Optimal Experience and Meaning: Which Relationship?

A large number of studies conducted in the last twenty years show that optimal experience is a positive and complex condition in which cognitive, motivational and emotional components coexist in a coherent and articulated reciprocal integration. By virtue of its positive psychological features, optimal experience has been sometimes misunderstood as a state which automatically brings about well-being and development. Several studies have disconfirmed this assumption, showing that the outcomes of optimal experience are not automatically positive. Rather, they vary according to the features of the associated activities and to the value system of the cultural environment. Researchers in this domain have been primarily devoted their attention to the structure of the activities that promote optimal experience, and to the goal pursuit they facilitate. Goals are given a prominent role in development in that they provide individuals with practical orientation and purpose in life. But something is missing in this framework: meaning. What do we know about the relationship between optimal experience and meaning making? Based on findings coming from different contexts and cultures, this paper tries to give optimal experience a role within the long-term process of meaning-making

Statin use and survival in resectable pancreatic cancer: confounders and mechanisms.

A first point regards the possible activity of drugs other than statins, such as aspirin or metformin, against pancreatic cancer. As many patients use a combination of these drugs, one might speculate that the association between simvastatin and overall survival in resected pancreatic cancer patients might also be explained by the concomitant use of aspirin or metformin, or that these drugs might result synergistic, as hypothesized for colorectal cancer (3). We wonder whether the authors had access to data on aspirin or metformin use for their population. A second point regards the very high 45% rate of simvastatin or lovastatin users reported by the authors. This figure is different from that of many European countries, thus possibly limiting the attributable fraction of cases for whom the observed findings can be replicated

Meaning in life: structure, sources and relations with mental and physical health

Meaning in life is a core component of human experience, and it plays a relevant role in the promotion of mental, social and physical well-being, as well as in the successful adaptation to adverse conditions, including chronic and progressive diseases. This paper provides an overview of the most recent conceptualizations of meaning in the psychological domain, specifically addressing its tripartite structure, encompassing the facets of coherence, significance and purpose. Empirical evidence will be summarized concerning the role of social relationships and self-transcendence as primary sources of meaning in life. Research findings highlighting the role of meaning as a core component of mental health,and as a resource in adaptively managing illness consequences on daily functioning and life goals will be also reported. Current research gaps and future directions for theoretical and empirical advancements will be outlined

Application of clinical indexes in ulcerative colitis patients in regular follow-up visit. correlation with endoscopic 'mucosal healing' and implication for management

OBJECTIVE: Ulcerative Colitis (UC) is a chronic inflammatory disease of the colon of unknown etiology. Several clinical indexes have been proposed for UC disease activity evaluation, but none have been properly validated. Moreover, the reference parameter for the scores and their prognostic value is not clear. Mucosal healing has been recently proposed as an important end-point. Aim of the present study was to evaluate the correlation of four clinical indexes with objective diagnostic tools for UC evaluation, the discriminative ability in identifying patients with endoscopic mucosal healing, and to analyze the possible prognostic indication for disease course in 1 year of follow-up. PATIENTS AND METHODS: We analyzed data of 75 patients recorded in regular follow-up visit in IBD clinic at S. Andrea Hospital, Rome, between 2007-2011. We recorded clinical data and lab tests at the time of the visit, and endoscopic/ histological repor ts performed within 1 month. Clinical indexes (Seo' activity index, Simple Clinical Colitis Activity Index, partial Mayo score and Endoscopic-Clinical Correlation Index) were calculated and correlation to endoscopic and histologic activity, and to C-reactive protein increment, was assessed by mean of Spearman's rank correlation. Discriminative ability of the indexes for patients with and without endoscopic mucosal healing was tested by calculation of area under ROC curve (AUC). Patients with low and high clinical scores were compared for number of flares and increment of therapy during 1 year of follow-up. RESULTS: Clinical indexes had a good correlation with endoscopic activity (mean r = 0.73 ± 0.06), a fair correlation with CRP-increment (mean r = 0.55 ± 0.01) and a poor one with histologic activity (mean r = 0.35 ± 0.01). The discriminatory ability of the indexes for endoscopic mucosal healing was good for all the indexes (mean AUC = 0.87 ± 0.05). Patients with high clinical score had more flares and required more frequently increase of therapy at 1 year of follow up compared with patients with low score. CONCLUSIONS: Clinical indexes have a good correlation with endoscopic activity and can discriminate patients with and without mucosal healing. Patients with low and high score have different risk of disease flare and of need to increase therapy at 1 year. Clinical indexes may represent a useful tool for disease assessment in clinical practice in UC outpatients with mildmoderate disease

Development of an Ex Vivo Organ Culture Technique to Evaluate Probiotic Utilization in IBD

The consistent technical and conceptual progress in the study of the microbiota has led novel impulse to the research for therapeutical application of probiotic bacteria in human pathologies, such as inflammatory bowel disease (IBD). Considering the heterogenous results of probiotics in clinical studies, the model of translational medicine may lead to a more specific and efficacious utilization of probiotic bacteria in IBD. In this regard, the selection and utilization of appropriate experimental models may drive the transition from pure in vitro systems to practical clinical application. We developed a simple and reproducible ex vivo organ culture method with potential utilization for the evaluation of probiotic bacteria efficacy in IBD patients

Vivendo em família ou em instituição: a experiência ótima, metas e desafios na vida de adolescentes

The influence of family relationships on adolescents' behavior and development has been widely investigated. This study examines the relationship between family structure and a) adolescents' quality of experience in daily activities and social contexts b) adolescents' perceived life influences, challenges and goals. To achieve this aim, Flow Questionnaire and Life Theme Questionnaire were administered to 50 Italian girls (15-21 years of age), 25 living in two-parent families, 25 entrusted to Institutions for Custody of Minors. The findings suggest tha adolescents' perception of a positive and supportive family enviroment fosters the active search for challenges and enjoyment in daily activities, and the involvement in productive and social contexts. On the contrary , negative family perception is related to lack of engagement and motivation, and to the prevalence of low-challenge activities as sources of enjoyment and satisfaction. Although the sample size does not allow us to draw conclusions about causality, the results confirm the crucial role of family in influencing adolescents' psychological and behavioral development.A influência das relações familiares no comportamento e desenvolvimento de adolescentes tem sido amplamente investigada. Este estudo examina a relação entre a estrutura familiar e a qualidade das experiências de adolescentes nas atividades diárias e contextos sociais, e a percepção que eles têm das influências em suas vidas, de seus desafios e metas. Para atingir estes objetivos, Flow Questionnaire e o Life Theme Questionnaire foram aplicados a 50 adolescentes italianas (15-21 anos), 25 vivendo em famílias com ambos os pais, 25 em Instituições Abrigo. Os dados sugerem que a percepção dos adolescentes de um ambiente familiar positivo e acolhedor incentiva a busca por atividades diárias desafiadoras e agradáveis e o envolvimento em contextos sociais produtivos. Ao contrário, uma percepção negativa da família está relacionada com falta de engajamento e motivação e a prevalência de atividades com baixo índice de desafio como fonte de divertimento e satisfação. Os resultados, apesar de se ter uma amostra pequena que não permite generalizações, confirmam o papel crucial da família no influenciar o desenvolvimento psicológico e comportamental dos adolescentes

Bounded Decentralised Coordination over Multiple Objectives

We propose the bounded multi-objective max-sum algorithm (B-MOMS), the first decentralised coordination algorithm for multi-objective optimisation problems. B-MOMS extends the max-sum message-passing algorithm for decentralised coordination to compute bounded approximate solutions to multi-objective decentralised constraint optimisation problems (MO-DCOPs). Specifically, we prove the optimality of B-MOMS in acyclic constraint graphs, and derive problem dependent bounds on its approximation ratio when these graphs contain cycles. Furthermore, we empirically evaluate its performance on a multi-objective extension of the canonical graph colouring problem. In so doing, we demonstrate that, for the settings we consider, the approximation ratio never exceeds 2, and is typically less than 1.5 for less-constrained graphs. Moreover, the runtime required by B-MOMS on the problem instances we considered never exceeds 30 minutes, even for maximally constrained graphs with $100$ agents. Thus, B-MOMS brings the problem of multi-objective optimisation well within the boundaries of the limited capabilities of embedded agents

Multi-objective Decentralised Coordination for Teams of Robotic Agents

This thesis introduces two novel coordination mechanisms for a team of multiple autonomous decision makers, represented as autonomous robotic agents. Such techniques aim to improve the capabilities of robotic agents, such as unmanned aerial or ground vehicles (UAVs and UGVs), when deployed in real world operations. In particular, the work reported in this thesis focuses on improving the decision making of teams of such robotic agents when deployed in an unknown, and dynamically changing, environment to perform search and rescue operations for lost targets. This problem is well known and studied within both academia and industry and coordination mechanisms for controlling such teams have been studied in both the robotics and the multi-agent systems communities. Within this setting, our first contribution aims at solves a canonical target search problem, in which a team of UAVs is deployed in an environment to search for a lost target. Specifically, we present a novel decentralised coordination approach for teams of UAVs, based on the max-sum algorithm. In more detail, we represent each agent as a UAV, and study the applicability of the max-sum algorithm, a decentralised approximate message passing algorithm, to coordinate a team of multiple UAVs for target search. We benchmark our approach against three state-of-the-art approaches within a simulation environment. The results show that coordination with the max-sum algorithm out-performs a best response algorithm, which represents the state of the art in the coordination of UAVs for search, by up to 26%, an implicitly coordinated approach, where the coordination arises from the agents making decisions based on a common belief, by up to 34% and finally a non-coordinated approach by up to 68%. These results indicate that the max-sum algorithm has the potential to be applied in complex systems operating in dynamic environments. We then move on to tackle coordination in which the team has more than one objective to achieve (e.g. maximise the covered space of the search area, whilst minimising the amount of energy consumed by each UAV). To achieve this shortcoming, we present, as our second contribution, an extension of the max-sum algorithm to compute bounded solutions for problems involving multiple objectives. More precisely, we develop the bounded multi-objective max-sum algorithm (B-MOMS), a novel decentralised coordination algorithm able to solve problems involving multiple objectives while providing guarantees on the solution it recovers. B-MOMS extends the standard max-sum algorithm to compute bounded approximate solutions to multi-objective decentralised constraint optimisation problems (MO-DCOPs). Moreover, we prove the optimality of B-MOMS in acyclic constraint graphs, and derive problem dependent bounds on its approximation ratio when these graphs contain cycles. Finally, we empirically evaluate its performance on a multi-objective extension of the canonical graph colouring problem. In so doing, we demonstrate that, for the settings we consider, the approximation ratio never exceeds $2$, and is typically less than $1.5$ for less-constrained graphs. Moreover, the runtime required by B-MOMS on the problem instances we considered never exceeds $30$ minutes, even for maximally constrained graphs with one hundred agents