission. GEO satellites become the top choice for satellite data relay due to their stable satellite-ground link. Most existing spectrum resource management for GEO relays is equipment-oriented and benefit priority, which may lead to a waste of spectrum resources. In this paper, we propose a real-time task-oriented resource allocation strategy for GEO relay systems. We model the spectrum allocation problem as a distributed non-cooperative Stackelberg game process. We prove that when both sides of the game pursue the maximization of personal revenue, the system will enter a Nash equilibrium state, whereas spectrum resources are not fully used. Based on the maximization of individual utilities (U-prior) and spectrum utilization (S-prior) methods, we design an adaptive dual-mode pricing mode to maximize the spectrum resources within a certain loss of revenue. The simulation results show that the S-prior and U-prior have better performance than the baseline method and existing optimization methods. Our proposed dual-mode strategy is making more throughputs and has less delay with little loss of utility values than that of individual utility maximization.

Use of social network analysis in health research: a scoping review protocol

IntroductionSocial networks can affect health beliefs, behaviours and outcomes through various mechanisms, including social support, social influence and information diffusion. Social network analysis (SNA), an approach which emerged from the...

Mass evacuation planning for disasters management: A household evacuation route choice behavior analysis

This paper presents a multi-methodological approach to analyzing household evacuation route choice behaviors and the related decision-making for mass evacuation planning in disaster management. Specifically, the proposed multi-methodological approach integrates a syncretic risk perception conceptual model with a household-based group utility evolution model. The dynamics of household evacuation route choice are explored in two stages, namely the individual utility initiation and accommodation. The unique feature of the proposed approach is that it links individual risk perception, survival psychology, and group behavioral dynamics together to characterize household decision-making about choosing the evacuation routes. An empirical study coupled with experiments is conducted to help validate the proposed household evacuation route choice behavior model. Through various designed disaster scenarios, the applicability and strengths of the proposed model for mass evacuation planning and management are demonstrated. Particularly, the mean relative prediction errors of the proposed model with respect to household-based evacuation route switching probability and path flow splits are 3.79% and 6.88%, respectively, all within an acceptable range of ±10 %. This demonstrates that the proposed model and analytical results align closely with household choice behavior.

Old-age support policy and fertility with strategic bequest motives

This paper presents an analysis of the effects of public old-age support on individuals’ fertility decisions and on the long-term equilibrium in an overlapping generation economy with strategic bequest motives. Parents must pay their adult children at least the reservation wage to receive informal old-age support from them (individual rationality constraint). Formal old-age support is financed through wage taxes on children. The increased present value of formal old-age support tends to increase old-age utility, thereby decreasing the family support demand and decreasing savings for the old age. The increased wage tax reduces the opportunity cost of child-rearing time, thereby increasing the fertility rate. The effects of increased formal old-age support on per-worker capital and labor are indeterminate, as is the effect on the long-term lifetime utility of individuals. A strategic bequest motive might engender a higher fertility rate than that of the social optimum.

Acute care utilization among individuals with sickle cell disease and related cardiopulmonary and renal complications.

Cardiopulmonary and renal end organ (CPR) complications are associated with early mortality among individuals with sickle cell disease (SCD). However, there is limited knowledge regarding acute care utilization for individuals with SCD and CPR complications. Our objective was to determine the prevalence of CPR complications in a state specific SCD population and compare acute care utilization among individuals with and without CPR complications. We leveraged 2017-2020 data for individuals with SCD identified by the Sickle Cell Data Collection program in Wisconsin. The prevalence of CPR complications is determined for distinct age groups. Generalized linear models adjusted for age compared the rate of acute care visits/person/year among individuals who had cardiopulmonary only, renal only, both cardiopulmonary and renal, or no CPR complications. There were 1378 individuals with SCD, 52% females, mean (SD) age 28.3 (18.5) years; 48% had at least one CPR complication during the study period. The prevalence of CPR complications was higher in adults (69%) compared to pediatric (15%) and transition (51%) groups. Individuals with SCD and cardiopulmonary complications had higher acute visit rates than those without CPR complications (5.4 (IQR 5.0-5.8) vs 2.4 (IQR 2.1-2.5), p <0.001)). Acute care visit rates were similar between individuals with SCD who had renal only complications and no CPR complications (2.7 (IQR 2.5-3.0) vs 2.4 (2.1-2.5), p = 0.24). The high acute care visit rates, especially for those with cardiopulmonary complications, warrant further investigation to understand risk factors for CPR complications, the underlying reasons and identify effective disease management strategies.

A doctorate doesn’t make you a “Doc”: the educational and sociocultural embodiment of culturally relevant pedagogies

PurposeThis study aims to stimulate scholarly attention and practical application pertaining to individuals recognized as “Docs.” Through conducting a comprehensive analysis and acquiring a profound understanding of its many connotations, the objective is to shift attitudes and approaches concerning those who are seen to possess knowledge and value within society.Design/methodology/approachFor this study, culturally relevant pedagogies were used as theoretical frameworks in addition to Sankofa and concept explication being used as methodologies.FindingsThe authors identified three themes: (1) honorary cultural practice-community nomination of “professahs” and “docs,” (2) (Black) robinhoods – cultural signifiers of distinction and relatability and (3) docs as catalysts – elevating community via consciousness, trust and mentorship as significant understandings of this distinction.Originality/valueThe study emphasizes the importance of “Docs” in both academic and social contexts. The role of “Docs” serves to alleviate potential conflicts of being a Black intellectual. This study further reveals the ways in which Docs align with, promote or possibly undermine established frameworks of thought. Finally, this study provides institutions with opportunities to consider strategies for the utilization, recognition and integration of individuals who are frequently overlooked or undervalued.

How does air pollution damage residents’ well-being? The evidence from China

ABSTRACT Air pollution is a prevalent environmental problem facing the world, critically threatening the well-being of human beings. Using the China Genuine Progress indicator Survey dataset, we investigate the impact of air pollution on residents’ well-being in China, and discuss the influencing mechanisms based on the theory of hierarchy of needs. As distinct winter heating policies cause different concentrations of air pollutants across the Qinling-Huaihe line in China, we construct a regression discontinuity design to identify the causal relationship. The results show that air pollution significantly damages residents’ well-being. If annual average air quality index increases by 50 units, residents’ happiness will fall by about 1.774 units. The mechanism analysis shows that air pollution reduces individual utility through increasing residents’ daily expenditure to meet their low-level needs while reducing consumptions for higher-level needs, namely the so-called ‘consumption downgrade’. Heterogeneity analysis shows that residents with higher education levels, middle-income level, longer commute time, and stronger public awareness are more affected by air pollution. In sum, policymakers should highlight the impact of the environment on people’s subjective well-being and formulate appropriate intervention policies to alleviate adverse demographic changes that may harm the sustainable development.

Economic Impact of Progression from Mild Cognitive Impairment to Alzheimer Disease in the United States

BackgroundLimited evidence exists on the economic burden of individuals who progress from mild cognitive impairment (MCI) to Alzheimer disease and related dementia disorders (ADRD).ObjectivesTo assess the all-cause health care resource utilization and costs for individuals who develop ADRD following an MCI diagnosis compared to those with stable MCI.DesignThis was a retrospective cohort study from January 01, 2014, to December 31, 2019.SettingThe Merative MarketScan Commercial and Medicare Databases were used.ParticipantsIndividuals were included if they: (1) were aged 50 years or older; (2) had ≥1 claim with an MCI diagnosis based on the International Classification of Diseases, Ninth Revision (ICD-9) code of 331.83 or the Tenth Revision (ICD-10) code of G31.84; and had continuous enrollment. Individuals were excluded if they had a diagnosis of Parkinson’s disease or ADRD or prescription of ADRD medication.MeasurementsOutcomes included all-cause utilization and costs per patient per year in the first 12 months following MCI diagnosis, in total and by care setting: inpatient admissions, emergency department (ED) visits, outpatient visits, and pharmacy claims.ResultsOut of the total of 5185 included individuals, 1962 (37.8%) progressed to ADRD (MCI-to-ADRD subgroup) and 3223 (62.2%) did not (Stable MCI subgroup). Adjusted all-cause utilization was higher for all care settings in the MCI-to-ADRD subgroup compared with the Stable MCI subgroup. Adjusted all-cause mean total costs ($34599 vs $24541; mean ratio [MR], 1.41 [95% CI, 1.31–1.51]; P<.001), inpatient costs ($47463 vs $38004; MR, 1.25 [95% CI, 1.08–1.44]; P=.002), ED costs ($4875 vs $3863; MR, 1.26 [95% CI, 1.11–1.43]; P<.001), and outpatient costs ($16652 vs $13015; MR, 1.28 [95% CI, 1.20–1.37]; P<.001) were all significantly higher for the MCI-to-ADRD subgroup compared with the Stable MCI subgroup.ConclusionsIndividuals who progressed from MCI to ADRD had significantly higher health care costs than individuals with stable MCI. Early identification of MCI and delaying its progression is important to improve patient and economic outcomes.

Policy Formulation for an Optimal Level of Savings in a Dynamic Setting

Objective: Previous literature on optimal savings relies on specific utility and production technology functional forms which might not be able to produce robust results as different utility / production functions may lead to dramatically different or opposing results. This paper derives an optimal savings policy based on parameters (such as slopes of demand and supply curves) which can be empirically estimated and provides a unique and robust result irrespective of shape and form of individual utilities / production functions. Furthermore, existing literature does not consider welfare loss when savings market is adjusting to final equilibrium after a shock while deriving an optimal savings policy. In addition to that, number of savers (all public and private saving entities, including households, firms, etc.) and saving rate are vital parameters for savings in an economy, and while deriving an optimal savings policy, it is necessary to take into consideration these parameters to ensure that quantum of savings due to interest rate movement gets adjusted in target time duration, without which there may be additional efficiency loss than that envisioned while deriving an optimal savings policy for an economy. Methods: This research project designs a dynamical model for savings market and extends that to a three-dimensional savings system in an economy by taking into consideration number of savers, saving rate, and interest rate; and based on that derives an optimal comprehensive savings policy while accounting for efficiency losses when savings market, saving rate, and number of savers are adjusting to final equilibrium, in addition to the welfare loss on account of equilibrium shift. Results: Without consideration of welfare loss / gain while savings market is adjusting after implementation of a savings policy, welfare picture remains incomplete, and the optimal savings policy based on partial welfare cannot be considered as optimal in true sense. Traditionally, welfare of only producer and consumer is taken into consideration without accounting for welfare of production factors. An expression of efficiency loss / gain as a result of savings policy based on welfare including those of production factors has been presented and optimal savings policies have been derived by minimizing efficiency losses and presented as a final result in the form of mathematical expressions. This paper demonstrates that both supply and demand shocks operate through a common channel, i.e., inventory of funds in savings market as both kinds of shock affect inventory of funds and hence can be categorized just as an inventory shock. Conclusion: For optimal welfare gains, practitioners / policy makers must estimate theoretically derived optimal savings policies based on the dynamic model developed in this paper and presented in the form of mathematical expressions from real world relevant data for implementation.

Synergistic consideration of co-treatment of sewage sludge, low-rank coal, and straw for sustainable resource utilization and enhanced energy efficiency: a review.

This article provides a comprehensive exploration of the imperative necessity for coupling the utilization of low-rank coal, sewage sludge, and straw. It studies the challenges and limitations of individual utilization methods, addressing the unique hurdles associated with feedstocks. It focused on achieving integrated and sustainable resource management, emphasizing efficient resource utilization, waste minimization, and environmental impact reduction. The investigation extends to the intricate details of reaction processes in co-processing, with a specific emphasis on the drying of raw materials to enhance combustion characteristics. The molding and preparation of feedstock are dissected, encompassing raw material selection, mixing, and the crucial addition of additives and binders. The proportions and homogenization of these feedstocks are intricately examined for uniformity and effectiveness. Furthermore, it presents theoretical approaches for investigating the co-combustion of these diverse feedstocks, contributing a solid foundation for future studies in this dynamic field. The findings presented in it offer valuable insights for researchers, practitioners, and policymakers seeking sustainable solutions in the co-disposal technology of these feedstocks. Therefore, it provides a holistic understanding of the challenges and opportunities in coupling the utilization of these selected feedstocks. By addressing individual limitations and emphasizing integrated resource management, the article establishes the groundwork for sustainable and efficient co-processing practices. The exploration of reaction processes gives a comprehensive framework for future research and application in the field of co-combustion technology. The insights gleaned from this study contribute significantly to advancing knowledge in the sustainable utilization of diverse feedstocks, guiding efforts towards environmentally responsible and resource-efficient practices.