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With the liberalization and deregulation of the power industry, the power market presents increasingly invisible dynamics and uncertainty. Establishing an effective price forecasting model has always been an important issue for power market participants to avoid risks and maximize economic benefits. However, due to the inherent characteristics of high frequency and high volatility of electricity price data, it is still a difficult and challenging problem to achieve high-precision forecasting. To overcome these difficulties, this study constructed a novel multivariate electric price bi-forecasting system based on the proposed linear operator combination mechanism and deep learning model. Specifically, improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is used for data preprocessing, while the multiobjective golden eagle optimization algorithm (MOGEO) optimized deep belief network and bidirectional long short-term memory network are used as the main prediction models for realizing two forecasting modes of point forecast and interval forecast by a multi-input multi-output structure simultaneously. To verify the model forecasting ability and effectiveness, four datasets from Australia (New South Wales) from 2020.7 to 2021.1 are selected for experiments. According to the empirical results, the mean absolute percentage error results of the designed forecasting strategy in point forecasting are within 4% for the four datasets, and the average coverage width criterion values in interval forecasting are all approximately 0.3. The results show that the system has good electricity price forecasting ability and can help policy-makers better understand market dynamics and develop more effective market regulation and intervention measures. • A novel electric price multi-bi-forecasting is constructed using MIMO scheme. • Multi-variable forecast scheme is adopted using the electric price and load data. • A new combination mechanism is introduced to combine the member models. • A superior optimizer is introduced in this system to realize two functions. [ABSTRACT FROM AUTHOR]

Severe asthma leads to debilitating symptoms for patients and excessive socioeconomic burden for the community. Comprehensive models of care are required to address complex issues, risk factors and comorbidities in patients with severe asthma, and to identify patients most appropriate for specialised treatments. Dedicated severe asthma services improve asthma control, reduce asthma exacerbations and hospital admissions, and improve quality of life. Currently, diverse models of care exist for managing severe asthma across Australia. Most referrals to severe asthma services are from respiratory physicians seeking a second opinion or from primary care for poorly controlled asthma. Despite benefits of specialised severe asthma services, many patients are not referred and resources are limited, often resulting in long waiting times. Patient referral is often unstructured and there are considerable variations in the management of severe asthma with limited access to other health care professionals such as speech pathologists and dieticians, and restricted scope to optimise patient work‐up before referral. Ongoing communication between the specialist and referring clinician is essential for continuity of care but is often lacking. Referral pathways can be optimised by developing referral criteria and guidelines to triage patients with severe asthma and to improve resource efficiency. Additional education and tools for assessing and managing severe asthma are needed, and mechanisms should be developed for involving primary care in the management of stabilised patients. Strategies to increase patient access to multidisciplinary services are recommended. [ABSTRACT FROM AUTHOR]

Introduction: Asthma poses a significant burden for the Australian population. Understanding severe exacerbation rates, and steroid-related burden for adults diagnosed with asthma stands to offer insights into how this could be reduced. Methods: Electronic medical records (EMR) and questionnaires from the Optimum Patient Care Research Database Australia (OPCRDA) were utilised retrospectively. OPCRDA is a real-world database with > 800,000 medical records from Australian primary care practices. Outcomes were severe asthma exacerbations in Australian adults, over a 12-month period, stratified by Global Initiative for Asthma (GINA) treatment intensity steps, and steroid associated comorbidities. Results: Of the 7868 adults treated for asthma, 19% experienced at least one severe exacerbation in the last 12-months. Severe exacerbation frequency increased with treatment intensity (≥ 1 severe exacerbation GINA 1 13%; GINA 4 23%; GINA 5a 33% and GINA 5b 28%). Questionnaire participants reported higher rates of severe exacerbations than suggested from their EMR (32% vs 23%) especially in steps 1, 4 and 5. Patients repeatedly exposed to steroids had an increased risk of osteoporosis (OR 1.95, 95% CI 1.43– 2.66) and sleep apnoea (OR 1.78, 95% CI 1.30– 2.46). Conclusion: The Australian population living with GINA 1, 4, 5a and 5b asthma have high severe exacerbation rates and steroid-related burden, especially when compared to other first world countries, with these patients needing alternative strategies or possibly specialist assessment to better manage their condition. [ABSTRACT FROM AUTHOR]

Background: As part of the accelerated development of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we report a dose-finding and adjuvant justification study of SCB-2019, a protein subunit vaccine candidate containing a stabilised trimeric form of the spike (S)-protein (S-Trimer) combined with two different adjuvants.Methods: Our study is a phase 1, randomised, double-blind placebo-controlled trial at a specialised clinical trials centre in Australia. We enrolled healthy adult volunteers in two age groups: younger adults (aged 18-54 years) and older adults (aged 55-75 years). Participants were randomly allocated either vaccine or placebo using a list prepared by the study funder. Participants were to receive two doses of SCB-2019 (either 3 μg, 9 μg, or 30 μg) or a placebo (0·9% NaCl) 21 days apart. SCB-2019 either had no adjuvant (S-Trimer protein alone) or was adjuvanted with AS03 or CpG/Alum. The assigned treatment was administered in opaque syringes to maintain masking of assignments. Reactogenicity was assessed for 7 days after each vaccination. Humoral responses were measured as SCB-2019 binding IgG antibodies and ACE2-competitive blocking IgG antibodies by ELISA and as neutralising antibodies by wild-type SARS-CoV-2 microneutralisation assay. Cellular responses to pooled S-protein peptides were measured by flow-cytometric intracellular cytokine staining. This trial is registered with ClinicalTrials.gov, NCT04405908; this is an interim analysis and the study is continuing.Findings: Between June 19 and Sept 23, 2020, 151 volunteers were enrolled; three people withdrew, two for personal reasons and one with an unrelated serious adverse event (pituitary adenoma). 148 participants had at least 4 weeks of follow-up after dose two and were included in this analysis (database lock, Oct 23, 2020). Vaccination was well tolerated, with two grade 3 solicited adverse events (pain in 9 μg AS03-adjuvanted and 9 μg CpG/Alum-adjuvanted groups). Most local adverse events were mild injection-site pain, and local events were more frequent with SCB-2019 formulations containing AS03 adjuvant (44-69%) than with those containing CpG/Alum adjuvant (6-44%) or no adjuvant (3-13%). Systemic adverse events were more frequent in younger adults (38%) than in older adults (17%) after the first dose but increased to similar levels in both age groups after the second dose (30% in older and 34% in younger adults). SCB-2019 with no adjuvant elicited minimal immune responses (three seroconversions by day 50), but SCB-2019 with fixed doses of either AS03 or CpG/Alum adjuvants induced high titres and seroconversion rates of binding and neutralising antibodies in both younger and older adults (anti-SCB-2019 IgG antibody geometric mean titres at day 36 were 1567-4452 with AS03 and 174-2440 with CpG/Alum). Titres in all AS03 dose groups and the CpG/Alum 30 μg group were higher than were those recorded in a panel of convalescent serum samples from patients with COVID-19. Both adjuvanted SCB-2019 formulations elicited T-helper-1-biased CD4+ T-cell responses.Interpretation: The SCB-2019 vaccine, comprising S-Trimer protein formulated with either AS03 or CpG/Alum adjuvants, elicited robust humoral and cellular immune responses against SARS-CoV-2, with high viral neutralising activity. Both adjuvanted vaccine formulations were well tolerated and are suitable for further clinical development.Funding: Clover Biopharmaceuticals and the Coalition for Epidemic Preparedness Innovations. [ABSTRACT FROM AUTHOR]