Abstract
Background
The recovery‐oriented care approach in mental health is recognised as the vision for mental health. People with a diagnosis of mental illness value the support and the ...individualistic approach emphasised in the recovery‐oriented mental health care approach as they believe it facilitates their recovery. However, as a developing country, Botswana has a long way to go in availing mental health care resources to people with mental illness, let alone adopting new mental health approaches such as recovery.
Aim
The study aimed to explore the perceptions of nurses working in mental health care facilities of recovery‐oriented mental health care.
Methods
Four mental health facilities from Botswana consented to participate in the study. A descriptive qualitative approach was utilised to explore nurses' views on how they perceive recovery from mental illness. Thirty nurses participated in the focus group discussions across the four study sites. All participants consented to participate and to be recorded. Tesch's (in
Qualitative enquiry and research design: Choosing among five approaches
. 3th ed. SAGE, 2013:198) thematic analysis was used for this study.
Results
Three main themes were identified in participants' perceptions of recovery‐oriented care mental health: Recovery from mental illness is possible, the Meaning of recovery from mental illness and Factors facilitating recovery from mental illness.
Public Contribution
The study offers a perspective into how nurses perceive recovery‐oriented approaches from a developing country and add to the gap existing in recovery‐oriented mental health care approach from the African context.
Abstract
The IRAS Revised Bright Galaxy Sample (RBGS) comprises galaxies and unresolved mergers stronger than
S
= 5.24 Jy at
λ
= 60
μ
m with Galactic latitudes ∣
b
∣ > 5°. Nearly all are dusty ...star-forming galaxies whose radio continuum and far-infrared luminosities are proportional to their current rates of star formation. We used the MeerKAT array of 64 dishes to make 5 × 3 minutes snapshot observations at
ν
= 1.28 GHz covering all 298 southern (J2000
δ
< 0°) RBGS sources identified with external galaxies. The resulting images have
θ
≈ 7.″5 FWHM resolution and rms fluctuations
σ
≈ 20
μ
Jy beam
−1
≈ 0.26 K low enough to reveal even faint disk emission. The rms position uncertainties are
σ
α
≈
σ
δ
≈ 1″ relative to accurate near-infrared positions, and the image dynamic ranges are DR ≳ 10
4
: 1. Cropped MeerKAT images of all 298 southern RBGS sources are available in FITS format from
10.48479/dnt7-6q05
.
Line ratio diagnostics provide valuable clues as to the source of ionizing radiation in galaxies with intense black hole accretion and starbursting events, such as local Seyfert galaxies or galaxies ...at the peak of their star formation history. We aim to provide a reference joint optical and mid-IR line ratio analysis for studying active galactic nucleus (AGN) identification via line-ratio diagnostics and testing predictions from photoionization models. We first obtained homogenous optical spectra with the Southern Africa Large Telescope for 42 Seyfert galaxies with available
Spitzer
/IRS spectroscopy, along with X-ray to mid-IR multiband data. After confirming the power of the main optical (O
III
λ
5007) and mid-IR (Ne
V
14.3 μm, O
IV
25.9 μm, Ne
III
15.7 μm) emission lines in tracing AGN activity, we explored diagrams based on ratios of optical and mid-IR lines by exploiting photoionization models of different ionizing sources (AGN, star formation, and shocks). We find that pure AGN photoionization models are good at reproducing observations of Seyfert galaxies with an AGN fractional contribution to the mid-IR (5 − 40 μm) continuum emission larger than 50 per cent. For targets with a lower AGN contribution, even assuming a hard ionizing field from the central accretion disk (
F
ν
∝
ν
α
, with
α
≈ −0.9), these same models do not fully reproduce the observed mid-IR line ratios. Mid-IR line ratios such as Ne
V
14.3 μm/Ne
II
12.8 μm, O
IV
25.9 μm/Ne
II
12.8 μm, and Ne
III
15.7 μm/Ne
II
12.8 μm show a dependence on the AGN fractional contribution to the mid-IR, unlike optical line ratios. An additional source of ionization, either from star formation or radiative shocks, can help explain the observations in the mid-IR. While mid-IR line ratios are good tracers of the AGN activity versus star formation, among the combinations of optical and mid-IR diagnostics in line-ratio diagrams, only those involving the O
I
/H
α
ratio are promising diagnostics for simultaneously unraveling the relative roles of AGN, star formation, and shocks. A proper identification of the dominant source of ionizing photons would require the exploitation of analysis tools based on advanced statistical techniques as well as spatially resolved data.
Infection prevention and control (IPC) programmes were introduced to combat healthcare-associated infections and antimicrobial resistance and to facilitate the implementation of IPC measures. The ...implementation of policies and guidelines results in effective service delivery.
The purpose of the study was to explore nurses' experiences and perceptions regarding the impediments to implementing the IPC measures.
The study was conducted in three public hospitals in Gauteng Province, South Africa.
A qualitative exploratory design was used, and 49 nurses were purposively selected from three public hospitals to understand their experiences and perceptions regarding the impediments to implementing the IPC measures. Five focus group discussions were conducted using semi-structured interviews. Tesch's eight steps method was used to analyse data resulting in three main themes and seven sub-themes.
Three main themes emerged. Nurses experienced challenges regarding knowledge and attitudes towards IPC measures, inadequate hospital infrastructure and lack of management support.
The lack of infection prevention control knowledge, infrastructure and management support impede the implementation of IPC measures. Consistent support in terms of training, resources and infrastructure is essential for implementing the measures.
The findings in this study will empower the nurses, doctors and managers with knowledge in implementing IPC measures to improve the infection prevention programme.
The goal of this work is to develop accurate Machine Learning (ML) models for predicting the assembly axial neutron flux profiles in the SAFARI-1 research reactor, trained by measurement data from ...historical cycles. Affinity Propagation and k-means algorithms are used to identify clusters in the set of measured axial neutron flux profiles. Pair-counting-based and information-theoretic measures are applied to compare the clusterings. Deep Neural Network (DNN) and Gaussian Process (GP) ML models are then trained for different clusters, with prediction uncertainties quantified with the Monte Carlo Dropout. The proposed procedure improves the prediction accuracy for the control assemblies and reduces the prediction uncertainty, with axial flux shapes predicted by DNN and GP being very close and the overall accuracy becoming comparable to the fuel assemblies.
•Machine Learning models for predicting the axial neutron flux profile are developed.•Models are trained with measured data from historical cycles of SAFARI-1 reactor.•Clustering algorithms are used to identify flux shape clusters in the dataset.•DNN and GP model are trained for each cluster and prediction uncertainty quantified.•The proposed procedure improves the prediction accuracy and reduces the uncertainty.
In this study, Deep Neural Networks (DNNs) are used to predict the assembly axial neutron flux profiles in the SAFARI-1 research reactor, with quantified uncertainties in the DNN predictions and ...testing using data from cycles that are unseen in the training process. The training dataset consists of copper-wire activation measurements from the reactor’s historical cycles. Uncertainty Quantification of the regular DNN models’ predictions is performed using Monte Carlo Dropout (MCD) and Bayesian Neural Networks solved by Variational Inference (BNN VI). The regular DNNs, DNNs solved with MCD and BNN VI results agree very well with each other and with the new measured dataset not used in the training process, thus indicating good prediction and generalization capability. The uncertainty bands produced by MCD and BNN VI agree very well and fully envelop the noisy measurement data points.
•Deep Neural Networks are trained using SAFARI-1 research reactor measurement data.•Deep Neural Networks models predict assembly axial neutron flux profiles.•Model uncertainty quantified with Monte Carlo Dropout and Bayesian Neural Network.•Model hyperparameter optimization is performed using Random Search and Grid Search.
Line ratio diagnostics provide valuable clues on the source of ionizing radiation in galaxies with intense black hole accretion and starbursting events, such as local Seyfert or galaxies at the peak ...of the star formation history. We aim to provide a reference joint optical and mid-IR analysis for studying AGN identification via line ratios and testing predictions from photoionization models. We obtained homogenous optical spectra with the Southern Africa Large Telescope for 42 Seyfert galaxies with Spitzer/IRS spectroscopy and X-ray to mid-IR multiband data available. After confirming the power of the main optical (OIII) and mid-IR (NeV, OIV, NeIII) emission lines in tracing AGN activity, we explore diagrams based on ratios of optical and mid-IR lines by exploiting photoionization models of different ionizing sources (AGN, star formation and shocks). We find that pure AGN photoionization models are good at reproducing observations of Seyfert galaxies with an AGN fractional contribution to the mid-IR (5-40 micron) emission larger than 50 per cent. For targets with a lower AGN contribution these same models do not fully reproduce the observed mid-IR line ratios. Mid-IR ratios like NeV/NeII, OIV/NeII and NeIII/NeII show a dependence on the AGN fractional contribution to the mid-IR unlike optical line ratios. An additional source of ionization, either from star formation or radiative shocks, can help explain the observations in the mid-IR. Among combinations of optical and mid-IR diagnostics in line ratio diagrams, only those involving the OI/Halpha ratio are promising diagnostics for simultaneously unraveling the relative role of AGN, star formation and, shocks. A proper identification of the dominant ionizing source would require the exploitation of analysis tools based on advanced statistical techniques as well as spatially resolved data.
The IRAS Revised Bright Galaxy Sample (RBGS) comprises galaxies and unresolved mergers stronger than \(S = 5.24\) Jy at \(\lambda = 60~\mu\mathrm{m}\) with galactic latitudes \(\vert b \vert > ...5^\circ\). Nearly all are dusty star-forming galaxies whose radio continuum and far-infrared luminosities are proportional to their current rates of star formation. We used the MeerKAT array of 64 dishes to make \(5 \times 3\) min snapshot observations at \(\nu = 1.28\) GHz covering all 298 southern (J2000 \(\delta < 0^\circ\)) RBGS sources identified with external galaxies. The resulting images have \(\theta \approx 7.5\) arcsec FHWM resolution and rms fluctuations \(\sigma \approx 20~\mu\mathrm{Jy~beam}^{-1} \approx 0.26\) K, low enough to reveal even faint disk emission. The rms position uncertainties are \(\sigma_\alpha \approx \sigma_\delta \approx 1\) arcsec relative to accurate near-infrared positions, and the image dynamic ranges are DR \(\gtrsim 10^4:1\).
The aim of the book is to assist both local and international scholars in articulating the scholarly discourse on indigenous health attitudes, practices, and experiences. The indigenous lens that was ...used to generate and disseminate indigenous knowledge in this book will strengthen indigenous scholarship, thus making it accessible to a wider audience. In addition, the information shared in this book will add value for scholars and assist them with the indigenous knowledge needed to address sustainable development goals. This book is timeous and topical as the discourse on the decolonisation of the curriculum is widely debated in the higher education space. The discourse on the scholarship of indigenous knowledge, as the tacit local knowledge that stems from cultural practices within communities, has not been well articulated in the current health science education milieu. Indigenous knowledge has remained overlooked and undermined for a very long time and the information remains untapped in local communities. The scholars who conducted the research on which this book is based unearthed a wealth of knowledge which was tacit in nature and translated it into implicit knowledge that can be documented and shared with other scholars globally. This knowledge will assist health care scholars in benefiting from knowledge, practices and cultural beliefs that will assist them in health care planning, teaching, evidence-based practice and further research.
The demand on the availability of irradiation positions in the SAFARI-1 reactor is continuously increasing due to the commercial pressure to produce isotopes more efficiently. This calls for ...calculational techniques and modeling methods to be improved regularly to optimize irradiation services. The irradiation position models are improved using the OSCAR-3 code system, and results are compared to experimental measurements. It is concluded that the irradiation position models are essential if realistic core follow and reload studies are to be performed and most importantly, for the realization of improved agreement between experimental data and calculated results.
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