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Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain actions (a.k.a. treatments) that workers may execute to lift the probability that a case ends in a positive outcome. For example, in a loan origination process, a possible treatment is to issue multiple loan offers to increase the probability that the customer takes a loan. Each treatment has a cost. Thus, when defining policies for prescribing treatments to cases, managers need to consider the net gain of the treatments. Also, the effect of a treatment varies over time: treating a case earlier may be more effective than later in a case. This paper presents a prescriptive monitoring method that automates this decision-making task. The method combines causal inference and reinforcement learning to learn treatment policies that maximize the net gain. The method leverages a conformal prediction technique to speed up the convergence of the reinforcement learning mechanism by separating cases that are likely to end up in a positive or negative outcome, from uncertain cases. An evaluation on two real-life datasets shows that the proposed method outperforms a state-of-the-art baseline.

Entomology is key to understanding terrestrial and freshwater ecosystems at a time of unprecedented anthropogenic environmental change and offers substantial untapped potential to benefit humanity in a variety of ways, from improving agricultural practices to managing vector‐borne diseases and inspiring technological advances. We identified high priority challenges for entomology using an inclusive, open, and democratic four‐stage prioritisation approach, conducted among the membership and affiliates (hereafter ‘members’) of the UK‐based Royal Entomological Society (RES). A list of 710 challenges was gathered from 189 RES members. Thematic analysis was used to group suggestions, followed by an online vote to determine initial priorities, which were subsequently ranked during an online workshop involving 37 participants. The outcome was a set of 61 priority challenges within four groupings of related themes: (i) ‘Fundamental Research’ (themes: Taxonomy, ‘Blue Skies’ [defined as research ideas without immediate practical application], Methods and Techniques); (ii) ‘Anthropogenic Impacts and Conservation’ (themes: Anthropogenic Impacts, Conservation Options); (iii) ‘Uses, Ecosystem Services and Disservices’ (themes: Ecosystem Benefits, Technology and Resources [use of insects as a resource, or as inspiration], Pests); (iv) ‘Collaboration, Engagement and Training’ (themes: Knowledge Access, Training and Collaboration, Societal Engagement). Priority challenges encompass research questions, funding objectives, new technologies, and priorities for outreach and engagement. Examples include training taxonomists, establishing a global network of insect monitoring sites, understanding the extent of insect declines, exploring roles of cultivated insects in food supply chains, and connecting professional with amateur entomologists. Responses to different challenges could be led by amateur and professional entomologists, at all career stages. Overall, the challenges provide a div

Introduction Mild intellectual disability or borderline intellectual functioning (MID/BIF) are common in people with severe mental health problems (SMHP). Despite this, there is a lack of treatments adapted for this group of clients. Methods This qualitative study describes the development of a new intervention, guided by the principles of action research, for people with SMHP and MID/BIF and mental health professionals to help them talk about all aspects of the process of recovery. The intervention was developed in four cycles and in close cooperation with mental health professionals, experts by experience, other experts in the field of SMHP or MID/BIF, and clients. During all cycles there was a strong focus on the content of the intervention, exercises, understandable language, and drawings for visual support. Results This resulted in the intervention “Routes to Recovery,” which covers both complaints and strengths, coping strategies, helpful (social) activities, and how to determine future steps in a recovery plan. Discussion Routes to Recovery is a first step in helping professionals and their clients with SMHP and MID/BIF to have a conversation about personal strengths and what the client needs to recover. Future research should investigate the effects of this intervention.

BACKGROUND: Sleep problems are reported in up to 50% of adolescents and young adults (AYA) with cancer. Cognitive behavioural therapy for insomnia (CBTi) is considered the gold-standard treatment. In the AYA population, CBTi is associated with improvements in insomnia, daytime sleepiness, fatigue and quality of life. In adults, stepped-care interventions can improve accessibility to CBTi. This study aims to evaluate the acceptability and feasibility of a stepped-care CBTi programme in AYA with cancer. METHODS AND ANALYSIS: AYA (target N = 80) aged 16-25 with a diagnosis of cancer will be screened using the Insomnia Severity Index (ISI) and Epworth Sleepiness Scale (ESS). When sleep difficulties are identified by the ISI and/or ESS, they will be screened for obstructive sleep apnoea and restless leg syndrome and referred to a sleep service if indicated. The remainder with sleep difficulties will be offered a stepped-care sleep programme including CBT self-management and coaching (first step). Participants will then be rescreened at 5 weeks, and those with ongoing sleep difficulties will be offered individualised CBT (second step). Recruitment and retention rates, adherence to intervention and time taken to deliver screening and intervention will be collected to assess the feasibility of the programme. AYA and clinicians will complete evaluation surveys to assess the acceptability of the AYA Can-Sleep programme. DISCUSSION: We seek to contribute to the evidence base regarding screening and treatment of sleep difficulties in the AYA population by implementing the AYA Can-Sleep programme and determining its feasibility and acceptability as an approach to care in an Adolescent & Young Adult Cancer Service.

In Australia, cancer is the second leading cause of death in adolescents and young adults (AYA). In an audit of 76 AYA decedents known to a comprehensive cancer center, most were male (63%), and most had a parent as primary carer (78%). Median age at diagnosis was 21 years (range: 15-27). Median time from diagnosis to first palliative care consultation was 9 months, and from first palliative care review to death, 4 months. Location of death was hospital (41%), home (24%), and palliative care unit (16%). Eleven (65%) of 17 patients who wished to die at home achieved this.