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Abstract Unsustainable wild meat hunting poses a significant threat to wildlife and tropical forest ecosystems. While high levels of extraction linked to commercial trade have received significant attention, the sustainability of subsistence hunting by Indigenous Peoples in Africa has been less studied. Understanding how changing lifestyles, particularly the sedentarisation of former hunter-gatherers, have affected the use of forest resources is crucial for wildlife conservation and livelihoods. The spatial management of hunting through the establishment of no-take zones, which act as sources for adjacent hunting areas, offers promise for the sustainability of Indigenous livelihoods. We conducted an extensive camera trap study in hunting areas subject to source-sink dynamics used by 10 sedentarised Baka communities. We compared species richness, occupancy, abundance, and community composition to a relatively non-hunted reference area in the adjacent Dja Faunal Reserve. Subsistence hunting by the Baka had a limited impact on species richness but significantly altered community composition and the abundance of carnivores, seed dispersers and granivores. These changes highlight that even the spatial management of hunting may have consequences for the sustainability of hunting systems and the functional ecology of tropical forests.

Conservation monitoring is paramount for the gathering of information on species and populations in need of conservation actions. However, monitoring of the mountain bongo Tragelaphus eurycerus isaaci, a Critically Endangered antelope endemic to Kenya, has hitherto been limited to surveillance (i.e. focused on persistence of the species in particular areas), thus limiting the information that could be retrieved on the status and trends of these populations. Using a newly developed identification system, we implemented robust design mark–recapture using existing camera-trap records of four wild subpopulations of the bongo. We provide data on sex and age structure and the first estimates of population size in the wild. Males and calves seem to be suffering higher mortality than females, and only two of the four monitored populations include adults of both sexes and calves. The combined size of these two breeding populations is estimated to be 29–50. Our findings confirm the critical situation of the mountain bongo in the wild and highlight the need for conservation actions to reinforce the wild populations for the long-term conservation of this antelope.

Background Previous research showed that behavioural activation is as effective as cognitive–behavioural therapy for general depression. However, it remains unclear if it leads to greater improvement in depressive symptoms when compared with standard treatment for post-stroke depression. Aims To compare the effectiveness of behavioural activation against control conditions in reducing depression symptoms in individuals with post-stroke depression. Method This review searched five databases from inception until 13 July 2021 (updated 15 September 2023) for randomised controlled trials comparing behavioural activation and any control conditions for post-stroke depression. Risk of bias was assessed with the Cochrane Collaboration's Risk-of-Bias 2 tool. The primary outcome was improvement in depressive symptoms in individuals with post-stroke depression. We calculated a random-effects, inverse variance weighting meta-analysis. Results Of 922 initial studies, five randomised controlled trials with 425 participants met the inclusion criteria. Meta-analysis showed that behavioural activation was associated with reduced depressive symptoms in individuals with post-stroke depression at 6-month follow-up (Hedges’ g −0.39; 95% CI −0.64 to −0.14). The risk of bias was low for two (40%) of five trials, and the remaining three (60%) trials were rated as having a high risk of bias. Heterogeneity was low, with no indication of inconsistency. Conclusions Evidence from this review was too little to confirm the effectiveness of behavioural activation as a useful treatment for post-stroke depression when compared with control conditions. Further high-quality studies are needed to conclusively establish the efficacy of behavioural activation as a treatment option for post-stroke depression.

Abstract The role for routine whole genome and transcriptome analysis (WGTA) for poor prognosis pediatric cancers remains undetermined. Here, we characterize somatic mutations, structural rearrangements, copy number variants, gene expression, immuno-profiles and germline cancer predisposition variants in children and adolescents with relapsed, refractory or poor prognosis malignancies who underwent somatic WGTA and matched germline sequencing. Seventy-nine participants with a median age at enrollment of 8.8 y (range 6 months to 21.2 y) are included. Germline pathogenic/likely pathogenic variants are identified in 12% of participants, of which 60% were not known prior. Therapeutically actionable variants are identified by targeted gene report and whole genome in 32% and 62% of participants, respectively, and increase to 96% after integrating transcriptome analyses. Thirty-two molecularly informed therapies are pursued in 28 participants with 54% achieving a clinical benefit rate; objective response or stable disease ≥6 months. Integrated WGTA identifies therapeutically actionable variants in almost all tumors and are directly translatable to clinical care of children with poor prognosis cancers.

This essay offers a geographical political economy explanation to the failed state of the local and regional economic growth and development in England’s regions. The essay advances the field of inquiry known as metagovernance and increasingly multispatial metagovernance, i.e., how complex problems of economic life and the existence of various failures — market failure, state failure, and governance failure — necessitates a focus on governance coordination and its complex geographies. Taking metagovernance as a point of departure, the term “spaces of collibration”, taken initially from the work of Dunsire (1993, 1994 & 1996) and developed by Jessop (2016a, 2016b & 2020), is deployed to capture how altering the relative balance within and between different modes of spatial coordination through state intervention shapes the governance of local and regional economic development. Collibration critically gets behind how uneven development and state intervention in sub-national economic development is managed by creating an unstable equilibrium of compromise, which in turn helps to explain the governance of failure.

Our study was designed to develop a customisable, wearable, and comfortable medical device – the text so-called “MyPAD” that monitors the fullness of the bladder, triggering an alarm indicating the need to void, in order to prevent badwetting – i.e., treating Nocturnal Enuresis (NE) at the text pre-void stage using miniaturised mechatronics with Artificial Intelligence (AI). The developed features include: multiple bespoke ultrasound (US) probes for sensing, a bespoke electronic device housing custom US electronics for signal processing, a bedside alarm box for processing the echoed pulses and generating alarms, and a phantom to mimic the human body. The validation of the system is conducted on the text tissue-mimicking phantom and volunteers using Bidirectional Long Short-Term Memory Recurrent Neural Networks (Bi-LSTM-RNN) and Reinforcement Learning (RL). A Se value of 99% and a Sp value of 99.5% with an overall accuracy rate of 99.3% are observed. The obtained results demonstrate successful empirical evidence for the viability of the device, both in monitoring bladder expansion to determine voiding need and in reinforcing the continuous learning and customisation of the device for bladder control through consecutive uses. Clinical impact: MyPAD will treat the NE better and efficiently against other techniques currently used (e.g., post-void alarms) and will i) replace those techniques quickly considering sufferers’ condition while being treated by other approaches, and ii) enable children to gain control of incontinence over time and consistently have dry nights. Category: Early/Pre-Clinical Research

Evidence shows that behavioral activation (BA), a simple form of psychological therapy, is as effective as the more complex psychological therapy—cognitive behavioral therapy (CBT)—in treating general depression. However, it remains unclear whether BA when compared with treatment-as-usual (TAU) has greater contributions in reducing postnatal depression. This systematic review compared the effect of BA versus TAU in reducing depression symptoms among postnatal women. Five databases (MEDLINE, Embase, Emcare, Cochrane Library, and PsycINFO) were searched. Risk of bias was assessed using the Cochrane Collaboration’s ‘risk-of-bias 2 tool’. A random-effects meta-analysis was conducted to examine the effect of BA on postnatal depression. Of 2844 initial studies, only two randomized control trials (RCTs) met the inclusion criteria. The overall quality of evidence of these two RCTs was low. When compared to TAU, meta-analysis showed that BA was associated with reduced depression symptoms in postnatal women (standard mean difference −0.56; 95% confidence interval −0.76 to −0.37). This review suggests that BA might be more effective than TAU for alleviating postnatal depression. However, due to concerns about evidence quality, these findings should be interpreted cautiously.

There is some evidence that aspects of nurse–doctor communication are associated with the quality of care and treatment patients receive whilst they are in hospital. To date, no studies have examined stakeholder perceptions on how patient care is influenced by clinical communication between nurses and doctors. We conducted a concept mapping study to generate a deep understanding of how clinical communication impacts patient care. Concept mapping has six phases: preparation, idea generation, structuring, representation, interpretation, and utilization. A total of 20 patients, 21 nurses, and 21 doctors participated in the study. Brainstorming generated 69 discreet statements about how nurse–doctor communication impacts patient care. The structuring (rating and clustering) phase was completed by 48 participants. The data interpretation workshop selected a five-cluster solution: effective communication, trust, patient safety, impediments to patient care, and interpersonal skills. On the final concept map, the five clusters were arranged in a circle around the center of the map. Clusters were relatively equal in size, suggesting that each concept makes a broadly equal contribution to how nurse–doctor communication influences patient care. Our study suggests that there are multiple aspects of clinical communication that impact patient care. Candidate interventions to enhance nurse–doctor communication may need to consider the complex nature of interprofessional working. Registration: This study was prospectively registered with the Open Science Framework (OSF) on 09.07.2020 (osf.io/9np8v/) prior to recruiting the first participant.

Introduction Negative symptoms are frequently experienced by people with schizophrenia. People with negative symptoms often have impaired social functioning and reduced quality of life. There is some evidence that cognitive–behavioural therapy results in a modest reduction in negative symptoms. Behavioural activation may be an effective alternative treatment for negative symptoms.The study aims to examine the feasibility and acceptability of implementing a behavioural activation trial delivered in three community mental health services in South Australia to support adult consumers experiencing negative symptoms of schizophrenia.Method and analysis This randomised controlled study will recruit a total of 60 consumers aged 18 years or above with mild-moderate negative symptoms of schizophrenia. The consumers will be randomly allocated to receive behavioural activation plus usual mental healthcare or usual mental healthcare alone. The intervention group will receive twelve 30 min sessions of behavioural activation, which will be delivered twice weekly over 6 weeks. In addition, we aim to recruit nine mental health workers from the three rural mental health services who will complete a 10-week online training programme in behavioural activation. Changes in negative symptoms of schizophrenia and depressive symptoms will be assessed at three time points: (a) at baseline, at 6 weeks and 3 month follow-ups. Changes in health-related quality of life (Short Form F36; secondary outcome) will be assessed at two time points: (a) at baseline and (b) immediately at postintervention after 6 weeks. At the end of the trial, interviews will be conducted with purposively selected mental health workers and consumers. Descriptive statistics and thematic analysis will be used to assess feasibility and acceptability.Ethics and dissemination The findings from our feasibility study will inform the design of a fully powered randomised controlled trial to test the effectiveness of behavioural activation as a treatment for negative symptoms in schizophrenia. The study protocol was approved by the Central Adelaide Local Health Network Human Research Ethics Committee. The findings from this study will be disseminated through peer-reviewed scientific journals and conferences.Trial registration number ACTRN12623000348651p.

Summary: Background: Treatment-simplification strategies are important tools for patient-centred management. We evaluated long-term outcomes from a PI monotherapy switch strategy. Methods: Eligible participants attending 43 UK treatment centres had a viral load (VL) below 50 copies/ml for at least 24 weeks on combination ART. Participants were randomised to maintain ongoing triple therapy (OT) or switch to a strategy of physician-selected PI monotherapy (PI-mono) with prompt return to combination therapy if VL rebounded. The primary outcome, previously reported, was loss of future drug options after 3 years, defined as new intermediate/high level resistance to at least one drug to which the participant's virus was considered sensitive at trial entry. Here we report resistance and disease outcomes after further extended follow-up in routine care. The study was registered as ISRCTN04857074. Findings: We randomised 587 participants to OT (291) or PI-mono (296) between Nov 4, 2008, and July 28, 2010 and followed them for a median of more than 8 years (100 months) until 2018. At the end of this follow-up time, one or more future drug options had been lost in 7 participants in the OT group and 6 in the PI-mono group; estimated cumulative risk by 8 years of 2.7% and 2.1% respectively (difference −0.6%, 95% CI −3.2% to 2.0%). Only one PI-mono participant developed resistance to the protease inhibitor they were taking (atazanavir). Serious clinical events (death, serious AIDS, and serious non-AIDS) were infrequent; reported in a total of 12 (4.1%) participants in the OT group and 23 (7.8%) in the PI-mono group (P = 0.08) over the entire follow-up period. Interpretation: A strategy of PI monotherapy, with regular VL monitoring and prompt reintroduction of combination treatment following rebound, preserved future treatment options. Findings confirm the high genetic barrier to resistance of the PI drug class that makes them well suited for creative, patient-centred, treatment-simplification approaches. The possibility of a small excess risk of serious clinical events with the PI monotherapy strategy cannot be excluded. Funding: The National Institute for Health Research Health Technology Assessment programme.

Efforts to identify suitable habitat for wildlife conservation are crucial for safeguarding biodiversity, facilitating management, and promoting sustainable coexistence between wildlife and communities. Our study focuses on identifying potential black rhino (Diceros bicornis) habitat within the Ngorongoro Conservation Area (NCA), Tanzania, across wet and dry seasons. To achieve this, we used remote sensing data with and without field data. We employed a comprehensive approach integrating Sentinel-2 and PlanetScope images, vegetation indices, and human activity data. We employed machine learning recursive feature elimination (RFE) and random forest (RF) algorithms to identify the most relevant features that contribute to habitat suitability prediction. Approximately 36% of the NCA is suitable for black rhinos throughout the year; however, there are seasonal shifts in habitat suitability. Anthropogenic factors increase land degradation and limit habitat suitability, but this depends on the season. This study found a higher influence of human-related factors during the wet season, with suitable habitat covering 53.6% of the NCA. In the dry season, browse availability decreases and rhinos are forced to become less selective of the areas where they move to fulfil their nutritional requirements, with anthropogenic pressures becoming less important. Furthermore, our study identified specific areas within the NCA that consistently offer suitable habitat across wet and dry seasons. These areas, situated between Olmoti and the Crater, exhibit minimal disturbance from human activities, presenting favourable conditions for rhinos. Although the Oldupai Gorge only has small suitable patches, it used to sustain a large population of rhinos in the 1960s. Land cover changes seem to have decreased the suitability of the Gorge. This study highlights the importance of combining field data with remotely sensed data. Remote sensing-based assessments rely on the importance of vegetation covers as a proxy for habitat and often overlook crucial field variables such as shelter or breeding locations. Overall, our study sheds light on the imperative of identifying suitable habitat for black rhinos within the NCA and underscores the urgency of intensified conservation efforts. Our findings underscore the need for adaptive conservation strategies to reverse land degradation and safeguard black rhino populations in this dynamic multiple land-use landscape as environmental and anthropogenic pressures evolve.

In this study, we characterize the exopolymer produced by Halomonas sp. strain TGOS-10 -one of the organisms found enriched in sea surface oil slicks during the Deepwater Horizon oil spill. The polymer was produced during the early stationary phase of growth in Zobell's 2216 marine medium amended with glucose. Chemical and proton NMR analysis showed it to be a relatively monodisperse, high-molecular-mass (6,440,000 g/mol) glycoprotein composed largely of protein (46.6% of total dry weight of polymer). The monosaccharide composition of the polymer is typical to that of other marine bacterial exopolymers which are generally rich in hexoses, with the notable exception that it contained mannose (commonly found in yeast) as a major monosaccharide. The polymer was found to act as an oil dispersant based on its ability to effectively emulsify pure and complex oils into stable oil emulsions-a function we suspect to be conferred by the high protein content and high ratio of total hydrophobic nonpolar to polar amino acids (52.7:11.2) of the polymer. The polymer's chemical composition, which is akin to that of other marine exopolymers also having a high protein-to-carbohydrate (P/C) content, and which have been shown to effect the rapid and non-ionic aggregation of marine gels, appears indicative of effecting marine oil snow (MOS) formation. We previously reported the strain capable of utilising aromatic hydrocarbons when supplied as single carbon sources. However, here we did not detect biodegradation of these chemicals within a complex (surrogate Macondo) oil, suggesting that the observed enrichment of this organism during the Deepwater Horizon spill may be explained by factors related to substrate availability and competition within the complex and dynamic microbial communities that were continuously evolving during that spill.

Background: Negative symptoms, frequently experienced by people with schizophrenia, can impair functional outcomes and quality of life. Negative symptoms typically affect motivation, communication, and the ability to live independently and are difficult to treat. Several meta-analyses suggest that cognitive behavioural therapy results in a modest reduction in negative symptoms. It is unclear if similar effects can be achieved using behavioural activation. Behavioural activation is a derivative of cognitive behavioural therapy that helps to improve social and emotional functioning by encouraging patients to engage in activities that they value whilst modifying the avoidance responses. Behavioural activation can be a standalone treatment for depressive symptoms that is equally as efficacious as cognitive behavioural therapy. Objective: This systematic review aimed to identify and summarise the evidence about the efficacy of behavioural activation in treating negative symptoms. Design: Systematic review Setting/Participants: Two published studies conducted in South Korea and the United Kingdom recruited 55 patients. Method: We searched five databases and four trial registries for clinical treatment trials of behavioural activation involving adults diagnosed with negative symptoms of schizophrenia. Studies were screened according to the inclusion criteria and assessed for quality. Results: We identified 5023 published studies. After removing duplicates and conducting screening, two studies were included in this review. One study used a parallel non-randomised trial design whilst the other adopted a single group test-re-test design. Fifty-five participants were recruited from hospital and community settings. Both studies delivered 10 face-to-face sessions of behavioural activation; these were individual in one study and group sessions in the other. One study involved behavioural activation as the treatment whilst the other delivered behavioural activation with motivational interviewing. Neither study reported harms or adverse events. Conclusions: Based on the included studies, there is low-quality evidence that behavioural activation may be helpful in the treatment of negative symptoms. Key limitations of the studies include small sample sizes and overall low study quality. Study registration: The protocol covering this review was registered with Open Science on 18 February 2022 (Registration DOI 10.17605/OSF.IO/57QSW; Weblink: https://osf.io/57qsw) Tweetable abstract: Behavioural activation holds promise in supporting patients experiencing negative symptoms of schizophrenia.

Abstract Hydrocarbon-degrading bacteria, which can be found living with eukaryotic phytoplankton, play a pivotal role in the fate of oil spillage to the marine environment. Considering the susceptibility of calcium carbonate-bearing phytoplankton under future ocean acidification conditions and their oil-degrading communities to oil exposure under such conditions, we investigated the response of non-axenic E. huxleyi to crude oil under ambient versus elevated CO2 concentrations. Under elevated CO2 conditions, exposure to crude oil resulted in the immediate decline of E. huxleyi, with concomitant shifts in the relative abundance of Alphaproteobacteria and Gammaproteobacteria. Survival of E. huxleyi under ambient conditions following oil enrichment was likely facilitated by enrichment of oil-degraders Methylobacterium and Sphingomonas, while the increase in relative abundance of Marinobacter and unclassified Gammaproteobacteria may have increased competitive pressure with E. huxleyi for micronutrient acquisition. Biodegradation of the oil was not affected by elevated CO2 despite a shift in relative abundance of known and putative hydrocarbon degraders. While ocean acidification does not appear to affect microbial degradation of crude oil, elevated mortality responses of E. huxleyi and shifts in the bacterial community illustrates the complexity of microalgal-bacterial interactions and highlights the need to factor these into future ecosystem recovery projections.

Abstract The Ngorongoro Conservation Area (NCA) of Tanzania, is globally significant for biodiversity conservation due to the presence of iconic fauna, and, since 1959 has been managed as a unique multiple land‐use areas to mutually benefit wildlife and indigenous residents. Understating vegetation dynamics and ongoing land cover change processes in protected areas is important to protect biodiversity and ensure sustainable development. However, land cover changes in savannahs are especially difficult, as changes are often long‐term and subtle. Here, we demonstrate a Landsat‐based monitoring strategy incorporating (i) regression‐based unmixing for the accurate mapping of the fraction of the different land cover types, and (ii) a combination of linear regression and the BFAST trend break analysis technique for mapping and quantifying land cover changes. Using Google Earth Pro and the EnMap‐Box software, the fractional cover of the main land cover types of the NCA were accurately mapped for the first time, namely bareland, bushland, cropland, forest, grassland, montane heath, shrubland, water and woodland. Our results show that the main changes occurring in the NCA are the degradation of upland forests into bushland: we exemplify this with a case study in the Lerai Forest; and found declines in grassland and co‐incident increases in shrubland in the Serengeti Plains, suggesting woody encroachment. These changes threaten the wellbeing of livestock, the livelihoods of resident pastoralists and of the wildlife dependent on these grazing areas. Some of the land cover changes may be occurring naturally and caused by herbivory, rainfall patterns and vegetation succession, but many are linked to human activity, specifically, management policies, tourism development and the increase in human population and livestock. Our study provides for the first time much needed and highly accurate information on long‐term land cover changes in the NCA that can support the sustainable management and conservation of this unique UNESCO World Heritage Site.

Abstract Background Aeromedical emergency retrieval services play an important role in supporting patients with critical and often life-threatening clinical conditions. Aeromedical retrieval services help to provide fast access to definitive care for critically ill patients in under-served regions. Typically, fixed-wing aeromedical retrieval becomes the most viable transport option compared with rotary-wing aircraft when distances away from centres of definitive care extend beyond 200 kms. To our knowledge, there are no studies that have investigated fixed-wing aeromedical services in the member countries of the organisation for economic cooperation and development (OECD). A description of the global characteristics of aeromedical services will inform international collaboration to optimise clinical outcomes for patients. Aim In this scoping review, we aimed to describe the features of government- and not-for-profit organisation-owned fixed-wing aeromedical retrieval services in some of the member countries of the OECD. Methods We followed scoping review methodology based on the grey literature search strategy identified in earlier studies. This mostly involved internet-based searches of the websites of fixed-wing aeromedical emergency retrieval services affiliated with the OECD member countries. Results We identified 460 potentially relevant records after searching Google Scholar (n = 24) and Google search engines (n = 436). After removing ineligible and duplicate information, this scoping review identified 86 government-and not-for-profit-operated fixed-wing aeromedical retrieval services as existing in 17 OECD countries. Concentrations of the services were greatest in the USA followed by Australia, Canada, and the UK. The most prevalent business models used across the identified OECD member countries comprised the government, not-for-profit, and hybrid models. Three-quarters of the not-for-profit and two-fifths of the hybrid business models were in the USA compared to other countries studied. The government or state-funded business model was most common in Australia (11/24, 46%), Canada (4/24, 17%), and the UK (4/24, 17%). The frequently used service delivery models adopted for patients of all ages included primary/secondary retrievals, secondary retrievals only, and service specialisation models. Of these service models, primary/secondary retrieval involving the transportation of adults and children from community clinics and primary health care facilities to centres of definitive care comprised the core tasks performed by most of the aeromedical retrieval services studied. The service specialisation model provided an extra layer of specialist health care dedicated to the transportation of neonates and paediatrics. At least eight aeromedical retrieval services catered solely for children from birth to 16 years of age. One aeromedical service, the royal flying doctor service in Australia also provided primary health care and telehealth services in addition to primary retrieval and interhospital transfer of patients. The doctor and registered nurse/paramedic (Franco-German model) and the nurse and/or paramedic (Anglo-American model) configurations were the most common staffing models used across the aeromedical services studied. Conclusions The development and composition of fixed-wing aeromedical emergency retrieval services operated by not-for-profit organisations and governments in the OECD countries showed diversity in terms of governance arrangements, services provided, and staffing models used. We do not fully understand the impact of these differences on the quality of service provision, including equitable service access, highlighting a need for further research.

The scientific method assumes that researchers use evidence generated from observational research to make predictions (hypotheses) that can be tested experimentally [...]

The control of eye gaze is critical to the execution of many skills. The observation that task experts in many domains exhibit more efficient control of eye gaze than novices has led to the development of gaze training interventions that teach these behaviours. We aimed to extend this literature by i) examining the relative benefits of feed-forward (observing an expert’s eye movements) versus feed-back (observing your own eye movements) training, and ii) automating this training within virtual reality. Serving personnel from the British Army and Royal Navy were randomised to either feed-forward or feed-back training within a virtual reality simulation of a room search and clearance task. Eye movement metrics – including visual search, saccade direction, and entropy – were recorded to quantify the efficiency of visual search behaviours. Feed-forward and feed-back eye movement training produced distinct learning benefits, but both accelerated the development of efficient gaze behaviours. However, we found no evidence that these more efficient search behaviours transferred to better decision making in the room clearance task. Our results suggest integrating eye movement training principles within virtual reality training simulations may be effective, but further work is needed to understand the learning mechanisms.

The advent of generative AI has revolutionized higher education, presenting opportunities and challenges, both of which require educators to not only embrace artificial intelligence as a pedagogical tool, but also to develop strategies and modify traditional assessment methods to mitigate AI-assisted plagiarism thereby ensuring ongoing academic integrity. This paper evaluates the impact of ChatGPT on traditional methods of assessment in higher education and makes practical recommendations as to how to redesign coursework to mitigate AI-assisted plagiarism today. It argues that artificial intelligence is not an existential threat to higher education, but rather, ought to be understood as a tool to greatly enhance it. It suggests educators embrace AI to develop new pedagogical concepts, utilizing it to create assignments that reduce opportunities for AI-assisted plagiarism. Generative AI not only has the potential to support teaching and learning in the classroom but is also the very tool necessary to help redesign traditional forms of assessment in a post-ChatGPT context. As virtual education grows, ensuring academic integrity will become increasingly important. Educators must harness the advantages of AI by modifying assignments so that they are not only challenging for today’s digitally versed students but are also difficult to plagiarize using AI tools. Overall, the paper advocates for embracing AI in higher education and adapting pedagogical practices to leverage its advantages while also utilizing it to safeguard overall academic integrity. It encourages educators to be at the forefront of AI experimentation and research to harness the potential of AI in transforming the learning environment.

BackgroundTheoretically, behavioural activation may have a valuable role to play in the treatment of depression among young people with emerging/early psychosis, however we lack trial evidence concerning its acceptability and feasibility. This study will establish the feasibility of clinician-delivered behavioural activation as an adjunct to standard care for this population. We aim to train and support clinicians in delivering behavioural activation to improve depressive symptoms in young people with early/emerging psychosis. Our objectives are to: Establish the number of young people with early/emerging psychosis with clinically meaningful depression symptoms.Establish the proportion of clinicians that complete the behavioural activation training and are deemed to be competent.Determine the proportion of eligible participants approached who agree to consent to the research.Determine the proportion of participants that complete baseline measures, complete behavioural activation treatment (attending for at least fifteen minutes in a minimum of eight sessions), and complete follow-up measures (immediately post-intervention and at 3 months follow-up).Establish clinicians' fidelity to treatment (by recording randomly selected treatment sessions and completing a fidelity checklist).Calculate preliminary efficacy of behavioural activation against primary and secondary outcomes.Explore participants' experiences of facilitating behavioural activation (clinicians) and receiving behavioural activation (young people with emerging/early psychosis).MethodThis is a pilot controlled clinical trial with a two-arm parallel-group study. Approximately 60 young people with emerging/early psychosis will be randomly allocated to either behavioural activation treatment plus standard care or standard care alone. The primary outcome: depressive symptoms; and secondary outcomes: negative symptoms, overall psychiatric symptoms, medication side effects and functioning, will be assessed at baseline, post-intervention and at 3-months follow-up. The protocol is registered with the Australian New Zealand Clinical Trials Registry (reference number: ACTRN12622000756729).DiscussionThe findings will inform the design of a full-scale randomised controlled trial.

Concept mapping is a phased, mixed-method approach that is increasingly used in health research to develop an understanding of complex phenomena. The six phases of concept mapping are preparation, idea generation, structuring (clustering and prioritization), data analysis, interpretation, and utilization of the map. The reporting of concept mapping research requires the development of a specific reporting guideline. We conducted a systematic review to identify candidate reporting items for inclusion in a reporting guideline. Three databases (MEDLINE, CINAHL, and PsycInfo) were searched to identify studies that used concept mapping methodology. We included 75 concept mapping studies published since 2019 from which we extracted information about the quality of reporting. A third of the studies focused on public health. We identified 71 candidate items that relate to the quality of reporting concept mapping research. The rationale for the study, the focus prompt, procedures for brainstorming, and structuring statements were consistently reported across the included studies. The process for developing the focus prompt, the rationale for the size of the stakeholder groups, and the process for determining the final concept map were generally not reported. The findings from the review will be used to inform the development of our reporting guideline for concept mapping research.

The COVID-19 pandemic both revealed and intensified the United Kingdom's (UK) regional inequalities. The UK is widely recognised as one of the most regionally unbalanced nations in the developed world, with many “left behind” places across the North and Midlands like Stoke-on-Trent falling way behind parts of London and the Southeast of England in terms of living standards in the neoliberal era. Since 2019 the UK Government have promised to “Level Up” the UK, culminating in the publication of the Levelling Up White Paper in 2022. This pinpointed the need to raise living standards, opportunity, and prosperity across the UK, with Stoke identified as a priority area. Primarily utilising qualitative case study data (N = 15) provided by Citizens Advice Staffordshire North and Stoke-on-Trent (CASNS), this article explicates how there are myriad challenges to the Levelling Up strategy in Stoke. Suffering from a historical legacy of the loss of its ceramics and manufacturing industries, the paper outlines how the city-region contains a structural cocktail of disadvantage including low paid jobs, welfare erosion, indebtedness, destitution, and food insecurity. The article closes by discussing the implications of these structural problems for the Government's Levelling Up agenda, suggesting that only a transformative shift in both allocated resources and neoliberal spatial development will regional imbalances be adequately addressed in places like Stoke-on-Trent.

The frequency and intensity of cyanobacterial blooms continue to increase in freshwater systems across the globe. Cyanobacteria can release toxins and several bioactive secondary metabolites and analytical methods are needed to effectively assess their concentrations in surface waters. Since booms can evolve rapidly in parts of a lake, high resolution of spatial and temporal sampling increases the complexity of monitoring efforts. Here, we present the validation of an automated, online-solid phase extraction (SPE) high performance liquid chromatography (HPLC)-high resolution tandem mass spectrometry (HRMS/MS) method. This online-SPE HPLC-HRMS/MS methods enables quantitative monitoring of surface waters for 17 cyanobacterial peptides (cyanopeptides), spanning 5 distinct cyanopeptide classes, including: microcystins, anabaenopeptins, nodularins, cyclamides and cyanopeptolins. The method can quantify these cyanopeptides in the low ng/L-range with high accuracy (85-116%) and low relative matrix effects (