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OBJECTIVES: Rumination is a risk factor after bereavement, predicting higher concurrent and prospective symptom levels of complicated grief and depression in mourners. Research has shown that rumination may consist of adaptive and maladaptive subtypes, but there has been a paucity of research in this topic in the bereavement area. Therefore, we aimed to clarify whether functional and dysfunctional forms of rumination can be distinguished after loss. DESIGN: Two-hundred and forty-two adults, who lost a first-degree family member on average 10 months previously, filled out questionnaires at three time points with 6 months between each time point. METHODS: Multiple regression analyses, controlled for loss-related variables, neuroticism, and baseline symptoms, were run to examine associations of subtypes of depressive rumination (brooding, reflection) and grief rumination (rumination about injustice, meaning, reactions, relationships and counterfactual thinking) with concurrent and prospective symptom levels of complicated grief and depression. RESULTS: Overall, grief rumination explained more variance in symptom levels than depressive rumination. Other major findings were that grief rumination about injustice predicted higher concurrent and prospective symptom levels of complicated grief and higher prospective symptom levels of depression. In contrast, grief rumination about emotional reactions was related to prospective reductions in symptoms of complicated grief. Reflection was also associated with prospective reductions of complicated grief and depressive symptom levels. CONCLUSIONS: Results indicate that adaptive and maladaptive forms of ruminative thinking can be distinguished in bereaved individuals. Therapeutic interventions for complicated grief could potentially be improved by including techniques aimed at reducing maladaptive rumination and increasing adaptive rumination. PRACTITIONER POINTS: Clinical implications Adaptive and maladaptive components of rumination after loss can be distinguished. They are differentially associated with concurrent and prospective symptom levels of complicated grief and depression in mourners. Adaptive rumination after bereavement is characterized by repetitive, self-focused thinking aimed at understanding one's depressive and loss-related emotional reactions. Maladaptive rumination is characterized by repetitive, self-focused thinking about injustice to the self and making passive comparisons between the current situation (in which one has experienced a loss) and unrealized alternatives. Psychological interventions for complicated grief may be improved by adding therapeutic techniques aimed at reducing maladaptive rumination and increasing adaptive rumination. Cautions and limitations This investigation relied exclusively on self-report measures. Conjugally bereaved women were overrepresented in the current sample. Complicated grief and depression levels in the current sample ranged from non-clinical to clinical. Effects may be more pronounced in a clinical sample

The significance of adolescent social competence for mental health in young adulthood

Publisher Copyright: © 2021Introduction: Social competence is one of the primary components of mental health development. This study examines the associations between adolescent competence and its components, and adulthood adaptive functioning and internalizing and externalizing problems. Methods: As part of a longitudinal study that begun in Finland in 1989, 191 mothers, 126 fathers and their 192 16–17-year-old adolescent children completed a standardized questionnaire, the Child Behavior Checklist or the Youth Self Report, to analyse the adolescents’ total competence and its subscales (activity, social skills and school performance). Ten years later, the former adolescents completed the corresponding Adult Self Report questionnaire to assess adaptive functioning as well as internalizing and externalizing symptoms. Results: Better total competence or social skills in adolescence were associated with a good level of adaptive functioning and a low level of internalizing symptoms in young adulthood. Better scores in school performance subscale according to the parents’ reports were associated with a low level of externalizing symptoms in young adulthood. Together with total competence and social skills, concurrent partner relationship status was associated with optimal outcomes. Conclusion: This study supports earlier findings that better social competence in adolescence is associated with fewer internalizing problems in young adulthood, and indicates a longitudinal association between adolescent competence and adult adaptive functioning. It is important to study whether interventions supporting adolescents’ competence could promote mental health in their subsequent development into young adulthood.Peer reviewe

Modelling iteration in engineering design

This paper examines design iteration and its modelling in the simulation of New Product Development (NPD) processes. A framework comprising six perspectives of iteration is proposed and it is argued that the importance of each perspective depends upon domain-specific factors. Key challenges of modelling iteration in process simulation frameworks such as the Design Structure Matrix are discussed, and we argue that no single model or framework can fully capture the iterative dynamics of an NPD process. To conclude, we propose that consideration of iteration and its representation could help identify the most appropriate modelling framework for a given process and modelling objective, thereby improving the fidelity of design process simulation models and increasing their utility

A Type-Safe Model of Adaptive Object Groups

Services are autonomous, self-describing, technology-neutral software units that can be described, published, discovered, and composed into software applications at runtime. Designing software services and composing services in order to form applications or composite services requires abstractions beyond those found in typical object-oriented programming languages. This paper explores service-oriented abstractions such as service adaptation, discovery, and querying in an object-oriented setting. We develop a formal model of adaptive object-oriented groups which offer services to their environment. These groups fit directly into the object-oriented paradigm in the sense that they can be dynamically created, they have an identity, and they can receive method calls. In contrast to objects, groups are not used for structuring code. A group exports its services through interfaces and relies on objects to implement these services. Objects may join or leave different groups. Groups may dynamically export new interfaces, they support service discovery, and they can be queried at runtime for the interfaces they support. We define an operational semantics and a static type system for this model of adaptive object groups, and show that well-typed programs do not cause method-not-understood errors at runtime.Comment: In Proceedings FOCLASA 2012, arXiv:1208.432

Extending and Implementing the Self-adaptive Virtual Processor for Distributed Memory Architectures

Many-core architectures of the future are likely to have distributed memory organizations and need fine grained concurrency management to be used effectively. The Self-adaptive Virtual Processor (SVP) is an abstract concurrent programming model which can provide this, but the model and its current implementations assume a single address space shared memory. We investigate and extend SVP to handle distributed environments, and discuss a prototype SVP implementation which transparently supports execution on heterogeneous distributed memory clusters over TCP/IP connections, while retaining the original SVP programming model

Measuring and Managing Answer Quality for Online Data-Intensive Services

Online data-intensive services parallelize query execution across distributed software components. Interactive response time is a priority, so online query executions return answers without waiting for slow running components to finish. However, data from these slow components could lead to better answers. We propose Ubora, an approach to measure the effect of slow running components on the quality of answers. Ubora randomly samples online queries and executes them twice. The first execution elides data from slow components and provides fast online answers; the second execution waits for all components to complete. Ubora uses memoization to speed up mature executions by replaying network messages exchanged between components. Our systems-level implementation works for a wide range of platforms, including Hadoop/Yarn, Apache Lucene, the EasyRec Recommendation Engine, and the OpenEphyra question answering system. Ubora computes answer quality much faster than competing approaches that do not use memoization. With Ubora, we show that answer quality can and should be used to guide online admission control. Our adaptive controller processed 37% more queries than a competing controller guided by the rate of timeouts.Comment: Technical Repor

Lifeguard: Local Health Awareness for More Accurate Failure Detection

SWIM is a peer-to-peer group membership protocol with attractive scaling and robustness properties. However, slow message processing can cause SWIM to mark healthy members as failed (so called false positive failure detection), despite inclusion of a mechanism to avoid this. We identify the properties of SWIM that lead to the problem, and propose Lifeguard, a set of extensions to SWIM which consider that the local failure detector module may be at fault, via the concept of local health. We evaluate this approach in a precisely controlled environment and validate it in a real-world scenario, showing that it drastically reduces the rate of false positives. The false positive rate and detection time for true failures can be reduced simultaneously, compared to the baseline levels of SWIM

Modelling and analyzing adaptive self-assembling strategies with Maude

Building adaptive systems with predictable emergent behavior is a challenging task and it is becoming a critical need. The research community has accepted the challenge by introducing approaches of various nature: from software architectures, to programming paradigms, to analysis techniques. We recently proposed a conceptual framework for adaptation centered around the role of control data. In this paper we show that it can be naturally realized in a reflective logical language like Maude by using the Reflective Russian Dolls model. Moreover, we exploit this model to specify, validate and analyse a prominent example of adaptive system: robot swarms equipped with self-assembly strategies. The analysis exploits the statistical model checker PVeStA

Study of SOA Component Dynamic Scheduling Based on Mobile Agent Coalition

Service-oriented components differ greatly with the traditional ones in the Service-Oriented Architecture. The ways of scheduling components seamlessly according to the agile computing needs to fit the e-business requirements is the key technology in the highly distributed, paralleled environment. In this paper, Based on the Multi-Agent Coalition, a new service-oriented component dynamic scheduling model is proposed, including the Multi-Agent Organization to schedule and coordinate the component assembly, the design of virtual execution task list table and self-learning algorithm, the definition of the Services component model, and the mechanism of collaboration Agents to search, discovery, concurrent schedule, dynamic assembly when execution in an heterogeneous network environment. To a large extent, the thesis solves the traditional problem of over-emphasis on centralized control logic, which leads to lacking flexibility in e-Business computing presently, and helps e-business service-oriented components become more adaptive, mobility and intelligence