Herbaceous perennials must annually rebuild the aboveground photosynthetic architecture from carbohydrates stored in crowns, rhizomes, and roots. Knowledge of carbohydrate utilization and storage can inform management decisions and improve control outcomes for invasive perennials. We monitored the nonstructural carbohydrates in a population of the hybrid Bohemian knotweed [Polygonum ×bohemicum (J. Chrtek & Chrtková) Zika & Jacobson [cuspidatum × sachalinense]; syn.: Fallopia ×bohemica (Chrtek and Chrtková) J.P. Bailey] and in Japanese knotweed [Polygonum cuspidatum Siebold & Zucc.; syn.: Fallopia japonica (Houtt.) Ronse Decr.]. Carbohydrate storage in crowns followed seasonal patterns typical of perennial herbaceous dicots corresponding to key phenological events. Starch was consistently the highest nonstructural carbohydrate present. Sucrose levels did not show a consistent inverse relationship with starch levels. Lateral distribution of starch in rhizomes and, more broadly, total nonstructural carbohydrates sampled before dormancy break showed higher levels in rhizomes compared with crowns. Total nonstructural carbohydrate levels in crowns reached seasonal lows at an estimated 22.6% of crown dry weight after accumulating 1,453.8 growing degree days (GDD) by the end of June, mainly due to depleted levels of stored starch, with the estimated minimum of 12.3% reached by 1,220.3 GDD accumulated by mid-June. Depletion corresponded to rapid development of vegetative canopy before entering the reproductive phase in August. Maximum starch accumulation in crowns followed complete senescence of aboveground tissues by mid- to late October. Removal of aboveground shoot biomass in late June to early July with removal of vegetation regrowth in early September before senescence would optimize the use of time and labor to deplete carbohydrate reserves. Additionally, foliar-applied systemic herbicide translocation to belowground tissue should be maximized with applications in late August through early fall to optimize downward translocation with assimilate movement to rebuild underground storage reserves. Fall applications should be made before loss of healthy leaf tissue, with the window for control typically ending by late September in Minnesota.

We present a new radio detection from the Australian Square Kilometre Array Pathfinder Evolutionary Map of the Universe (EMU) survey associated with the Reflection Nebula (RN) VdB-80. The radio detection is determined to be a previously unidentified Hii region, now named Lagotis. The RN is located towards Monoceros, centred in the molecular cloud feature known as the ‘Crossbones’. The 944 MHz EMU image shows a roughly semicircular Hii region with an integrated flux density of 30.2$\pm$0.3 mJy. The Hii region is also seen at 1.4 GHz by NRAO VLA Sky Survey (NVSS), yielding an estimated spectral index of 0.65$\pm$0.51, consistent with thermal radio emission. Gaia Data Release 3 (DR3) and Two Micron All Sky Survey (2MASS) data give a distance to the stars associated with the Hii region of $\sim$960 pc. This implies a size of 0.76$\times$0.68($\pm$0.09) pc for the Hii region. We derive an Hii region electron density of the bright radio feature to be 26 cm$^{-3}$, requiring a Lyman-alpha photon flux of $10^{45.6}$ s$^{-1}$, which is consistent with the expected Lyman flux of HD 46060, the B2 ii type star which is the likely ionising star of the region. The derived distance to this region implies that the Crossbones feature is a superposition of two filamentary clouds, with Lagotis embedded in the far cloud.

Changes in executive function (EF) occur during adolescence with several factors (e.g., parenting styles, socioeconomic status) influencing the development of EF abilities. These changes are important as EF has been strongly linked with a range of outcomes including academic achievement, job performance, and social–emotional well-being. However, few studies have examined variability in EF trajectories during this critical developmental period, or trajectories in samples known to have specific impairments with EF, such as adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD). The present study examined differential trajectories of three domains of parent-rated EF in 302 adolescents (167 males; Mage = 13.17 years) with and without ADHD (53.6% with ADHD) from grade 8 to 10. The study also explored whether adolescent ADHD, parent ADHD, and parents’ own EF predicted EF trajectories in addition to the longitudinal relation between trajectories and academic outcomes. Findings suggest that adolescence is marked by significant variability in EF development due to factors such as ADHD status, parent ADHD, and parent EF ability. Additionally, adolescents who displayed poor EF abilities throughout middle and high school had significantly lower grade point averages and poorer parent-, teacher-, and self-reported academic outcomes. Implications for interventions targeting EF deficits among adolescents with and without ADHD are discussed.

Current research is focusing on integrated longitudinal assessment of animal welfare at farm-level. Housing and management systems may influence pain, discomfort, fear, hunger and abnormal behaviour of farm animals. Poor health records and increased levels of haptoglobin have been shown to correlate with an unfavourable environment but, as yet, few data are available regarding variation between individual animals. Hence, a project was carried out using 78 pig farms (farrow-to-finish), 19-20 in each season, with data on housing and management being collected during visits. At slaughter, pathological findings and blood samples were taken from 60 pigs from each farm. Blood samples were analysed for Lawsonia intracellularis (PIA), Mycoplasma hyopneumoniae, salmonella, and haptoglobin values (HAP) (10 samples). Data were analysed with descriptive statistics and analysis of variance. Housing and management characteristics were considered separately and integrated according to Berns (1996). Pigs from higher-ranking farms (ie those scoring higher for housing [space score] and management [sanitary barriers, cleaning, disinfection, climatic control, breeding protocol]) showed lower HAP levels (P < 0.04), with lower within-farm variability (P < 0.06). HAP levels were higher in pigs infected with PIA (P < 0.04) or having lung lesions (P < 0.02). A negative correlation was found between fasting before transport and lung lesions, HAP levels being lower when pigs with lung lesions were fasted. Haptoglobin sampling in the slaughterline is, therefore, relevant for integrative welfare assessment of slaughter pigs at individual level and for longitudinal monitoring at farm level.

Potential flow has many applications, including the modelling of unsteady flows in aerodynamics. For these models to work efficiently, it is best to avoid Biot–Savart interactions. This work presents a grid-based treatment of potential flows in two dimensions and its use in a vortex model for simulating unsteady aerodynamic flows. For flows consisting of vortex elements, the treatment follows the vortex-in-cell approach and solves the streamfunction–vorticity Poisson equation on a Cartesian grid after transferring the circulation from the vortices onto the grid. For sources and sinks, an analogous approach can be followed using the scalar potential. The combined velocity field due to vortices, sinks and sources can then be obtained using the Helmholtz decomposition. In this work, we use several key tools that ensure the approach works on arbitrary geometries, with and without sharp edges. First, the immersed boundary projection method is used to account for bodies in the flow and the resulting body-forcing Lagrange multiplier is identified as the bound vortex sheet strength. Second, sharp edges are treated by decomposing the vortex sheet strength into a singular and non-singular part. To enforce the Kutta condition, the non-singular part can then be constrained to remove the singularity introduced by the sharp edge. These constraints and the Poisson equation are formulated as a saddle-point system and solved using the Schur complement method. The lattice Green's function is used to efficiently solve the discrete Poisson equation with unbounded boundary conditions. The method and its accuracy are demonstrated for several problems.

Background. This study examined how cognitive and affective constructs related to an acute health event predict smoking relapse following an acute cardiac health event. Methods. Participants were recruited from emergency departments and completed cognitive and emotional measures at enrollment and ecological momentary assessments (EMA) for 84 days postvisit. Results. Of 394 participants, only 35 (8.9%) remained abstinent 84 days postvisit. Time to relapse was positively associated with age, actual illness severity, self-efficacy, and quit intentions. Conclusions. Older, seriously ill patients with strong confidence and intentions to quit smoking remain abstinent longer after discharge, but most still relapse within three months.

ABSTRACT IMPACT: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. OBJECTIVES/GOALS: Opioid overdoses often occur in hotspots identified by geographic and temporal trends. This study uses principles of community engaged research to identify neighborhood and community-level factors associated with opioid overdose within overdose hotspots which can be targets for novel intervention design. METHODS/STUDY POPULATION: We conducted an environmental scan in three overdose hotspots’‘ two in an urban center and one in a small city’‘ identified by the Rhode Island Department of Health as having the highest opioid overdose burden in Rhode Island. We engaged hotspot community stakeholders to identify neighborhood factors to map within each hotspot. Locations of addiction treatment, public transportation, harm reduction programs, public facilities (i.e., libraries, parks), first responders, and social services agencies were converted to latitude and longitude and mapped in ArcGIS. Using Esri Service Areas, we will evaluate the service areas of stationary services. We will overlay overdose events and use logistic regression identify neighborhood factors associated with overdose by comparing hotspot and non-hotspot neighborhoods. RESULTS/ANTICIPATED RESULTS: We anticipate that there will be differing neighborhood characteristics associated with overdose events in the densely populated urban area and those in the smaller city. The urban area hotspots will have overlapping social services, addiction treatment, and transportation service areas, while the small city will have fewer community resources without overlapping service areas and reduced public transportation access. We anticipate that overdoses will occur during times of the day when services are not available. Overall, overdose hotspots will be associated with increased census block level unemployment, homelessness, vacant housing, and low food security. DISCUSSION/SIGNIFICANCE OF FINDINGS: Identifying factors associated with opioid overdoses will enable better resource allocation in communities most impacted by the overdose epidemic. Study results will be used for novel intervention design to prevent opioid overdose deaths in communities with high burden of opioid overdose.

Background: Infection prevention and control (IPC) workflows are often retrospective and manual. New tools, however, have entered the field to facilitate rapid prospective monitoring of infections in hospitals. Although artificial intelligence (AI)–enabled platforms facilitate timely, on-demand integration of clinical data feeds with pathogen whole-genome sequencing (WGS), a standardized workflow to fully harness the power of such tools is lacking. We report a novel, evidence-based workflow that promotes quicker infection surveillance via AI-assisted clinical and WGS data analysis. The algorithm suggests clusters based on a combination of similar minimum inhibitory concentration (MIC) data, timing of sample collection, and shared location stays between patients. It helps to proactively guide IPC professionals during investigation of infectious outbreaks and surveillance of multidrug-resistant organisms and healthcare-acquired infections. Methods: Our team established a 1-year workgroup comprised of IPC practitioners, clinical experts, and scientists in the field. We held weekly roundtables to study lessons learned in an ongoing surveillance effort at a tertiary care hospital—utilizing Philips IntelliSpace Epidemiology (ISEpi), an AI-powered system—to understand how such a tool can enhance practice. Based on real-time case discussions and evidence from the literature, a workflow guidance tool and checklist were codified. Results: In our workflow, data-informed clusters posed by ISEpi underwent triage and expert follow-up analysis to assess: (1) likelihood of transmission(s); (2) potential vector(s) identity; (3) need to request WGS; and (4) intervention(s) to be pursued, if warranted. In a representative sample (spanning October 17, 2019, to November 7, 2019) of 67 total isolates suggested for inclusion in 19 unique cluster investigations, we determined that 9 investigations merited follow-up. Collectively, these 9 investigations involved 21 patients and required 115 minutes to review in ISEpi and an additional 70 minutes of review outside of ISEpi. After review, 6 investigations were deemed unlikely to represent a transmission; the other 3 had potential to represent transmission for which interventions would be performed. Conclusions: This study offers an important framework for adaptation of existing infection control workflow strategies to leverage the utility of rapidly integrated clinical and WGS data. This workflow can also facilitate time-sensitive decisions regarding sequencing of specific pathogens given the preponderance of available clinical data supporting investigations. In this regard, our work sets a new standard of practice: precision infection prevention (PIP). Ongoing effort is aimed at development of AI-powered capabilities for enterprise-level quality and safety improvement initiatives.

Funding: Philips Healthcare provided support for this study.

Disclosures: Alan Doty and Juan Jose Carmona report salary from Philips Healthcare.

We investigated whether the type of antipsychotic treatment has an impact on patients’ subjective quality of life (QoL).

In a prospective naturalistic long-term study, 374 patients meeting ICD-10 criteria for schizophrenia or schizoaffective disorder were examined biannually over a two-year period with regards to QoL, psychopathology, social functioning, use of medical and psychosocial services, compliance, side effects and current neuroleptic treatment. QoL was assessed by the Berliner Lebensqualitätsprofil (BeLP), an adaption of the Lancashire Quality of Life Profile. First examination took place two weeks around discharge from a psychiatric clinic. At study entry, all participants were receiving neuroleptic medication of either quetiapine, risperidone or olanzapine. Mixed regression analysis taking into account the unbalanced panel structure of the data and adjusted for selection bias by means of propensity scores were used for data analysis.

Overall quality of life improved continuously during the two years observed period regardless of the type of neuroleptic. A small, but significant difference emerged when comparing quetiapine monotherapy treatment with olanzapine monotherapy or with a combination treatment of conventional and atypical antipsychotics. QoL of patients treated with olanzapine was generally worse than that of patients treated with quetiapine but improved slightly more over the course of time. In total time and type of medication explained only small proportions of variance in QoL.

Type of neuroleptic had only marginal impact on the subjective QoL of our sample. In order to explain changes in quality of life, research on social and individual factors seems to be more promising.

Stigma against mental illness and the mentally ill is well known. However, stigma against psychiatrists and mental health professionals is known but not discussed widely. Public attitudes and also those of other professionals affect recruitment into psychiatry and mental health services. The reasons for this discriminatory attitude are many and often not dissimilar to those held against mentally ill individuals. In this Guidance paper we present some of the factors affecting the image of psychiatry and psychiatrists which is perceived by the public at large. We look at the portrayal of psychiatry, psychiatrists in the media and literature which may affect attitudes. We also explore potential causes and explanations and propose some strategies in dealing with negative attitudes. Reduction in negative attitudes will improve recruitment and retention in psychiatry. We recommend that national psychiatric societies and other stakeholders, including patients, their families and carers, have a major and significant role to play in dealing with stigma, discrimination and prejudice against psychiatry and psychiatrists.

There are significant differences in psychiatric training across Europe. In the light of the current direction of Europe (without borders with free movement of workforce) it is inevitable to harmonize at least basic standards of psychiatric education across Europe. Ideally by working in partnership with relevant national and international bodies (European Union of Medical Specialists, Board of Psychiatry - UEMS, European Psychiatric Association - EPA and European Federation of Psychiatric Trainees - EFPT). A qualitative data analysis on the most important challenges of psychiatric trainees across Europe, carried out by the EFPT in 2009, revealed several interesting findings which might be of interest not only for trainees, but for all involved in the process of psychiatric education. As the most important issue trainees reported the imperfect structure of the training programs and problems with implementation of new ones. That is why new training programs based on a competency based framework are being developed lately in number of countries (e.g. United Kingdom, Ireland, Netherlands). However, not only the structure of the training and its implementation remains an issue, trainees are concerned also with topics related to working conditions, insufficient training opportunities, lack of supervision, funding and availability of psychotherapy courses, etc. Based on these findings EFPT will undertake specific actions which in cooperation with other organizations shall lead in the future to better postgraduate training opportunities in Europe.