Service as a Component of Graduate Training in Professional Psychology

This article examines the outcomes of a Community Service Weekend in Residence (CS-WIR) program for students engaged in graduate training in professional psychology. The data were collected from eight clinical psychology students’ feedback about their experiences during the CS-WIR as well as self-reports of perceived satisfaction and impact on various areas of professional development. Results suggested that students were satisfied with their experience in the CS-WIR and perceived that the weekend contributed to their professional development, even though the tasks of the community service project differed from tasks typical to training in professional psychology. Further, students voluntarily identified the community service project as one of the most beneficial aspects of the entire experience in terms of their professional development and noted that the likelihood to engage in future service had been significantly impacted as a result of their participation

LM LINUSS™ - Lockheed Martin In-Space Upgrade Servicing System

The LM LINUSS system is a pair of LM 50™ 12U CubeSats – each about the size of a four-slice toaster – designed to demonstrate how small satellites can serve an essential role in sustaining critical space architectures in any orbit. Developed using internal funding, the LM LINUSS system performed multiple demonstrations in Geosynchronous Earth Orbit (GEO). The LM LINUSS mission is to validate essential maneuvering capabilities for Lockheed Martin’s (LM) future space upgrade and servicing missions, as well as to showcase miniaturized Space Domain Awareness capabilities. The LM LINUSS mission also demonstrated mature new onboard high-performance processing by Innoflight; low-toxicity propulsion by VACCO; inertial measurement units, machine vision, 3-D printed components and SmartSat™ (transformational on-orbit software upgrade architecture) technologies by LM. Part of Lockheed Martin’s LM50 family of smallsats, both LM LINUSS spacecraft – measuring roughly 8x8x12 inches – are the collaborative integration of the company’s mission electro-optical payload deck with a next-generation 12U bus from Tyvak Nano-Satellite Systems, a Terran Orbital Company. On orbit performance data from 1Q2023 is presented

High Trait Shame Undermines the Protective Effects of Prevalence Knowledge on State Shame Following HPV/CIN Diagnosis in Women

Human papillomavirus (HPV), and the related, cervical intraepithelial neoplasia (CIN), are common yet poorly understood physical conditions. The diagnosis of HPV often elicits shame and guilt, which in turn may undermine psychological and physical health. The current study compared shame and guilt responses to diagnosis among two groups: women diagnosed with HPV/CIN and women diagnosed with Epstein–Barr Virus (EBV/IM). Eighty women recently diagnosed with HPV/CIN or EBV/IM completed measures of shame- and guilt-proneness, shame and guilt following diagnosis, and disease knowledge including prevalence estimates (HPV and EBV, respectively). HPV/CIN (vs. EBV/IM) predicted more diagnosis-related shame and guilt. Estimates of high prevalence interacted with diagnosis and shame-proneness to predict diagnosis-related shame. Simple slope analyses indicated that in women with HPV/CIN reporting low-to-average shame-proneness, high prevalence estimates reduced diagnosis-related shame; however, women high in shame-proneness experienced high diagnosis-related shame regardless of more accurate prevalence estimates. Women high in shame-proneness appear to be particularly vulnerable to HPV-related shame even when they are aware that it is very common

Immunomodulatory drugs in sepsis: a systematic review and meta-analysis

\ua9 2024 The Authors. Anaesthesia published by John Wiley & Sons Ltd on behalf of Association of Anaesthetists. Dysregulation of the host immune response has a central role in the pathophysiology of sepsis. There has been much interest in immunomodulatory drugs as potential therapeutic adjuncts in sepsis. We conducted a systematic review and meta-analysis of randomised controlled trials evaluating the safety and clinical effectiveness of immunomodulatory drugs as adjuncts to standard care in the treatment of adults with sepsis. Our primary outcomes were serious adverse events and all-cause mortality. Fifty-six unique, eligible randomised controlled trials were identified, assessing a range of interventions including cytokine inhibitors; anti-inflammatories; immune cell stimulators; platelet pathway inhibitors; and complement inhibitors. At 1-month follow-up, the use of cytokine inhibitors was associated with a decreased risk of serious adverse events, based on 11 studies involving 7138 patients (RR (95%CI) 0.95 (0.90–1.00), I2 = 0%). The only immunomodulatory drugs associated with an increased risk of serious adverse events were toll-like receptor 4 antagonists (RR (95%CI) 1.18 (1.04–1.34), I2 = 0% (two trials, 567 patients)). Based on 18 randomised controlled trials, involving 11,075 patients, cytokine inhibitors reduced 1-month mortality (RR (95%CI) 0.88 (0.78–0.98), I2 = 57%). Mortality reduction was also shown in the subgroup of 13 randomised controlled trials that evaluated anti-tumour necrosis factor α interventions (RR (95%CI) 0.93 (0.87–0.99), I2 = 0%). Anti-inflammatory drugs had the largest apparent effect on mortality at 2 months at any dose (two trials, 228 patients, RR (95%CI) 0.64 (0.51–0.80), I2 = 0%) and at 3 months at any dose (three trials involving 277 patients, RR (95%CI) 0.67 (0.55–0.81), I2 = 0%). These data indicate that, except for toll-like receptor 4 antagonists, there is no evidence of safety concerns for the use of immunomodulatory drugs in sepsis, and they may show some short-term mortality benefit for selected drugs

Inferring Core-Collapse Supernova Physics with Gravitational Waves

Stellar collapse and the subsequent development of a core-collapse supernova explosion emit bursts of gravitational waves (GWs) that might be detected by the advanced generation of laser interferometer gravitational-wave observatories such as Advanced LIGO, Advanced Virgo, and LCGT. GW bursts from core-collapse supernovae encode information on the intricate multi-dimensional dynamics at work at the core of a dying massive star and may provide direct evidence for the yet uncertain mechanism driving supernovae in massive stars. Recent multi-dimensional simulations of core-collapse supernovae exploding via the neutrino, magnetorotational, and acoustic explosion mechanisms have predicted GW signals which have distinct structure in both the time and frequency domains. Motivated by this, we describe a promising method for determining the most likely explosion mechanism underlying a hypothetical GW signal, based on Principal Component Analysis and Bayesian model selection. Using simulated Advanced LIGO noise and assuming a single detector and linear waveform polarization for simplicity, we demonstrate that our method can distinguish magnetorotational explosions throughout the Milky Way (D <~ 10kpc) and explosions driven by the neutrino and acoustic mechanisms to D <~ 2kpc. Furthermore, we show that we can differentiate between models for rotating accretion-induced collapse of massive white dwarfs and models of rotating iron core collapse with high reliability out to several kpc.Comment: 22 pages, 9 figure

Using linkage analysis of large pedigrees to guide association analyses

To date, genome-wide association studies have yielded discoveries of common variants that partly explain familial aggregation of diseases and traits. Researchers are now turning their attention to less common variants because the price of sequencing has dropped drastically. However, because sequencing of the whole genome in large samples is costly, great care must be taken to prioritize which samples and which genomic regions are selected for sequencing. We are interested in identifying genomic regions for deep sequencing using large multiplex families collected as part of earlier linkage studies. We incorporate linkage analysis into our search for Q1-associated alleles. Overall, we found that power was low for both whole-exome and linkage-guided sequencing analysis. By restricting sequencing to regions with high LOD peaks, we found fewer associated single-nucleotide polymorphisms than by using whole-exome sequencing. However, incorporating linkage analysis enabled us to detect more than half of the associated susceptibility loci (52%) that would have been identified by whole-exome sequencing while examining only 2.5% of the exome. This result suggests that incorporating linkage results from large multiplex families might greatly increase the efficiency of sequencing to detect trait-associated alleles in complex disease

Income-tested health entitlements: microsimulation modelling using SILC

The application of microsimulation techniques to tax and welfare policies is well established in many countries, including Ireland. The richness of the data contained in SILC, the CSO’s Survey on Income and Living Conditions, means that similar methods can also be applied to the analysis of policy in some other key areas. Income-tested health entitlements, which include most medical cards and many GP visit cards, are a major feature of the Irish health system. We examine how the income tests for such schemes can be modelled using the detailed income and demographic information in the CSO Survey on Income and Living Conditions. The ESRI’s SWITCH model is extended to apply the rules for income-related cards to each family in this nationally representative sample. A key issue which emerges is the apparently low level of take up among those entitled to GP visit cards. This has implications for the costing of policy changes, such as a shift to Universal Health Insurance (UHI) or widening of the age bands qualifying for non-income tested GP visit cards