Preventing and treating mental health and substance use problems requires effective, affordable, scalable, and efficient interventions. The multiphase optimization strategy (MOST) framework guides researchers through a phased and systematic process of developing optimized interventions. However, new methods of systematically incorporating information about implementation constraints across MOST phases are needed. We propose that early and sustained integration of community-engaged methods within MOST is a promising strategy for enhancing an optimized intervention\'s potential for implementation. In this article, we outline the advantages of using community-engaged methods throughout the intervention optimization process, with a focus on the Preparation and Optimization Phases of MOST. We discuss the role of experimental designs in optimization research and highlight potential challenges in conducting rigorous experiments in community settings. We then demonstrate how relying on the resource management principle to select experimental designs across MOST phases is a promising strategy for maintaining both experimental rigor and community responsiveness. We end with an applied example illustrating a community-engaged approach to optimize an intervention to reduce the risk for mental health problems and substance use problems among children with incarcerated parents.
Strategies for Engaging Communities and Ensuring Research Quality in the Multiphase Optimization Strategy Plain Language Summary What is already known about the topic? Interventions must be effective, affordable, scalable, and efficient to be successfully implemented and achieve maximum public health impact. The multiphase optimization strategy is a strategic and phased approach to developing optimized interventions. Community-engaged research has been used to bolster an intervention\'s potential for implementation.What does this paper add? The article guides researchers who are employing community-engaged research methods to systematically conduct activities in different phases of the intervention optimization process. The end goal is to create an optimized intervention ready for successful implementation in its intended delivery setting.What are the implications for practice, research, or policy? Incorporating input from key stakeholders in every phase of the intervention optimization process can enhance the public health impact of community-based interventions for mental health and substance use problems.

Underground pipelines serve as critical infrastructure for gas transmission, strategically buried for safety, environmental, and economic considerations. Despite their importance, operational challenges and external interferences can lead to underground gas leaks with potentially catastrophic consequences for both human safety and the environment. The presence of a protective soil bed introduces complexities in understanding subsurface transport phenomena and quantifying gas releases accurately. Herein, this review presents a systematic analysis of published research in the field of underground gas releases, with an emphasis on interdisciplinary approaches that connect the lithosphere and atmosphere. The analysis highlights the broad spectrum of employed methods, including theoretical models based on fundamental principles, empirical formulations derived from experimental data, and sophisticated computational tools. A clear fundamental understanding and computational analysis, and to a lesser extent experimental, have been established to describe the migration regime. In contrast, more empirical research has addressed the crater formation regime, though focus was given to the far-field modelling following the soil ejection rather than the transient phenomena leading to the formation of the crater. Additionally, this review touches upon practical and conceptual topics, such as detection and localization techniques, and flow regimes in other gaseous flows through soil and powder beds, putting into question the applicability of some presumed granulated concepts to the flowing behavior expected beyond migration. The research landscape predominantly focuses on investigating the influence of release parameters on the release phenomena only from the atmospheric or soil domain perspective. This work provides insights that aim to first transcend both domains and then bridge the three distinct flow regimes-migration, uplift, and crater formation-despite the limited acknowledgment of the necessity of addressing all regimes concurrently through a universal approach. This review serves as a valuable resource for engineers to develop innovative solutions for the management of risks associated with underground gas leaks.

Shared governance is a concept that has been gaining popularity in the nursing field. It is a framework that allows nurses to have a greater role in clinical decision-making. This approach recognizes the expertise and knowledge that nurses possess and allows them to be active participants in the decision-making process. It is a way to empower nurses and to ensure that the best possible care is being provided to patients. By promoting shared governance, nurses are able to work collaboratively with other healthcare professionals and provide high-quality care that is evidence-based and patient-centered. This article presents data that was collected in an empirical study to investigate the impact of implementing a shared governance model on the perceptions of professional governance among nurses working in a tertiary hospital in Saudi Arabia by measuring the level of shared governance from the lowest level, the traditional governance level (management and administration only), to the highest level, the self-governance level (staff only), through six dimensions of nursing professional governance, including personnel, information, resources, participation, practice, and goals. The study was conducted over 8 months between July 2022 to February 2023 with the involvement of a random sample of 200 clinical nurses who completed a structured questionnaire before and after the study interventions as part of quasi-research. The interventions included designing and implementing a shared governance model, and providing a shared governance training to clinical to nurse participants. The pretest-posttest experimental group showed that there were improvements in the level of shared governance (shared governance level - primarily management/administration with some staff input), which denotes the effectiveness of nursing professionals governance training among nurses working in a tertiary hospital in Saudi Arabia. The data used in this study can be utilized by future studies for benchmarking purposes.

Depersonalisation-derealisation disorder (DDD) is characterised by distressing experiences of separation from oneself and/or one\'s surroundings, potentially resulting from alterations in affective, cognitive, and physiological functions. This systematic review aimed to synthesise current experimental evidence of relevance to proposed mechanisms underlying DDD, to appraise existing theoretical models, and to inform future research and theoretical developments. Studies were included if they tested explicit hypotheses in DDD samples, with experimental manipulations of at least one independent variable, alongside behavioural, subjective, neurological, affective and/or physiological dependent variables. Some evidence for diminished subjective responsivity to aversive images and sounds, and hyperactivation in neurocircuits associated with emotional regulation when viewing aversive images emerged, corroborating neurobiological models of DDD. Inconsistencies were present regarding behavioural and autonomic responsivity to facial expressions, emotional memory, and self-referential processing. Common confounds included small sample sizes, medication, and comorbidities. Alterations in affective reactivity and regulation appear to be present in DDD; however, further research employing more rigorous research designs is required to provide stronger evidence for these possible mechanisms.

OBJECTIVE: People with psychosis delay accessing recommended treatments, resulting in poor healthcare outcomes and increased risk of relapse. Means of improving help-seeking and help-acceptance could reduce duration of untreated psychosis (DUP). This study examined the role of attachment style in help-seeking and help-acceptance in psychosis.
METHODS: We used an experimental design to test the effect of attachment imagery priming on help-seeking and help-acceptance intentions, in a sample with self-reported psychosis. The independent variables were attachment imagery condition (secure vs. avoidant) and time (pre- vs. post-prime). The dependent variables were state paranoia, help-seeking intentions and help-acceptance intentions.
METHODS: We used an online research platform to recruit people with psychosis (n = 61). Participants were randomly allocated to the secure or avoidant attachment priming condition. All completed measures of state paranoia, help-seeking, and help-acceptance, before and after priming.
RESULTS: In comparison with the avoidant condition, secure attachment imagery resulted in reduced paranoia and increased help-seeking and acceptance intentions, all with large effect sizes.
CONCLUSIONS: This is the first study to use an experimental design to assess the role of attachment style in help-seeking and help-acceptance in a clinical sample. Attachment style is causally linked to behavioural intentions that contribute to DUP. Clinicians should assess attachment and help-seeking and acceptance, highlight these in formulation, and prioritise in treatment planning. Interventions that enhance help-seeking and acceptance could improve access to recommended treatments and reduce DUP.

Secret key exchange relies on the creation of correlated signals, serving as the raw resource for secure communication. Thermal states exhibit Hanbury Brown and Twiss correlations, which offer a promising avenue for generating such signals. In this paper, we present an experimental implementation of a central broadcast thermal-state quantum key distribution (QKD) protocol in the microwave region. Our objective is to showcase a straightforward method of QKD utilizing readily available broadcasting equipment. Unlike conventional approaches to thermal-state QKD, we leverage displaced thermal states. These states enable us to share the output of a thermal source among Alice, Bob, and Eve via both waveguide channels and free space. Through measurement and conversion into bit strings, our protocol produces key-ready bit strings without the need for specialized equipment. By harnessing the inherent noise in thermal broadcasts, our setup facilitates the recovery of distinct bit strings by all parties involved.

Streptococcus suis is a swine bacterial pathogen that predominantly causes disease in weaned piglets characterized by swelling of joints, arthritis, septicemia, meningitis, and sudden death. Intravenous, intramuscular, intraperitoneal, and intranasal infection models were developed to study the bacterial pathogenicity and efficacy of vaccines and various therapeutics. The selection of the appropriate infection model is a critical step in any study, as it may impact the outcomes of the study. Here we describe a method for infecting weaned piglets with S. suis using intraperitoneal route as a reliable, consistent, and reproducible animal model to evaluate vaccine protection against systemic bacterial infection.

In principle, after all manufacturing processes are performed, a set of residual stresses occur in the product that have their particular distribution given the manufacturing process performed. The residual stresses must be removed to achieve the desired dimensional accuracy and quality. Among stress-relieving processes performed for a piece following the manufacturing process, we can refer to thermal and vibratory stress relief (VSR). Both methods perform the same function as they enter a part or all of a piece into the plastic phase, causing a fracture of residual stresses to be released with local plastic deformations. The process is as follows: The stress induced by thermal or vibratory loads is added to the residual stresses and exceeds the yield stress. This research, which is focused on VSR, aims to evaluate the effect of the main parameters of the VSR method, including load amplitude or amount, load application frequency, and cycle numbers. The general trend of the problem is that the VSR process is performed for a piece with residual stress, and the effect of the abovementioned parameters on reducing its residual stresses is evaluated.

BACKGROUND: The rise of digital health services, particularly digital doctor consultations, has created a new paradigm in health care choice. While patients traditionally rely on digital reviews or referrals to select health care providers, the digital context often lacks such information, leading to reliance on visual cues such as profile pictures. Previous research has explored the impact of physical attractiveness in general service settings but is scant in the context of digital health care.
OBJECTIVE: This study aims to fill the research gap by investigating how a health care provider\'s physical attractiveness influences patient preferences in a digital consultation setting. We also examine the moderating effects of disease severity and the availability of information on health care providers\' qualifications. The study uses signal theory and the sexual attribution bias framework to understand these dynamics.
METHODS: Three experimental studies were conducted to examine the influence of health care providers\' physical attractiveness and gender on patient preferences in digital consultations. Study 1 (n=282) used a 2×2 between-subjects factorial design, manipulating doctor attractiveness and gender. Study 2 (n=158) focused on women doctors and manipulated disease severity and participant gender. Study 3 (n=150) replicated study 2 but added information about the providers\' abilities.
RESULTS: This research found that patients tend to choose attractive doctors of the opposite gender but are less likely to choose attractive doctors of the same gender. In addition, our studies revealed that such an effect is more prominent when the disease severity is high. Furthermore, the influence of gender stereotypes is mitigated in both the high and low disease severity conditions when service providers\' qualification information is present.
CONCLUSIONS: This research contributes to the literature on medical information systems research and sheds light on what information should be displayed on digital doctor consultation platforms. To counteract stereotype-based attractiveness biases, health care platforms should consider providing comprehensive qualification information alongside profile pictures.

Gene discovery reveals new biology, expands the utility of marker-assisted selection, and enables targeted mutagenesis. Still, such discoveries can take over a decade. We present a general strategy, \"Agile Genetics,\" that uses nested, structured populations to overcome common limits on gene resolution. Extensive simulation work on realistic genetic architectures shows that, at population sizes of >5000 samples, single gene-resolution can be achieved using bulk segregant pools. At this scale, read depth and technical replication become major drivers of resolution. Emerging enrichment methods to address coverage are on the horizon; we describe one possibility - iterative depth sequencing (ID-seq). In addition, graph-based pangenomics in experimental populations will continue to maximize accuracy and improve interpretation. Based on this merger of agronomic scale with molecular and bioinformatic innovation, we predict a new age of rapid gene discovery.