Monitoring the data sources for possible changes is an important consumption requirement for applications running in interaction with the Web of Data. In this article, MonARCh which is an architecture for monitoring the result changes of registered SPARQL queries in the Linked Data environment, is proposed. MonARCh can be comprehended as a publish/subscribe system in the general sense. However, it differs in how communication with the data sources is realized. Data sources in the Linked Data environment do not publish the changes in the data. MonARCh provides the necessary communication infrastructure between the data sources and the consumers for the notification of changes. Users subscribe SPARQL queries to the system which are then converted to federated queries. MonARCh periodically checks for updates by re-executing SERVICE clauses and notifying users in case of any result change. In addition, to provide scalability, MonARCh takes the advantage of concurrent computation of the actor model. The parallel join algorithm utilized speeds up query execution and result generation processes. The design science methodology is used during the design, implementation and evaluation of the architecture. When compared to the literature MonARCh meets all the sufficient requirements from the linked data monitoring and state of the art perspectives while having many outstanding features from both points of view. The evaluation results show that even while working under the limited two-node cluster setting MonARCh could reach from 300 to 25,000 query monitoring capacity according to the diverse query selectivities executed within our test bench.

The recent FDA approval of several adeno-associated virus (AAV)-based gene therapies is driving demand for AAV production. One of the biggest AAV manufacturing challenges is removing \"empty\" capsids, which do not contain the gene of interest. Anion exchange chromatography has emerged as the leading solution for scalable full capsid enrichment. Here we develop a process for the baseline separation of empty and full AAV capsids using anion exchange membrane chromatography. This process development approach utilized AAV serotypes 8 and 9 and traverses initial screening of separation conditions up to manufacturing-scale processes. Process development of a two-step elution was performed via response surface DoE, exploring conductivity and the length of the first elution step. The results from response surfaces were used to construct statistical models of the process operating space. These models provide optimal conditions for recovery and purity, both of which can exceed 70 %. Model predictions were then validated at small scale prior to scale-up. We present the results from our scale-up purification and show that purity and yield are consistent with the results obtained from the response surface model.

BACKGROUND: Mental disorders pose a major public health problem in most western countries. The demand for services for common mental health disorders has been on the rise despite the widespread accessibility of medication. Especially, the supply and demand for evidence-based psychotherapy do not align. Large-scale increase of modern psychotherapy is difficult with current methods of training which are often expensive, time consuming, and dependent on a small number of top-level professionals as trainers. E-learning has been proposed to enhance psychotherapy training accessibility, quality, and scalability.
OBJECTIVE: This systematic review aims to provide an overview of the current evidence regarding e-learning in psychotherapy training. In particular, the review examines the usability, acceptability, and learning outcomes associated with e-learning. Learning outcomes are assessed in different modalities including trainee experiences, knowledge acquisition, skill acquisition, and application of trained content in daily practice. Furthermore, the equivalence of web-based training and conventional training methods is evaluated.
METHODS: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a search from Ovid, MEDLINE, PsycINFO, and Scopus databases between 2008 and June 2022 was conducted. Inclusion criteria required studies to describe e-learning systems for psychotherapy training and assess acceptability, feasibility, or learning outcomes. The risk of bias was evaluated for both randomized and nonrandomized studies. Learning outcomes were categorized using the Kirkpatrick model. Effect sizes comparing e-learning and traditional methods were calculated.
RESULTS: The search yielded 3380 publications, of which 34 fulfilled the inclusion criteria. Positive learning outcomes are generally associated with various e-learning programs in psychotherapy training including trainee satisfaction, knowledge, and skill acquisition, and in application of trained content in clinical practice. Learning outcomes generally show equivalence between e-learning and conventional training methods. The overall effect size, indicating this disparity, was 0.01, suggesting no significant difference. This literature displays a high level of heterogeneity in e-learning solutions and assessment methods.
CONCLUSIONS: e-Learning seems to have good potential to enhance psychotherapy training by increasing access, scalability, and cost-effectiveness while maintaining quality in terms of learning outcomes. Results are congruent with findings related to e-learning in health education in general where e-learning as a pedagogy is linked to an opportunity to carry out learner-centric practices. Recommendations for conducting psychotherapy training programs in blended settings supported by activating learning methods are presented. However, due to the heterogeneity and limitations in the existing literature, further research is necessary to replicate these findings and to establish global standards for e-learning, as well as for the assessment of training outcomes in psychotherapy education. Research is especially needed on the effects of training on patient outcomes and optimal ways to combine e-learning and conventional training methods in blended learning settings.

Laser-inscribed graphene (LIG) is an emerging material for micro-electronic applications and is being used to develop supercapacitors, soft actuators, triboelectric generators, and sensors. The fabrication technique is simple, yet the batch-to-batch variation of LIG quality is not well documented in the literature. In this study, we conduct experiments to characterize batch-to-batch variation in the manufacturing of LIG electrodes for applications in electrochemical sensing. Numerous batches of 36 LIG electrodes were synthesized using a CO2 laser system on polyimide film. The LIG material was characterized using goniometry, stereomicroscopy, open circuit potentiometry, and cyclic voltammetry. Hydrophobicity and electrochemical screening (cyclic voltammetry) indicate that LIG electrode batch-to-batch variation is less than 5% when using a commercial reference and counter electrode. Metallization of LIG led to a significant increase in peak current and specific capacitance (area between anodic/cathodic curve). However, batch-to-batch variation increased to approximately 30%. Two different platinum electrodeposition techniques were studied, including galvanostatic and frequency-modulated electrodeposition. The study shows that formation of metallized LIG electrodes with high specific capacitance and peak current may come at the expense of high batch variability. This design tradeoff has not been discussed in the literature and is an important consideration if scaling sensor designs for mass use is desired. This study provides important insight into the variation of LIG material properties for scalable development of LIG sensors. Additional studies are needed to understand the underlying mechanism(s) of this variability so that strategies to improve the repeatability may be developed for improving quality control. The dataset from this study is available via an open access repository.

Rearing scale may influence black soldier fly (BSF) larvae traits when they are fed on a single diet, but different feeding substrates have not been tested yet. This study evaluated the effects of wheat starch processing by-products-based diets on growth performance, bioconversion efficiency, and nutritional profile of BSF larvae reared in different scales. Four diets (D1 and D2 [isonitrogenous, isolipidic and isoenergetic]; D3 and D4 [displaying 1:1 and 1:2 as protein to carbohydrate ratios, respectively]) were tested at 3 rearing scales (4 replicate boxes/diet, with a constant volume [0.84 cm3]/larva and feed [0.7 g]/larva): 1) small (S; 12 × 12 cm, substrate height: 4 cm, 686 6-day-old larvae (6-DOL)/box), 2) medium (M, 32 × 21 cm, substrate height: 7 cm, 5 600 6-DOL/box), and 3) large (L, 60 × 40 cm, substrate height: 7 cm, 20 000 6-DOL/box). Larval weight was recorded at the beginning of trial and every 4 days, and growth rate (GR), specific growth rate (SGR), feed conversion ratio (FCR), survival, bioconversion efficiency corrected for residue (BER), reduction rate (RR), and waste reduction index (WRI) calculated at the end of larval growth (frass DM ≥ 55%). Substrate pH, T and height were measured at the beginning, every 4 days, and end of trial. Larval proximate composition was analysed at the end of trial. Data were analysed by generalised linear mixed model (SPSS software, P < 0.05). The D1 larvae showed higher weight, GR, SGR and WRI (along with higher substrate T) than D2 at M scale, while increased SGR and FCR - as well as decreased survival, RR and WRI - were observed in D2 larvae at S scale (P < 0.05). Larval CP and ether extract (EE) contents were influenced by M and L scales only, being higher in D2 group than in D1 (P < 0.001). Differently, decreased ash was recorded in D2 larvae when reared at S and M scales, while L scale revealed higher ash in D2 group than D1 (P < 0.001). The D3 larvae displayed greater weight, SGR, survival, RR and WRI (along with greater substrate T) than D4 at M scale, with increased survival and substrate T being also highlighted in L scale (P < 0.05). The D3 larvae also showed lower DM and EE - as well as higher CP - than D4 at all the rearing scales (P < 0.001). In conclusion, D1 and D3 led to better BSF larval growth performance, bioconversion efficiency and nutritional profile mainly at M and L scales, as a consequence of their ability to facilitate larval aggregation and, in turn, allow achieving a higher substrate T.

In the autism field, there is increasing interest in translating evidence-based interventions (EBIs) into systems that serve young autistic children and their families. Public Early Intervention systems have been a focal point of research-based implementation efforts given that these systems are federally mandated to provide services to children birth to three years of age with developmental delays under Part C of the Individuals with Disabilities Education Act. Although a growing number of research studies are now training Early Intervention providers to deliver autism EBIs, this work has been conducted on a relatively small scale and has only just begun to consider the alignment of these models with Early Intervention systems and whether sufficient infrastructure exists to scale up these training efforts and to sustain their public health impact. This commentary aims to address this gap by reviewing factors that have been found to uniformly impact the scale-up of EBIs across diverse public systems (Fagan 20, 1147-1168, 2019), and to extend this framework to the implementation of EBIs within public Early Intervention systems. These factors include developer and funder capacity, the public\'s awareness of and support for EBIs, the system\'s leadership support for EBI use, the capacity for community engagement in implementation efforts, the availability of a skilled workforce capable of delivering EBIs, and the capacity for data monitoring and quality improvement. This commentary discusses how these factors may specifically impact the scale-up of autism EBIs within EI systems to support toddlers and young, autistic children, and implications for autism researchers.

BACKGROUND: Complex health interventions (CHIs) are increasingly used in public health, clinical research and education to reduce the burden of disease worldwide. Numerous theories, models and frameworks (TMFs) have been developed to support implementation of CHIs. This systematic review aims to identify and critique theoretical frameworks concerned with three features of implementation; adaptability, scalability and sustainability (ASaS). By dismantling the constituent theories, analysing their component concepts and then exploring factors that influence each theory the review team hopes to offer an enhanced understanding of considerations when implementing CHIs.
METHODS: This review searched PubMed MEDLINE, CINAHL, Web of Science, and Google Scholar for research investigating the TMFs of complex health interventions. Narrative synthesis was employed to examine factors that may influence the adaptability, scalability and sustainability of complex health interventions.
RESULTS: A total of 9763 studies were retrieved from the five databases (PubMed, MEDLINE, CINAHL, Web of Science, and Google Scholar). Following removal of duplicates and application of the eligibility criteria, 35 papers were eligible for inclusion. Influencing factors can be grouped within outer context (socio-political context; leadership funding, inter-organisational networks), inner context; (client advocacy; organisational characteristics), intervention characteristics (supervision, monitoring and evaluation), and bridging factors (individual adopter or provider characteristics).
CONCLUSIONS: This review confirms that identified TMFS do not typically include the three components of adaptability, scalability, and sustainability. Current approaches focus on high income countries or generic \"whole world\" approaches with few frameworks specific to low- and middle-income countries. The review offers a starting point for further exploration of adaptability, scalability and sustainability, within a low- and middle-income context.
BACKGROUND: Not registered.

BACKGROUND: Adverse childhood experiences can impact physical and mental health throughout the lifespan. To support families experiencing adversity and improve child health and developmental equity, an integrated, multi-sector response is required. Child and Family Hubs (Hubs) are a feasible and acceptable approach to providing such a response. In the Australian context, a number of federal and New South Wales (NSW) state policies support an integrated, multi-sector response using Hubs to support families experiencing adversity. This study examined NSW policy stakeholder and health service manager perspectives on the barriers and enablers to translating policy into practice in the implementation of Child and Family Hubs.
METHODS: Semi-structured interviews were conducted with 11 NSW government policy stakeholders and 13 community health service managers working in child and family policy and planning or child and family community-based services. Interviews were of 30-60 min duration and explored stakeholder knowledge, perspectives and experiences around childhood adversity, and barriers and enablers to operationalizing policies supporting Hubs. Analysis of barriers and facilitators to implementation of Hub models of care was undertaken using the Consolidated Framework for Implementation Research (CFIR).
RESULTS: Key barriers that emerged included short-term and inconsistent funding, lack of resourcing for a Hub co-ordinator, limited support for evaluation and insufficient time to plan for Hub implementation. Key enablers included flexibility and adaptability of Hub models to meet local needs, formal change management processes, strong governance structures and engagement among Hub practitioners. Key insights included the importance of targeted strategies to support sustained individual practice change and the need for organization-wide commitment to enable the successful adoption and maintenance of the Hub model of care.
CONCLUSIONS: This study provides valuable insights and contributes evidence around what is needed to strengthen and support the operationalization and scalability of the Hub model of care. Key recommendations for Hub practitioners include the importance of formal change management processes and establishment of strong governance structures, while key recommendations for policymakers include the need for sustainable Hub funding and a standardized, evidence-based framework to support Hub implementation and evaluation.

The urgent need to shift to renewable energy is highlighted by rising global energy use and environmental issues like global warming from fossil fuel dependency. Perovskite solar cells (PSCs) stand out as a promising option, providing high efficiency and potential for cost-effective production. This study delves into the environmental concerns and viable solutions linked with metal-halide PSCs (M-PSCs) and carbon-based electrode PCSs (C-PSCs). It showcases the swift progress in PSC technology, highlighting its potential to deliver efficient and economical renewable energy options. Yet, the environmental implications of these technologies, especially the utilization of toxic lead (Pb) in M-PSCs and the issues of stability and degradation in C-PSCs, represent considerable hurdles for their broad application and sustainability. The paper details the recent advances in PSCs, focusing on enhancements in device efficiency and stability through innovative material combinations and device designs. Nonetheless, the environmental hazards linked to the dispersal of toxic substances from compromised or deteriorating PSCs into the ecosystem raise significant concerns. In particular, the risk of Pb from M-PSCs contaminating soil and aquatic ecosystems is a pressing issue for human and environmental health, spurring investigations into alternative materials and methods to diminish these impacts. The authors examine several strategies, including the introduction of Pb-free perovskites, encapsulation methods to block the escape of hazardous substances, and the recycling of PSC elements. The study stresses the necessity of aligning technological innovations with considerations for the environment and health, calling for ongoing research into PSC technologies that are sustainable and safe. This review highlights the need for detailed assessments of PSC technologies, focusing on their renewable energy contributions, environmental impacts, and strategies to mitigate these effects. The authors call for a cohesive strategy to develop PSCs that are efficient, cost-effective, eco-friendly, and safe for widespread use.

BACKGROUND: The concept of collaborative approaches involves community residents in joint decision-making processes to maintain or enhance their material and social conditions. During COVID-19, public services saw the benefits of actively collaborating with communities and involving residents in decision-making processes. As communities have resources and assets, they are well-placed to contribute to developing local health and wellbeing initiatives. An interdisciplinary and nationally funded three-phase research programme, \"Mobilising community assets to tackle health inequalities\", was established with the objective of utilising local, cultural, and natural assets to support health and wellbeing. The current study aimed to synthesise evidence collected by research teams awarded funding in phase one of the programme, comprising academic and non-academic, health and social care, voluntary and community partners.
METHODS: Ten online focus groups were conducted with research teams from across the UK exploring the successes and challenges of partnership working to tackle health inequalities using collaborative approaches to community-based research. Eight focus group questions were split between partnership working and health inequalities.
RESULTS: Thematic and content analysis produced 185 subthemes from which 12 themes were identified. Major themes representing an above average number of coded responses were research evidence; funding; relationships with partners; health inequalities and deprivation; community involvement; and health service and integrated care systems. Minor themes were link workers and social prescribing; training and support; place-based factors; longevity of programmes; setting up and scaling up programmes; and mental health.
CONCLUSIONS: Successes included employing practice-based and arts-based methods, being part of a research project for those not normally involved in research, sharing funding democratically, building on established relationships, and the vital role that local assets play in involving communities. Challenges involved a lack of sustainable financial support, the short-term nature of funding, inconsistencies in reaching the poorest people, obtaining the right sort of research evidence, making sufficient research progress, building relationships with already over-burdened health care staff, and redressing the balance of power in favour of communities. Despite the challenges, participants were mainly optimistic that collective approaches and meaningful co-production would create opportunities for future research partnerships with communities.