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Hydrothermal liquefaction (HTL) has remarkable potential for efficient conversion of abundant, decentralized organic wastes into renewable fuels. Because waste is a highly distributed resource with context-dependent economic viability, selection of optimal deployment sites is slowed by the need to develop detailed techno-economic analyses (TEA) for the thousands of potential deployment locations, each with their own unique combinates of scale, proximity to infrastructure/markets, and feedstock properties. An economic modeling framework that requires only easily obtainable inputs for assessing economic performance would therefore allow multiplexed analysis of many thousands of cases, whereas traditional TEA would not be possible for more than a handful of cases. Within such a context, the present study uses machine learning to guide development of a TEA and modeling framework which provides accurate cost predictions using three key inputs – feedstock cost, biocrude yield, and process scale – to estimate the minimum fuel selling price (MFSP) that an HTL process can achieve. The structure of the proposed framework is informed and based on empirical observations of cost projections made by a detailed TEA over a wide range of feedstock costs, biocrude yields, and process scales. A machine learning guided process was used to identify, train, and test a series of models using auto-generated data for training and independently reported data for testing. The most accurate model consists of three terms and requires 6 adjustable parameters to predict independently published values of MFSP (N = 28) to within an average value of ± 20.4%. It is demonstrated that the reduced-order model’s predictions fall within 40% of the corresponding published values 95% of the time, and in the worst case, the associated discrepancy is 45.9%, suggesting that the accuracy of the machine learned model is indeed comparable to the TEAs that were used to build it. Moreover, the terms in the model are physically interpretable, conferring greater reliability to the use of its predictions. The model can be used to predict the dependence of MSFP on biocrude yield, scale, and feedstock cost; interestingly, MFSP is insensitive to biocrude yield and/or scale under many situations of interest and identifying the critical value for a given application is crucial to optimizing economic performance. The proposed model can be also extended to evaluate economic performance of newly developed HTL-based processes, including catalytic HTL, and the methodological framework used in this study is deemed appropriate for the development of machine learned TEA models in cases of other similar waste-to-energy technologies.

Abstract Background Podiatry enrolments at Australian and New Zealand universities have decreased by 17.3% since 2015, which threatens the profession's sustainability and the health and wellbeing of Australian and New Zealand people and communities. Reasons for this decline remain unclear due to insufficient evidence on factors influencing career choices. The overarching aim of this study was to identify motivators and barriers for studying podiatry in Australia and New Zealand. Methods This study used a convergent mixed methods design. Students enrolled in (i) podiatry and (ii) relevant non‐podiatry health, sport or science programs at nine Australian and one New Zealand university, were invited to participate in an online survey. First‐year podiatry students were also invited to participate in an online workshop. Quantitative data were analysed using descriptive statistics and linear/logistic regression models. Three independent assessors used inductive thematic analysis for the qualitative data. Results Overall, 278 podiatry students (mean age 24.9 ± 8.5 years, 65.1% female) and 553 non‐podiatry students (mean age 24.8 ± 8.2 years, 75.4% female; 32.2% from physiotherapy and 29.1% from occupational therapy) responded to the survey. Interest in a health‐related career, wanting to make a difference to people's health, and opportunity to care for people from different backgrounds/age groups were key motivating factors among podiatry students. Barriers to studying podiatry were encountered by 28.1% of podiatry students. Thematic analysis identified seven themes concerning career choice, which are as follows: (i) awareness of profession and scope of practice; (ii) stereotypes and negative perceptions of the profession; (iii) awareness of career pathways; (iv) job prospects and earning potential; (v) working with people and building relationships; (vi) podiatry is not the first preference; and (vii) barriers which limit student enrolment. Conclusions There are a variety of factors that motivate and influence students to study podiatry, however, altruistic reasons are most highly rated. Allied health students have limited understanding of the scope of practice and career opportunities in podiatry. Additionally, the podiatry profession often faces negative stereotypes. Further work is required to reverse the negative stereotypes and perceptions of podiatry and build knowledge of the profession's scope of practice, career pathways/opportunities, job prospects and earning potential.

[Background] This paper defines and illustrates the ways in which Between-Session Homework (BSH) may be integrated into clinical work with clients across various treatment approaches. In line with the focus of this special issue, we explore how clinical training and supervision can enhance therapist skills and competence in the use of BSH. [Method] After providing a brief historical overview and an integrative perspective on BSH, along with a review of empirical research supporting its efficacy, we delve into the discussion of BSH as a transtheoretical clinical method with heuristic value across different treatment approaches, such as cognitive-behavioral, psychodynamic, and humanistic-experiential therapies. [Results] There exists diversity in how BSH is incorporated into distinct treatment approaches. Furthermore, we emphasize the significance of therapist skills and competence in utilizing BSH to facilitate client engagement and achieve positive treatment outcomes. Finally, we address how clinical training and supervision contribute to the development of these essential skills and competence. [Conclusions] Our findings highlight three main points: (1) substantial empirical support for the integration of BSH within cognitive-behavioral therapies, (2) the potential of BSH as a promising transtheoretical clinical method, even though research beyond cognitive-behavioral therapies remains limited, and (3) the imperative need for further research into how clinical training and supervision can effectively enhance therapist skills and competence in implementing BSH.

Abstract Background Left atrium changes are implicated in atrial fibrillation (AF) substrate and are predictive of AF outcomes. Left atrial appendage (LAA) is an integral component of left atrial structure and could be affected by atrial cardiomyopathy. We aimed to elucidate the association between LAA indices and late arrhythmia recurrence after atrial fibrillation catheter ablation (AFCA). Methods The MEDLINE database, ClinicalTrials.gov, medRxiv and Cochrane Library were searched for studies evaluating LAA and late arrhythmia recurrence in patients undergoing AFCA. Data were pooled by meta-analysis using a random-effects model. The primary endpoint was pre-ablation difference in LAA anatomic or functional indices. Results A total of 34 studies were found eligible and five LAA indices were analyzed. LAA ejection fraction and LAA emptying velocity were significantly lower in patients with AF recurrence post-ablation [SMD = − 0.66; 95% CI (− 1.01, − 0.32) and SMD = − 0.56; 95% CI (− 0.73, − 0.40) respectively] as compared to arrhythmia free controls. LAA volume and LAA orifice area were significantly higher in patients with AF recurrence post-ablation (SMD = 0.51; 95% CI 0.35–0.67, and SMD = 0.35; 95% CI 0.20–0.49, respectively) as compared to arrhythmia free controls. LAA morphology was not predictive of AF recurrence post-ablation (chicken wing morphology; OR 1.27; 95% CI 0.79–2.02). Moderate statistical heterogeneity and small case–control studies are the main limitations of our meta-analysis. Conclusions Our findings suggest that LAA ejection fraction, LAA emptying velocity, LAA orifice area and LAA volume differ between patients suffering from arrhythmia recurrence post-ablation and arrhythmia free counterparts, while LAA morphology is not predictive of AF recurrence.

Abstract Introduction The aim of this study was to investigate the possible correlation between peripheral blood biomarkers and morphological characteristics of retinal imaging in patients with retinal vein occlusion (RVO). Methods Participants in this cross-sectional observational study were 65 consecutive patients (65 eyes) with treatment-naïve RVO, who underwent spectral-domain optical coherence tomography (SD-OCT) and fundus fluorescein angiography (FFA). In addition, peripheral blood samples were taken to evaluate full blood count and biochemical parameters. The association between imaging characteristics and laboratory parameters was examined. Results Eyes with subretinal fluid presented significantly higher neutrophil-to-lymphocyte ratios (p = 0.028). Hyperreflective foci on SD-OCT were found to be associated with higher triglyceride levels (p = 0.024). The presence of cysts on SD-OCT was associated with significantly higher triglycerides (p = 0.010). Central subfield thickness (CST) higher than 464 μm was associated with higher lymphocyte count (p = 0.016) and higher urea (p = 0.015). No significant associations were found between laboratory parameters and intraretinal fluid, ellipsoid zone and external limiting membrane condition, or epiretinal membrane and macular ischemia. Conclusions Specific imaging morphological characteristics were found to be associated with laboratory parameters in patients with RVO. These findings may help reveal the pathophysiology of RVO and its correlation with the development of specific clinical signs, while they could guide individualized treatment.

Diabetic retinopathy (DR) is the most common microvascular complication of diabetes mellitus, leading to visual impairment if left untreated. This review discusses the use of optical coherence tomography angiography (OCTA) as a diagnostic tool for the early detection and management of DR. OCTA is a fast, non-invasive, non-contact test that enables the detailed visualisation of the macular microvasculature in different plexuses. OCTA offers several advantages over fundus fluorescein angiography (FFA), notably offering quantitative data. OCTA is not without limitations, including the requirement for careful interpretation of artefacts and the limited region of interest that can be captured currently. We explore how OCTA has been instrumental in detecting early microvascular changes that precede clinical signs of DR. We also discuss the application of OCTA in the diagnosis and management of various stages of DR, including non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), diabetic macular oedema (DMO), diabetic macular ischaemia (DMI), and pre-diabetes. Finally, we discuss the future role of OCTA and how it may be used to enhance the clinical outcomes of DR.

Background: The purpose of this study was to investigate the changes in macular microvasculature using optical coherence tomography angiography (OCTA) in association with functional changes in patients with proliferative diabetic retinopathy (PDR) treated with panretinal photocoagulation (PRP) with a follow up of 12 months. Methods: The participants in this study were 28 patients with PDR and no macular oedema, who were eligible for PRP. All participants underwent best-corrected visual acuity (BCVA) measurement, optical coherence tomography (OCT), and OCT angiography (OCTA) at baseline (before treatment) and at months 1, 6, and 12 after the completion of PRP treatment. The comparison of OCTA parameters and BCVA between baseline and months 1, 6, and 12 after PRP was performed. Results: There was a statistically significant decrease in foveal avascular zone (FAZ) area at months 6 and 12 of the follow-up period compared to baseline (p = 0.014 and p = 0.011 for month 6 and 12, respectively). Of note is that FAZ became significantly more circular 6 months after PRP (p = 0.009), and remained so at month 12 (p = 0.015). There was a significant increase in the mean foveal and parafoveal vessel density (VD) at all quadrants at the superficial capillary plexus (SCP) at month 6 and month 12 after PRP compared to baseline. No difference was noticed in VD at the deep capillary plexus (DCP) at any time-point of the follow up. BCVA remained the same throughout the follow-up period. Conclusions: At months 6 and 12 after PRP, foveal and parafoveal VD at SCP significantly increased compared to baseline, while the FAZ area significantly decreased and FAZ became more circular.