Detention of children and adolescents under mental health legislation: a scoping review of prevalence, risk factors, and legal frameworks

Background: For individuals with severe mental illness, involuntary assessment and/or treatment (hereafter detention) can be a necessary intervention to support recovery and may even be lifesaving. Despite this, little is known about how often these interventions are used for children and adolescents. Methods: This global scoping review set out to: (1) map the current evidence around mental health detentions of children and adolescents (< 18 years); (2) identify the clinical, sociodemographic, and behavioural factors associated with detention; and (3) document the views of professionals and young people on the implementation of mental health legislation. Results: After searching databases of peer-reviewed literature and citation chaining, 42 articles from 15 jurisdictions were included. About one fifth of psychiatric admissions in national register data were detentions, however trends were only available for a few high-income Western countries. The circumstances justifying detention and the criteria authorising detention varied between studies, with a mix of clinical factors and observed behaviours reported as the reason(s) warranting/precipitating a detention. Particular groups were more likely to experience detention, such as children and adolescents from minority ethnic communities and those with a documented history of abuse. There was a notable absence of qualitative research exploring the views of professionals or children and adolescents on detention. Conclusion: Further research is needed to explore the impact of detention on those aged < 18 years, including national register-based studies and qualitative studies. This is particularly relevant in nations currently undergoing legislative reform

Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics

This study examines viewers’ characteristics and operational dynamics of football viewing centres (FVCs) in Agege, Lagos Megacity, Nigeria. It anchors on the “theory of happiness” and the microeconomic vitality of FVCs using a mixed-methods approach. The results of the descriptive and inferential statistics revealed that most viewers can afford subscriptions for digital TV in their homes, yet patronize the FVCs. Factors attributed to patronage are happiness, excitement, and other social opportunities, with some perspectives of leisure and microeconomic vitality benefits. Finally, the study suggests a new policy direction to mitigate the negative effects of unplanned areas resulting in the proliferation of FVCs

Healers and Midwives Accused of Witchcraft (1563-1736) - What Secondary Analysis of the Scottish Survey of Witchcraft Can Contribute to the Teaching of Nursing and Midwifery History

Background: Nearly 4000 people were accused of witchcraft in Scotland between 1563-1736. Some of these were healers, midwives, and nurses. Objective: To investigate Scotland’s folk-healers and midwives accused of witchcraft and review their work from a nursing and midwifery perspective.Design: Secondary analysis of the Survey of Scottish Witchcraft.Methods: Those on the Survey with witchcraft accusations relating to folk-healing or midwifery were identified and their biographies were created from Survey data (2021). Individual biographical data were descriptively analysed. Healing/midwifery practice information was tabulated and thematically analysed. Results: 142 individuals were identified (85% women), 51% were found guilty, 90% were executed. Most (98%) were folk-healers with 10 accused for midwifery reasons. Mainly their work was accused of causing harm. Three themes emerged: their use of rituals; unorthodox religious practices and treatments. Rituals included actions carried out a certain number of times. Religious practices frequently referenced Catholicism. Many of their treatments for ingestion, application or bathing used items still recognised for their health properties. Approximately, 10% of the 142, mainly in the 1500s/early 1600s, utilised expensive items and complex treatments which had more in common with ‘elite’ knowledge rather than simple folklore.Conclusions: Across all 142 people, many aspects of their work are identifiable within more contemporary nursing and midwifery practice including their use of rituals, treatments, and holism. Mostly the accused were folk-practitioners, but a few (1500s/early 1600s) appear to have been healers working akin to physicians. Following the Protestant reformation (1560) their work, unlike that of physicians, was marginalised, considered unorthodox and harmful because they were women and/or their work reflected Catholicism. European hospital nursing originates in the monastic houses, but little is known about these early religious nurses. This study is novel in suggesting that whoever taught these accused witch/healers may have been connected to the monastic hospitals pre-Reformation

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting data from ML models is more complex than databases. Machine Un-learning (MUL), an emerging field, garners academic interest for selectively erasing learned data from ML models. MUL benefits multiple disciplines, enhancing privacy, security, usability, and accuracy. This article reviews MUL’s significance, providing a taxonomy and summarizing key MUL algorithms. We categorize modern MUL models by criteria, including model independence, data driven, and implementation considerations. We explore MUL applications in smart devices and recommendation systems. We also identify open questions and future research areas. This work advances methods for implementing regulations like GDPR and safeguarding user privacy

Discursive constructions of student midwives’ professional identities: A discourse analysis

BackgroundThe construction and performance of professional identity is significant to broader socio-cultural understandings of who ‘professionals’ are and what they do. Importantly, it is also implicated in the development and enactment of policy, regulation, education, and professional practice. Professional identity is linked to self-esteem, self-efficacy, professional value, confidence and success. The salience of this in relation to midwifery practice is highly significant; aspects of autonomy, confidence, competence, responsibility, and accountability are all implicated in the provision of safe and effective care.AimTo explore how student midwives are constructed in the discourses of policy, professionalism, and learning, to provide new perspectives to inform, policy, education, and practice.MethodsAn adapted critical discourse analysis of the United Kingdom (UK) Nursing and Midwifery Council’s 2009 Standards for pre-registration midwifery education, using a three-step process: exploring discourse at the level of (1) discursive practice (2) linguistic features of the text, and (3) social practice.Findings/ DiscussionThe discourses that relate to midwifery education and practice emerge within socio-political and historical contexts. Constructions of identity are articulated through a rule-bound framework which includes competence, confidence and ‘good health and good character’. There is a requirement for midwives to ‘be’ responsible, accountable, autonomous, professional, competent, and confident. Regulatory power is reinforced through medico-legal discourses, with the status of midwifery discursively presented as inferior to medicine.ConclusionAccording to the Standards, midwives must be a lot of things in their role and function. The Standards’ discourses are authoritative, legislative and controlling, creating an ideology about professional status and agency which constructs an ‘imaginary autonomy’; becoming a midwife is more automatic (with the perception of control), than agentic. All of which has significance for the social practice of midwifer

Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review

Sepsis continues to be recognized as a significant global health challenge across all ages and is characterized by a complex pathophysiology. In this scoping review, PRISMA-ScR guidelines were adhered to, and a transcriptomic methodology was adopted, with the protocol registered on the Open Science Framework. We hypothesized that gene expression analysis could provide a foundation for establishing a clinical research framework for sepsis. A comprehensive search of the PubMed database was conducted with a particular focus on original research and systematic reviews of transcriptomic sepsis studies published between 2012 and 2022. Both coding and non-coding gene expression studies have been included in this review. An effort was made to enhance the understanding of sepsis at the mRNA gene expression level by applying a systems biology approach through transcriptomic analysis. Seven crucial components related to sepsis research were addressed in this study: endotyping (n = 64), biomarker (n = 409), definition (n = 0), diagnosis (n = 1098), progression (n = 124), severity (n = 451), and benchmark (n = 62). These components were classified into two groups, with one focusing on Biomarkers and Endotypes and the other oriented towards clinical aspects. Our review of the selected studies revealed a compelling association between gene transcripts and clinical sepsis, reinforcing the proposed research framework. Nevertheless, challenges have arisen from the lack of consensus in the sepsis terminology employed in research studies and the absence of a comprehensive definition of sepsis. There is a gap in the alignment between the notion of sepsis as a clinical phenomenon and that of laboratory indicators. It is potentially responsible for the variable number of patients within each category. Ideally, future studies should incorporate a transcriptomic perspective. The integration of transcriptomic data with clinical endpoints holds significant potential for advancing sepsis research, facilitating a consensus-driven approach, and enabling the precision management of sepsis

Are Users of Digital Archives Ready for the AI Era? Obstacles to the Application of Computational Research Methods and New Opportunities

 Innovative technologies are improving the accessibility, preservation and searchability of born-digital and digitised records. In particular, Artificial Intelligence (AI) is opening new opportunities for archivists and researchers. However, the experience of scholars (particularly humanities scholars) and other users remain understudied. This article asks how and why researchers and general users are, or are not, using computational methods. This research is informed by an open-call survey, completed by 22 individuals, and semi-structured interviews with 33 professionals, including archivists, librarians, digital humanists, literary scholars, historians, and computer scientists. Drawing on these results, this article offers an analysis of user experiences of computational research methods applied to digitised and born-digital archives. With a focus on humanities and social science researchers, this article also discusses users who resist this kind of research, perhaps because they lack the skills necessary to engage with these materials at scale, or because they prefer to use more traditional methods, such as close reading and historical analysis. Here, we explore the uses of computational and more ‘traditional’ research methodologies applied to digital records. We also make a series of recommendations to elevate users’ computational skills but also to improve the digital infrastructure to make archives more accessible and usable

Active Cellulose-Based Food Packaging and Its Use on Foodstuff

The essential role of active packaging is food quality improvement, which results in an extension of shelf life. Active packaging can also further enhance distribution from the origin point, and contributes to food waste reduction, offering greater sustainability. In this study, we introduced a new method for obtaining cellulose-based active packages, combining gamma irradiation as an eco-friendly activation process, and clove essential oil and cold-pressed rosehip seed oil as bioactive agents. Newly obtained bioactive materials were evaluated to assess their structural, hydrophobic, and morphological properties, thermal stability, and antioxidant and antimicrobial properties. The results showed that the plant oils induced their antimicrobial effects on paper, using both in vitro tests, against several bacterial strains (Gram-positive bacteria Listeria monocytogenes and Gram-negative bacteria Salmonella enteritidis and Escherichia coli), and in vivo tests, on fresh cheese curd and beef. Moreover, these oils can help control foodborne pathogens, which leads to extended shelf life

Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection

For the first time, we enable the execution of hybrid quantum machine learning (HQML) methods on real quantum computers with 100 data samples and real-device-based simulations with 5000 data samples, thereby outperforming the current state of research of Suryotrisongko and Musashi from 2022 who were dealing with 1000 data samples and quantum simulators (pure software-based emulators) only. Additionally, we beat their reported accuracy of 76.8% by an average accuracy of 91.2%, all within a total execution time of 1687 s. We achieve this significant progress through two-step strategy: Firstly, we establish a stable quantum architecture that enables us to execute HQML algorithms on real quantum devices. Secondly, we introduce new hybrid quantum binary classifiers (HQBCs) based on Hoeffding decision tree algorithms. These algorithms speed up the process via batch-wise execution, reducing the number of shots required on real quantum devices compared to conventional loop-based optimizers. Their incremental nature serves the purpose of online large-scale data streaming for domain generation algorithm (DGA) botnet detection, and allows us to apply HQML to the field of cybersecurity analytics. We conduct our experiments using the Qiskit library with the Aer quantum simulator, and on three different real quantum devices from Azure Quantum: IonQ, Rigetti, and Quantinuum. This is the first time these tools are combined in this manner

Antimicrobial treatment of neonatal meningitis

Part two containing answers: https://doi.org/10.12968/jprp.2024.6.1.4