Empirical evidence underscores an association between parental stress and emotional and behavioral problems in offspring. However, a comprehensive systematic review or meta-analysis on this topic is ...lacking. Thus, this study aims to address the scientific inquiry: Is there a relationship between parental stress and emotional/behavioral problems in children?
This systematic review with a meta-analysis surveyed PubMed, PsycINFO, and the Biblioteca Virtual em Saúde between August and September 2021. The present search combined terms (school-age children) AND (parental stress OR parenting stress OR family stress) AND (emotional and behavioral problems OR internalizing and externalizing problems). Eligibility criteria encompassed cross-sectional, cohort, and case-control studies published within the last five years, exploring the association between parental stress (stressful life events and parenthood-related stress disorders) and emotional/behavioral problems in school-age children. PROSPERO ID CRD42022274034.
Of the 24 studies meeting all inclusion criteria (n = 31,183) for the systematic review, nine were eligible for inclusion in the meta-analysis. The meta-analysis revealed an association between parental stress and emotional problems (COR: 0.46 95 % CI: 0.27 - 0.61, p < 0.001, Heterogeneity = 89 %) as well as behavioral problems (COR: 0.37 95 % CI: 0.27 - 0.46, p < 0.001, Heterogeneity = 76 %).
These findings indicate that parental stress predicts emotional/behavioral problems in school-age children. Since these problems are related to long-term negative effects in adulthood, these results are crucial for preventing mental health problems in offspring and for screening and managing parental stress.
Assessing problem-solving remains a challenge for both teachers and researchers. With the aim of contributing to the understanding of this complex process, this paper presents an exploratory study of ...peer assessment in mathematical problem-solving activities. The research was conducted with a group of future Secondary mathematics teachers who first were asked to individually solve an open-ended problem and then, to assess a classmate’s answer in pairs. We present a study of two cases involving two pairs of students, each of whom assessed the solution of a third classmate. The analysis was carried out in two interrelated phases: (a) individual solutions to the mathematical problem and (b) the peer assessment process. The results show that, in both cases, the assessors were strongly attached to their own solutions, which directly influenced the assessment process, focused on aspects that involve the general problem-solving process and the results. The main difference between the evaluation processes followed by the two pairs lies in the concept of assessment. While the first pair focuses on assessing the resolution process and errors, the other focuses its discussion on giving a numerical grade.
The Cauchy problem for the Helmholtz equation appears in various applications. The problem is severely ill-posed and regularization is needed to obtain accurate solutions. We start from a formulation ...of this problem as an operator equation on the boundary of the domain and consider the equation in (H1/2)∗ spaces. By introducing an artificial boundary in the interior of the domain we obtain an inner product for this Hilbert space in terms of a quadratic form associated with the Helmholtz equation; perturbed by an integral over the artificial boundary. The perturbation guarantees positivity property of the quadratic form. This inner product allows an efficient evaluation of the adjoint operator in terms of solution of a well-posed boundary value problem for the Helmholtz equation with transmission boundary conditions on the artificial boundary.
In an earlier paper we showed how to take advantage of this framework to implement the conjugate gradient method for solving the Cauchy problem. In this work we instead use the Conjugate gradient method for minimizing a Tikhonov functional. The added penalty term regularizes the problem and gives us a regularization parameter that can be used to easily control the stability of the numerical solution with respect to measurement errors in the data. Numerical tests show that the proposed algorithm works well.
•Systems thinking is a critical skill needed to work on problems facing society.•A framework is presented for an interdisciplinary development of systems thinking competency.•A scenario and scoring ...rubric for measuring systems thinking competency is shared.
An increasingly important aim of higher education is to develop graduates capable of addressing complex, interdependent problems. Systems thinking is a critical interdisciplinary skill that describes the cognitive flexibility needed to collaboratively work on problems facing society. Although institutions of higher education are asked to develop systems thinkers and many programs strive towards such an aim, mechanisms to assess this competency are lacking. This paper (1) presents a framework for operationalizing systems thinking competency, and (2) shares a novel scenario-based assessment tool based on the framework. The paper describes the iterative development of the community-level problem scenario and associated scoring rubric based on a set of 93 student responses. Appendices contain the full tool consisting of the problem scenario, scoring rubric, and other guiding documents to enable others to adopt the tool for research purposes or to assess student outcomes from university programs.
An inverse problem of finding an unknown heat source for a class of linear parabolic equations is considered. Such problems can typically be converted to a direct problem with non-local conditions in ...time instead of an initial value problem. Standard ways of solving these non-local problems include direct temporal and spatial discretization as well as the shooting method, which may be computationally expensive in higher dimensions. In the present article, we present approaches based on low-rank approximation via Arnoldi algorithm to bypass the computational limitations of the mentioned classical methods. Regardless of the dimension of the problem, we prove that the Arnoldi approach can be effectively used to turn the inverse problem into a simple initial value problem at the cost of only computing one-dimensional matrix functions while still retaining the same accuracy as the classical approaches. Numerical results in dimensions d=1,2,3 are provided to validate the theoretical findings and to demonstrate the efficiency of the method for growing dimensions.
Multimodal multiobjective optimization problems (MMOPs) are commonly seen in real-world applications. Many evolutionary algorithms have been proposed to solve continuous MMOPs. However, little effort ...has been made to solve combinatorial (or discrete) MMOPs. Searching for equivalent Pareto-optimal solutions in the discrete decision space is challenging. Moreover, the true Pareto-optimal solutions of a combinatorial MMOP are usually difficult to know, which has limited the development of its optimizer. In this article, we first propose a test problem generator for multimodal multiobjective traveling salesman problems (MMTSPs). It can readily generate MMTSPs with known Pareto-optimal solutions. Then, we propose a novel evolutionary algorithm to solve MMTSPs. In our proposed algorithm, we develop two new edge assembly crossover operators, which are specialized in searching for superior solutions to MMTSPs. Moreover, the proposed algorithm uses a new environmental selection operator to maintain a good balance between the objective space diversity and decision space diversity. We compare our algorithm with five state-of-the-art designs. Experimental results convincingly show that our algorithm is powerful in solving MMTSPs.
COVID-19 presents significant social, economic, and medical challenges. Because COVID-19 has already begun to precipitate huge increases in mental health problems, clinical psychological science must ...assert a leadership role in guiding a national response to this secondary crisis. In this article, COVID-19 is conceptualized as a unique, compounding, multidimensional stressor that will create a vast need for intervention and necessitate new paradigms for mental health service delivery and training. Urgent challenge areas across developmental periods are discussed, followed by a review of psychological symptoms that likely will increase in prevalence and require innovative solutions in both science and practice. Implications for new research directions, clinical approaches, and policy issues are discussed to highlight the opportunities for clinical psychological science to emerge as an updated, contemporary field capable of addressing the burden of mental illness and distress in the wake of COVID-19 and beyond.
Public Significance Statement
Clinical psychological science must lead a national response to address mental health issues following COVID-19. This article highlights urgent challenges to confront, and timely opportunities to contemporize a field to better address mental health issues now and long after. The article concludes by discussing implications for new research directions, clinical approaches, and policy issues.
In this survey paper, we start with a discussion of the general fractional derivative (GFD) introduced by A. Kochubei in his recent publications. In particular, a connection of this derivative to the ...corresponding fractional integral and the Sonine relation for their kernels are presented. Then we consider some fractional ordinary differential equations (ODEs) with the GFD including the relaxation equation and the growth equation. The main part of the paper is devoted to the fractional partial differential equations (PDEs) with the GFD. We discuss both the Cauchy problems and the initial-boundary-value problems for the time-fractional diffusion equations with the GFD. In the final part of the paper, some results regarding the inverse problems for the differential equations with the GFD are presented.
Residential mobility and caregiver social support are two key factors influencing adolescents’ and their caregivers’ health status. However, few studies have examined whether these factors vary ...across developmental periods. The present study therefore adopted a life course perspective to investigate the longitudinal effects of residential mobility and caregiver social support on a range of individual health outcomes (i.e., caregiver depression, adolescent internalizing problems, and adolescent externalizing problems) among families exposed to disadvantaged social and economic conditions. Data were obtained from the Longitudinal Studies in Child Abuse and Neglect, and 425 children and their caregivers who completed the age 12, 14, 16, and 18 interviews were included in this study. Structural equation modeling was conducted to test the measurement and structural models. The results showed that greater residential mobility was significantly associated with higher levels of caregiver depression, which in turn led to more adolescent internalizing and externalizing problems. Alternatively, higher levels of caregiver social support mitigated the levels of caregiver depression, which in turn resulted in fewer adolescent internalizing and externalizing problems. Highly mobile children and their caregivers were found to be vulnerable to several negative health outcomes and in high need of mental and behavioral health support and services. These findings inform important policy and practice implications on social support for mobile caregivers to address their children’s behavioral problems.
Highlights
This study examined the associations between residential mobility, caregiver social support, caregiver depression, and adolescent behavioral problems among disadvantaged families.
Greater childhood residential mobility is associated with increased adolescents’ behavioral health problems.
Caregiver social support is a significant protective factor for decreasing adolescents’ behavioral health problems.
Caregiver depression mediates the associations between residential mobility and caregiver social support, respectively, with adolescents’ health outcomes.
The findings inform important policy and practice implications in addressing residential instability and behavioral health problems.
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