Forgiveness in Psychology and Law: The Meeting of Moral Development and Restorative Justice

This article discusses the psychological meaning of forgiveness and its relation to the criminal justice system. Includes a discussion of the four phases of the development progression of forgiveness

Parenting profiles and adult children’s internalizing and externalizing symptoms: the protective role of forgiveness.

Early negative parenting practices have long been implicated in the etiology of internalizing and externalizing symptoms in adult children. Yet, little is known about how parenting behaviors would interact with adult children’s forgiveness toward parents in the expression of internalizing and externalizing symptoms in adulthood. Understanding the interplay between parenting and forgiveness may be crucial for identifying refined treatments in psychosocial interventions for mental health problems. The study consisted of a sample of adults (N = 287, mean age = 24.17, 74.2% female), who completed questionnaires online about their perceived parenting behaviors in childhood/adolescence, forgiveness toward their parents, and current internalizing and externalizing symptoms. Approximately 75% of the sample reported hurt caused by parental injustice. Latent Profile Analysis (LPA) was used to derive maternal and paternal parenting profiles from two positive (warmth and behavioral control) and two negative (hostility and psychological control) parenting behaviors. Maternal parenting profiles and forgiveness toward mother were associated with adult children’s internalizing and externalizing symptoms. Paternal parenting profiles were associated only with internalizing symptoms. However, adult children who experienced more positive paternal parenting had fewer externalizing symptoms compared to individuals who experienced more negative paternal parenting but only under conditions of high levels of forgiveness toward father. Results provide evidence that forgiveness toward parents may protect children from mental health issues, but also highlight the effects of paternal parenting on externalizing symptoms which may vary by individual differences in forgiveness.post-print873 K

The photodecomposition product μ-oxalato-1κ^2O,O′:2κ^2O″,O‴-bis{bis[2-(2-pyridyl)phenyl-κ^2C,N]iridium(III)}–acetone (1/1.974)

An attempt to grow crystals of [Ir(ppy)_2(vacac)], (I), from an acetone-d_6 solution formed instead crystals of [{Ir(ppy)_2}_2(μ-oxalato)] acetone solvate, (II), [Ir_2(C_(11)H_8N)_4(C_2O_4)]·1.974C_3H_6O, where ppy is the phenyl­pyridine anion and vacac is vin­ylacetyl­acetonate. Each Ir^(III) ion in (II) is in a pseudo-octa­hedral coordination environment, where the pyridine N atoms are trans to each other and the phen­yl C atoms are trans to the O atoms of the oxalate bridging ligand. There are two crystallographically independent dimer molecules, each lying on an inversion centre. It is suggested that the oxalate ligand is formed in a series of steps initiated by the aldol condensation of acetone with vacac

Effects of resistance exercise, collagen ingestion and circulating oestrogen concentration on collagen synthesis in a female athlete: a case report.

We investigated the effects of resistance exercise (RE), hydrolysed collagen (HC) ingestion and circulating oestrogen concentration on collagen synthesis in a naturally menstruating female CrossFit athlete. In a double-blind, randomised cross-over design, the participant (36 years; height 1.61 m; mass 82.6 kg) consumed 0 or 30 g HC prior to performing back-squat RE when endogenous circulating oestrogen concentration was low (onset of menses, OM) and high (late follicular phase, LF) during two consecutive menstrual cycles. Ten 5-mL blood samples were collected during each of the four interventions to analyse concentrations of serum 17β-oestradiol, and biomarkers of type I collagen turnover, that is serum procollagen type I N-terminal propeptide (PINP, a biomarker of collagen synthesis) and plasma β-isomerised C-terminal telopeptide of type I collagen (β-CTX, a biomarker of collagen breakdown), as well as the serum concentration of 18 collagen amino acids. 17β-Oestradiol concentration was 5-fold higher at LF (891 ± 116 pmol L−1) than OM (180 ± 13 pmol L−1). The PINP concentration × time area under the curve (AUC) was higher in the 30 g HC OM intervention (201 μg L−1 h) than the 30 g HC LF (144 μg L−1 h), 0 g HC OM (151 μg L−1 h) and 0 g HC LF (122 μg L−1 h) interventions. β-CTX concentration decreased 1.4-fold from pre-RE to 6 h post-RE in all interventions. Thus, high circulating oestrogen concentration was associated with lower collagen synthesis following RE in this female athlete. Ingesting 30 g HC, however, augmented the collagen synthesis response at LF and particularly at OM. Highlights: What is the central question of this study? Does resistance exercise-induced collagen synthesis vary according to circulating oestrogen concentration in a naturally menstruating female athlete, and if so, does hydrolysed collagen ingestion have any impact? What is the main finding and its importance? Exercise-induced collagen synthesis was low when circulating oestrogen concentration was high and vice versa. However, ingesting 30 g hydrolysed collagen prior to exercise reduced the negative effect of oestrogen on collagen synthesis. As high circulating oestrogen has been associated with greater injury risk in females, supplementing exercise with hydrolysed collagen may help protect these tissues from injury

Measuring Intergroup Forgiveness: The Enright Group Forgiveness Inventory

Until recently, researchers operationalized and measured the psychological construct of forgiveness at the individual, rather than the group, level. Social psychologists started applying forgiveness to groups and examining the role intergroup forgiveness may have in conflict resolution and peace efforts. Initial attempts to define and measure forgiveness at the group level either assumed individual and group capacities were the same, or insufficiently described what intergroup forgiveness meant. We developed a new measure of intergroup forgiveness, and a novel group administration process, that operationalized the construct in a philosophically coherent way. Our conceptualization of intergroup forgiveness was rooted in what groups, as opposed to the individuals who compose them, have the capacity to do. We collected data on the psychometric properties of the measure with 595 participants in three different geographic and cultural settings. We assessed the factor structure, internal consistency, and validity of the measure. We also assessed a novel group-based method of administering the measure to better understand the relationship between group based reports and self-reports of intergroup forgiveness. The factor structure of the measure was supported, and the measure had strong internal consistency, as well as convergent and discriminant validity. The group administration process revealed important group dynamics and was not statistically different than a standard self-report administration; this finding has important implications for research and practice

Induction of Asthma and the Environment: What We Know and Need to Know

The prevalence of asthma has increased dramatically over the last 25 years in the United States and in other nations as a result of ill-defined changes in living conditions in modern society. On 18 and 19 October 2004 the U.S. Environmental Protection Agency and the National Institute of Environmental Health Sciences sponsored the workshop “Environmental Influences on the Induction and Incidence of Asthma” to review current scientific evidence with respect to factors that may contribute to the induction of asthma. Participants addressed two broad questions: a) What does the science suggest that regulatory and public health agencies could do now to reduce the incidence of asthma? and b) What research is needed to improve our understanding of the factors that contribute to the induction of asthma and our ability to manage this problem? In this article (one of four articles resulting from the workshop), we briefly characterize asthma and its public health and economic impacts, and intervention strategies that have been successfully used to prevent induction of asthma in the workplace. We conclude with the findings of seven working groups that focus on ambient air, indoor pollutants (biologics), occupational exposures, early life stages, older adults, intrinsic susceptibility, and lifestyle. These groups found strong scientific support for public health efforts to limit in utero and postnatal exposure to cigarette smoke. However, with respect to other potential types of interventions, participants noted many scientific questions, which are summarized in this article. Research to address these questions could have a significant public health and economic impact that would be well worth the investment

Whole Genome Characterization of the Mechanisms of Daptomycin Resistance in Clinical and Laboratory Derived Isolates of Staphylococcus aureus

Background: Daptomycin remains one of our last-line anti-staphylococcal agents. This study aims to characterize the genetic evolution to daptomycin resistance in S. aureus. Methods: Whole genome sequencing was performed on a unique collection of isogenic, clinical (21 strains) and laboratory (12 strains) derived strains that had been exposed to daptomycin and developed daptomycin-nonsusceptibility. Electron microscopy (EM) and lipid membrane studies were performed on selected isolates. Results: On average, six coding region mutations were observed across the genome in the clinical daptomycin exposed strains, whereas only two mutations on average were seen in the laboratory exposed pairs. All daptomycin-nonsusceptible strains had a mutation in a phospholipid biosynthesis gene. This included mutations in the previously described mprF gene, but also in other phospholipid biosynthesis genes, including cardiolipin synthase (cls2) and CDP-diacylglycerol-glycerol-3-phosphate 3-phosphatidyltransferase (pgsA). EM and lipid membrane composition analyses on two clinical pairs showed that the daptomycin-nonsusceptible strains had a thicker cell wall and an increase in membrane lysyl-phosphatidylglycerol. Conclusion: Point mutations in genes coding for membrane phospholipids are associated with the development of reduced susceptibility to daptomycin in S. aureus. Mutations in cls2 and pgsA appear to be new genetic mechanisms affecting daptomycin susceptibility in S. aureus

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

From Europe PMC via Jisc Publications RouterHistory: epub 2022-08-15, ppub 2022-10-01Publication status: PublishedFunder: UK Research and Innovation; Grant(s): ST/V006126/1, EP/V054236/1, EP/V033670/1We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs-a series of ideas, approaches and methods taken from existing visualization research and practice-deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'

Population genetic structure, antibiotic resistance, capsule switching and evolution of invasive pneumococci before conjugate vaccination in Malawi

INTRODUCTION: Pneumococcal infections cause a high death toll in Sub Saharan Africa (SSA) but the recently rolled out pneumococcal conjugate vaccines (PCV) will reduce the disease burden. To better understand the population impact of these vaccines, comprehensive analysis of large collections of pneumococcal isolates sampled prior to vaccination is required. Here we present a population genomic study of the invasive pneumococcal isolates sampled before the implementation of PCV13 in Malawi. MATERIALS AND METHODS: We retrospectively sampled and whole genome sequenced 585 invasive isolates from 2004 to 2010. We determine the pneumococcal population genetic structure and assessed serotype prevalence, antibiotic resistance rates, and the occurrence of serotype switching. RESULTS: Population structure analysis revealed 22 genetically distinct sequence clusters (SCs), which consisted of closely related isolates. Serotype 1 (ST217), a vaccine-associated serotype in clade SC2, showed highest prevalence (19.3%), and was associated with the highest MDR rate (81.9%) followed by serotype 12F, a non-vaccine serotype in clade SC10 with an MDR rate of 57.9%. Prevalence of serotypes was stable prior to vaccination although there was an increase in the PMEN19 clone, serotype 5 ST289, in clade SC1 in 2010 suggesting a potential undetected local outbreak. Coalescent analysis revealed recent emergence of the SCs and there was evidence of natural capsule switching in the absence of vaccine induced selection pressure. Furthermore, majority of the highly prevalent capsule-switched isolates were associated with acquisition of vaccine-targeted capsules. CONCLUSIONS: This study provides descriptions of capsule-switched serotypes and serotypes with potential to cause serotype replacement post-vaccination such as 12F. Continued surveillance is critical to monitor these serotypes and antibiotic resistance in order to design better infection prevention and control measures such as inclusion of emerging replacement serotypes in future conjugate vaccines

Genome-Wide Comparative Gene Family Classification

Correct classification of genes into gene families is important for understanding gene function and evolution. Although gene families of many species have been resolved both computationally and experimentally with high accuracy, gene family classification in most newly sequenced genomes has not been done with the same high standard. This project has been designed to develop a strategy to effectively and accurately classify gene families across genomes. We first examine and compare the performance of computer programs developed for automated gene family classification. We demonstrate that some programs, including the hierarchical average-linkage clustering algorithm MC-UPGMA and the popular Markov clustering algorithm TRIBE-MCL, can reconstruct manual curation of gene families accurately. However, their performance is highly sensitive to parameter setting, i.e. different gene families require different program parameters for correct resolution. To circumvent the problem of parameterization, we have developed a comparative strategy for gene family classification. This strategy takes advantage of existing curated gene families of reference species to find suitable parameters for classifying genes in related genomes. To demonstrate the effectiveness of this novel strategy, we use TRIBE-MCL to classify chemosensory and ABC transporter gene families in C. elegans and its four sister species. We conclude that fully automated programs can establish biologically accurate gene families if parameterized accordingly. Comparative gene family classification finds optimal parameters automatically, thus allowing rapid insights into gene families of newly sequenced species