Accurate redshift measurements are essential for studying the evolution of quasi-stellar objects (QSOs) and their role in cosmic structure formation. While spectroscopic redshifts provide high precision, they are impractical for the vast number of sources detected in large-scale surveys. Photometric redshifts, derived from broadband fluxes, offer an efficient alternative, particularly when combined with machine learning techniques. In this work, we develop and evaluate a neural network model for predicting the redshifts of QSOs in the Dark Energy Spectroscopic Instrument (DESI) Early Data Release spectroscopic catalogue, using photometry from DESI, the Widefield Infrared Survey Explorer (WISE) and the Galactic Evolution Explorer (GALEX).We compare the performance of the neural network model against a k-Nearest Neighbours approach, these being the most accurate and least resource-intensive of the methods trialled herein, optimising model parameters and assessing accuracy with standard statistical metrics. Our results show that incorporating ultraviolet photometry from GALEX improves photometric redshift estimates, reducing scatter and catastrophic outliers compared to models trained only on near infrared and optical bands. The neural network achieves a correlation coefficient with spectroscopic redshift of 0.9187 with normalised median absolute deviation of 0.197, representing a significant improvement over other methods. Our work combines DESI, WISE and GALEX measurements, providing robust predictions which address the difficulties in predicting photometric redshift of QSOs over a large redshift range.

This article describes the Implementation Science (IS) Scholars Program at the University of Arkansas for Medical Sciences (UAMS). The program’s goal is to translate knowledge, approaches, and methods from IS to front-line clinicians in an academic medical center, thereby supporting its goals as a learning health system and promoting a dynamic workforce of IS-informed change leaders. Initiated in 2020, the program is relatively unique in that it attempts to translate concepts and knowledge from IS to clinicians to improve their skills as implementers and change agents. The program is supported by the Translational Research Institute, the UAMS’ awardee of the Clinical and Translational Science Award Program. The two-year program provides 20% salary coverage, bespoke didactics, and close mentoring on a Scholar-initiated project to improve care in their clinical context. The program has trained four cohorts of Scholars over the program’s initial five years. We describe the program, our evaluation of it thus far, and future plans. The program has contributed to numerous healthcare improvements and served as a gateway to future implementation and other research activities among some Scholars.

Aims: The transfer of care from CAMHS to AMHS is often poorly managed which is distressing for young people and their families. The implications of poor transition include disengagement from services and deterioration in young people’s mental health.

In Devon Partnership NHS Trust (DPT) the transfer of care standard operating procedure (SOP) outlines 8 core standards of transition including clarification of clinical responsibilities, proposed timelines for task completion and documentation requirements. This audit compared DPT patient data against these core standards.

We aimed for 100% compliance between current practice in the transfer of care of patients from CAMHS to AMHS in North Devon and the recommended practice laid out in DPT’s SOP.

Methods: Data was collected via retrospective review of electronic patient notes of 51 young people aged 18–25 years old that presented to North Devon Liaison or Home Treatment Teams between 01/05/2024–01/08/2024.

28 participants (55% of the original cohort) were formerly known to CAMHS. 12 participants (43% of the former CAMHS sub-cohort) underwent transfer of care to AMHS. Data was collected on these 12 participants comparing case notes to SOP transition standards.

Results: There were evident strengths of current transition practices demonstrated by 100% of CAMHS specialist service users at the time of transition securing AMHS input and 57% of those referred for transition were issued a care plan with a defined exit from CAMHS.

Weaker areas included only 14% of young people receiving explanation as to why services could not be offered and only 14% were allocated a doctor with medical responsibility on transfer. There was a disappointing lack of collaboration between services as only 29% had a documented joint meeting between CAMHS and AMHS.

Conclusion: There is certainly room for improvement in current transfer of care practices in DPT. Hopefully this audit generates discussions and reconsideration of current practices to initiate change at which point a re-audit could be conducted. Ultimately it is hoped to improve the level of care for young people at a vulnerable time of change in their care provision between CAMHS and AMHS.

The goal of this study was to unpack processes that may lead to child emotional insecurity. Guided by the emotional security theory (EST/EST-R), we examined the mediational role of parental depressive symptomology between interparental conflict (IPC), both constructive and destructive, and child emotional insecurity at age 36-months. We partitioned unique variance of IPC from shared using an extension of the common fate model. We used two-wave data from the Building Strong Families project, which consisted of racially diverse couples/parents (N = 4,424) who were low income and unmarried at the conception of their child. We found gendered differences for how mothers and fathers experience IPC, with mothers more influenced by their relational circumstances. We also found that fathers were vulnerable to experiencing depressive symptoms following aspects of destructive IPC. Consistent with EST-R, constructive IPC did not promote emotional security in children. Rather, both destructive and constructive IPC related to greater levels of emotional insecurity, with destructive IPC showing stronger effects. Proposed mediation was found for fathers only. Our findings may appeal to scholars who focus on untangling the complexity of IPC and intervention specialists and clinicians interested in a process-oriented approaches to the development of child psychopathology.

The First Large Absorption Survey in H i (FLASH) is a large-area radio survey for neutral hydrogen in and around galaxies in the intermediate redshift range $0.4\lt z\lt1.0$, using the 21-cm H i absorption line as a probe of cold neutral gas. The survey uses the ASKAP radio telescope and will cover 24,000 deg$^2$ of sky over the next five years. FLASH breaks new ground in two ways – it is the first large H i absorption survey to be carried out without any optical preselection of targets, and we use an automated Bayesian line-finding tool to search through large datasets and assign a statistical significance to potential line detections. Two Pilot Surveys, covering around 3000 deg$^2$ of sky, were carried out in 2019-22 to test and verify the strategy for the full FLASH survey. The processed data products from these Pilot Surveys (spectral-line cubes, continuum images, and catalogues) are public and available online. In this paper, we describe the FLASH spectral-line and continuum data products and discuss the quality of the H i spectra and the completeness of our automated line search. Finally, we present a set of 30 new H i absorption lines that were robustly detected in the Pilot Surveys, almost doubling the number of known H i absorption systems at $0.4\lt z\lt1$. The detected lines span a wide range in H i optical depth, including three lines with a peak optical depth $\tau\gt1$, and appear to be a mixture of intervening and associated systems. Interestingly, around two-thirds of the lines found in this untargeted sample are detected against sources with a peaked-spectrum radio continuum, which are only a minor (5–20%) fraction of the overall radio-source population. The detection rate for H i absorption lines in the Pilot Surveys (0.3 to 0.5 lines per 40 deg$^2$ ASKAP field) is a factor of two below the expected value. One possible reason for this is the presence of a range of spectral-line artefacts in the Pilot Survey data that have now been mitigated and are not expected to recur in the full FLASH survey. A future paper in this series will discuss the host galaxies of the H i absorption systems identified here.

Objectives/Goals: The purpose of this study was to explore pharmacists’ and patients’ attitudes, contextual barriers, organizational readiness, and preferences regarding implementation of a mindfulness-based stress reduction (MBSR) program for chronic pain management in the community pharmacy setting in rural Alabama. Methods/Study Population: Pharmacists in independently owned community pharmacies and patients ≥18 treated for chronic pain in the past year in rural Alabama were recruited via purposive and snowball sampling. One-hour virtual semi-structured interviews were conducted by Marketry, a qualitative market research company. Interview questions were guided by the consolidated framework for implementation research (CFIR) and focused on 1) knowledge/awareness; 2) attitudes; 3) barriers/facilitators (e.g., demand, reimbursement); 4) pharmacies’ organizational readiness (e.g., technology, personnel, and culture); and 5) program preferences (content, format) regarding a potential pharmacy-based MBSR program for chronic pain management. Interview transcripts were analyzed using deductive content analysis to identify themes. Results/Anticipated Results: A total of 60 interviews were conducted (n = 30 pharmacists, n = 30 patients). Qualitative data analysis is ongoing and is expected to be completed by December 2024. Interviewee’s responses describing knowledge, attitudes, barriers, facilitators, pharmacies’ organizational readiness, and recommended program elements will be categorized according to the CFIR domains of “inner setting,” “outer setting,” “intervention characteristics,” and “characteristics of individuals.” Domains will be summarized with over-arching themes. Discussion/Significance of Impact: Findings are expected to inform development of a community pharmacy-based MBSR program for chronic pain management. This serves as the first step in building and implementing a sustainable, accessible community pharmacy-based program offering a nonopioid alternative for pain management in the underserved rural Deep South.

Objectives/Goals: This poster discusses key methodological and theoretical issues in translation and implementation for improving HPV vaccine recommendations in clinics serving rural communities. Methods/Study Population: Leveraging implementation science, the study of how to improve the uptake of evidence-based practices, this pilot study uses a mixed-methods effectiveness-implementation design to engage local experts in identifying a bundle of locally-tailored implementation strategies to facilitate uptake of evidence-based HPV vaccine recommendations. In partnership with the University of Arkansas for Medical Sciences Rural Research Network, we will follow an evidence-based quality improvement process to develop locally tailored implementation strategies, which we will then evaluate for acceptability, feasibility, and effectiveness. Results/Anticipated Results: This study aims to generate actionable insights into the design and implementation of tailored, evidence-based communication strategies that can be scaled to improve HPV vaccine uptake in rural communities. Findings from this pilot study will be used to support a future full-scale Hybrid-Type 3 effectiveness-implementation trial to evaluate the bundle of tailored implementation strategies. Discussion/Significance of Impact: By addressing the rural-specific determinants of evidence-based HPV vaccine recommendations, this research will contribute to a deeper understanding of how to support high-quality, evidence-based provider recommendations in rural, underserved communities, and will mitigate rural disparities in HPV-related cancers.

Three fish blood flukes (Aporocotylidae Odhner, 1912) infect mullets (Mugiliformes: Mugilidae): Cardicola mugilis Yamaguti, 1970 and Plethorchis acanthus Martin, 1975 infect striped mullet, Mugil cephalus Linnaeus, 1758 in the Central Pacific Ocean (Hawaiian Islands) and Brisbane River (Australia), respectively; Cardicola brasiliensis Knoff & Amato, 1992 infects Lebranche mullet, Mugil liza Valenciennes, 1836 from the Southwestern Atlantic Ocean (Brazil). White mullets were cast-netted from the mouth of Deer River, a coastal saltmarsh of Mobile Bay, in the north-central Gulf of Mexico and examined for blood fluke infections. Specimens of Mugilitrema labowskiae Warren & Bullard n. gen., n. sp. were found infecting the endocardial surface and inter-trabecular spaces of the atrium, ventricle, and bulbous arteriosus. The new genus and species differ from all other aporocotylids by having the combination of two post-caecal testes, a uterus with straight ascending and descending portions, and a common genital pore. The 28S analysis recovered the new species and P. acanthus as sister taxa and Aporocotylidae as monophyletic. Carditis associated with intense infections comprised endocardial hyperplasia, resulting in a thickened cardiac endothelium. Probable dead or deteriorating eggs in the myocardium were encapsulated by granulomas composed of epithelioid histiocytes. Live eggs infected the afferent artery of gill filaments and were associated with varied hyperplasia of the overlying epithelium and haemorrhaging from the afferent artery in high-intensity infections. The new species is the first aporocotylid infecting a mullet from the northwestern Atlantic Ocean and only the second description of demonstrable endocarditis attributed to an adult fish blood fluke infection.

Background: Pediatric urinary tract infections represent the most common pediatric infection with increasing gram-negative antibiotic resistance. Overutilization of antimicrobials including third generation cephalosporins are known drivers of this resistance. Antimicrobial stewardship (AS) efforts have recently shown that antibiotic selection may be influenced by patient race. Implementation science (IS) can provide frameworks and strategies to improve antimicrobial utilization and equity. Methods: This was a pre/post study of 2 geographically different children’s hospitals general pediatric floors assessing the impact of a set of implementation strategies developed to improve provider knowledge of best practice antimicrobials (based on local susceptibilities for treatment of UTI’s) and influence uptake of best practice prescribing. IS strategies included provider education, local clinical champion and opinion leader involvement, leadership involvement, local policy changes, and stakeholder co-design of decision support tools (a clinical pathway, a specific ITI antibiogram, and a dynamic order set). No education was provided regarding racial differences in prescribing habits. Outcomes were measured utilizing a portion of the RE-AIM Framework of assessing adoption of “Right” antibiotic, order set adoption, and equitable reach (racial differences in prescribing). Results: Hospital A and B had a first-generation cephalosporin prescription rate of 29.7% (n=441) and 20.6% (n-557) pre implementation and 44.6% (n=84) and 47.5% (n=118) post (p < 0 .001). Both hospitals also saw a significant reduction in third-generation cephalosporins. In Hospital A, APRN’s were more likely to prescribe a first generation cephalosporin (52.4%) than a DO (42.1%) or MD (26.4%) pre-implementation (p=0.004). In Hospital B, APRN’s were less likely to prescribe first generation cephalosporins (5.4%) than a DO (28.9%) or MD (19.4%) pre-implementation (p=0.004). No statistical significance was seen post implementation for antimicrobial selection by provider type for either hospital. Based on race, both hospitals had Black and Other patients receiving more first-generation cephalosporins while white patients were more likely to receive third-generation cephalosporins (p=0.033) pre implementation. No statistical significance was seen post implementation for antimicrobial selection based on race. No improvement was seen in order set utilization. Conclusion: With order set utilization not improving with implementation of new dynamic order set, other strategies such as education, clinical champion and opinion leader involvement, and provision of a local UTI antibiogram were likely contributors to the improvement in best antimicrobial for treatment of UTI’s. Further mixed method research is warranted to improve understanding of the relative performance of our strategies, especially the lack of provider adoption of the novel dynamic order set.

Disclosure: Jessica Snowden: Advisory board - Pfizer