Buddhist-Derived Loving-Kindness and Compassion Meditation for the Treatment of Psychopathology: a Systematic Review

Although clinical interest has predominantly focused on mindfulness meditation, interest into the clinical utility of Buddhist-derived loving-kindness meditation (LKM) and compassion meditation (CM) is also growing. This paper follows the PRISMA (preferred reporting items for systematic reviews and meta-analysis) guidelines and provides an evaluative systematic review of LKM and CM intervention studies. Five electronic academic databases were systematically searched to identify all intervention studies assessing changes in the symptom severity of Diagnostic and Statistical Manual of Mental Disorders (text revision fourth edition) Axis I disorders in clinical samples and/or known concomitants thereof in sub-clinical/healthy samples. The comprehensive database search yielded 342 papers and 20 studies (comprising a total of 1,312 participants) were eligible for inclusion. The Quality Assessment Tool for Quantitative Studies was then used to assess study quality. Participants demonstrated significant improvements across five psychopathology-relevant outcome domains: (i) positive and negative affect, (ii) psychological distress, (iii) positive thinking, (iv) interpersonal relations, and (v) empathic accuracy. It is concluded that LKM and CM interventions may have utility for treating a variety of psychopathologies. However, to overcome obstacles to clinical integration, a lessons-learned approach is recommended whereby issues encountered during the (ongoing) operationalization of mindfulness interventions are duly considered. In particular, there is a need to establish accurate working definitions for LKM and CM

Modeling the Effects of Maintenance on the degradation of a Water-feeding Turbo-pump of a Nuclear Power Plant

International audienceThis work addresses the modelling of the effects of maintenance on the degradation of an electric power plant component. This is done within a modelling framework previously proposed by the authors, of which the distinguishing feature is the characterization of the component living conditions by influencing factors (IFs), i.e. conditioning aspects of the component life that influence its degradation. The original fuzzy logic-based modelling framework includes maintenance as an IF; this requires one to jointly model its effects on the component degradation together with those of the other influencing factors. This may not come natural to the experts who are requested to provide the if-then linguistic rules at the basis of the fuzzy model linking the IFs with the component degradation state. An alternative modelling approach is proposed in this work, which does not consider maintenance as an IF that directly impacts on the degradation but as an external action that affects the state of the other IFs. By way of an example regarding the propagation of a crack in a water-feeding turbo-pump of a nuclear power plant, the approach is shown to properly model the maintenance actions based on information that can be more easily elicited from experts

Architectural mismatch tolerance

The integrity of complex software systems built from existing components is becoming more dependent on the integrity of the mechanisms used to interconnect these components and, in particular, on the ability of these mechanisms to cope with architectural mismatches that might exist between components. There is a need to detect and handle (i.e. to tolerate) architectural mismatches during runtime because in the majority of practical situations it is impossible to localize and correct all such mismatches during development time. When developing complex software systems, the problem is not only to identify the appropriate components, but also to make sure that these components are interconnected in a way that allows mismatches to be tolerated. The resulting architectural solution should be a system based on the existing components, which are independent in their nature, but are able to interact in well-understood ways. To find such a solution we apply general principles of fault tolerance to dealing with arch itectural mismatche

Vulnerable personality and Takotsubo cardiomyopathy consequent to emotional stressful events: a clinical case report

Introduction: Although the onset of Takotsubo cardiomyopathy (TTC) can be triggered by an acute, intense emotional stress, the exact pathogenic mechanisms still remain undefined. Presentation: A 58-year-old female was sent by ambulance to the Emergency Department (ED) for chest pain and ST elevations on ECG. Her chest pain began 3 hours before on admission after a domestic argument. Transthoracic echocardiogram showed severe systolic dysfunction with an ejection fraction of 20%. Cardiac catheterization revealed no significant coronary artery disease. The left ventriculogram showed apical ballooning with hyperdynamic proximal segments. A diagnosis of Takotsubo Cardiomyophaty (TTC) was made according to the Mayo Clinic 2008 criteria. The patient evolved with improvement of her condition and, therefore, was discharged from the hospital. Follow-up echocardiogram seven days later showed normal LV size and function with ejection fraction (EF) of 43%. Paykel Life Stress Event Scale identified as emotional trigger a domestic argument occurred 3 hours before symptom onset. History showed a major life stress event, death of a loved one, six months before symptoms. The patient underwent psychological assessment after hospital discharge by Emotional Regulation Questionnaire and BDI showing high suppression/ low reappraisal profile and moderate depression. Conclusion: This case highlights the hypothesis of a possible link between cognitive emotional processing and vulnerability to Takotsubo syndrome

Agreement and accuracy using the FIGO, ACOG and NICE cardiotocography interpretation guidelines.

INTRODUCTION: One of the limitations reported with cardiotocography (CTG) is the modest interobserver agreement observed in tracing interpretation. This study compared agreement, reliability and accuracy of CTG interpretation using the FIGO, ACOG and NICE guidelines. MATERIAL AND METHODS: A total of 151 tracings was evaluated by 27 clinicians from three centers where FIGO, ACOG and NICE guidelines were routinely used. Interobserver agreement was evaluated using the proportions of agreement (PA) and reliability with the kappa (k) statistic. The accuracy of tracings classified as "pathological/category III" was assessed for prediction of newborn acidemia. For all measures, 95% confidence intervals (95%CI) were calculated RESULTS: CTG classifications were more distributed with FIGO (9%, 52%, 39%) and NICE (30%, 33%, 37%) than with ACOG (13%, 81%, 6%). The category with the highest agreement was ACOG category II (PA=0.73 95%CI 0.70-76), and the ones with the lowest agreement were ACOG categories I and III. Reliability was significantly higher with FIGO (k=0.37, 95%CI 0.31-0.43), and NICE (k=0.33, 95%CI 0.28-0.39) than with ACOG (k= 0.15, 95%CI 0.10-0.21), however all represent only slight/fair reliability. FIGO and NICE showed a trend towards higher sensitivities in prediction of newborn acidemia (89% and 97% respectively) than ACOG (32%,), but the latter achieved a significantly higher specificity (95%) CONCLUSIONS: With ACOG guidelines there is high agreement in category II, low reliability, low sensitivity and high specificity in prediction of acidemia. With FIGO and NICE guidelines there is higher reliability, a trend towards higher sensitivity, and lower specificity in prediction of acidemia. This article is protected by copyright. All rights reserved

Weight loss and clinical characteristics of young adults patients seeking treatment at medical centers: Data from the QUOVADIS Study

OBJECTIVE: To compare clinical characteristics, attrition, weight loss, and psychological changes of obese young adults and obese adults seeking treatment. MATERIALS AND METHODS: 1530 individuals seeking treatment in 18 Italian medical centers were evaluated. 382 cases (25%) were classified as young adults (age≤35 years), 1148 (75%) as adults (>35 years). Psychological distress, binge eating, body uneasiness, and attitude towards eating were evaluated, at baseline and after a 12-month weight-loss program, together with BMI changes. Weight-loss expectations and primary motivation for seeking treatment were also recorded. RESULTS: At baseline, young adults reported significantly higher BMI at age 20, weight loss expectations and body uneasiness scores than adults. A significantly higher percentage of young adults also reported improving appearance as primary reason for seeking treatment. The attrition rate was significantly larger in young adults. Among completers, the mean percent weight loss at 12 months and improvement of psychosocial variables were significantly higher in young adults than in adults. By intention to treat, BMI changes were no longer significant between groups. DISCUSSION: Obese young adults lose more weight and considerably improve psychological distress, but show a higher attrition rate after 12 months of continuous care in a real world medical setting

More about orbitally excited hadrons from lattice QCD

This is a second paper describing the calculation of spectroscopy for orbitally excited states from lattice simulations of Quantum Chromodynamics. New features include higher statistics for P-wave systems and first results for the spectroscopy of D-wave mesons and baryons, for relatively heavy quark masses. We parameterize the Coulomb gauge wave functions for P-wave and D-wave systems and compare them to those of their corresponding S-wave states.Comment: 21 pages plus 14 figs, 3 include