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Digital technologies provide a convenient and scalable approach to dietary assessment and personalised feedback, facilitating behaviour change. This is essential for reducing the prevalence of non-communicable diseases at a population level. However, the evaluation of the acceptability and feasibility of dietary feedback delivered via online platforms has not been thoroughly investigated. By utilising the term ‘system architecture’ to describe the essential components of the digital approach to capturing dietary feedback, this systematic review outlines the platform, dietary assessment methodology, reference values for assessing dietary intake, and elements of personalised dietary feedback. When reported, the acceptability and feasibility of personalised feedback were captured. OVID Medline, OVID Embase, Scopus via Elsevier, and Cinahl Plus via EBSCO identified 5,839 studies. Search terms included dietary assessment, feedback, and digital technologies. In total, 28 studies involving 301,271 participants were included. Food frequency questionnaires were the most commonly used dietary assessment method, accessed via web-based platforms. Dietary intake was commonly assessed using a diet quality index, and feedback was provided on food groups, often combined with a diet quality score or macronutrient analysis. While participant acceptance of personalised dietary feedback was generally high, the overall completion rates for acceptability questionnaires were low, and feasibility was seldom reported. Methods used to measure acceptability and feasibility varied, preventing comparisons across studies. Study quality was high; however, future research would benefit from the involvement of stakeholders and end-users in designing feedback messages.
Rough walls are commonly encountered in engineering applications. However, existing understanding of combustion in the turbulent boundary layer over rough walls is lacking. This study investigates turbulent boundary layer premixed flame flashback over rough walls using direct numerical simulations for the first time. The features of boundary layer flashback over walls with various roughness are explored in terms of flame morphology and flashback speed. It is found that the flame in rough-wall cases is more wrinkled compared with the smooth-wall case, particularly in the near-wall region, due to the presence of more small-scale vortical structures. Wall roughness reduces the flame flashback speed, which is attributed to the higher flow velocity at the leading edge of the flame front in rough-wall cases. The effects of wall roughness and combustion on boundary layer turbulence are revealed through two-point correlations of fluctuating velocity and wall resistance. The results show that, under non-reacting conditions, wall roughness reduces the streamwise and wall-normal extents of near-wall hairpin packets of boundary layer turbulence while increasing their inclination angles. Under reacting conditions, combustion further increases the inclination angle, with a more pronounced effect in rough-wall cases. Wall roughness influences wall resistance, primarily through its pressure component. Flame/wall interactions are also scrutinised, revealing higher wall heat loss in rough-wall cases, which is is mainly attributed to the increased wall surface area. A negative correlation between the quenching distance and the alignment of flame normal and wall normal is observed in rough-wall cases, which is weaker in smooth-wall cases.
This paper examines how public health promotion in colonial Australia figures the maternal body as an instrument for the production of whiteness for the perpetuation of the colonial state. In the context of a paradox between the institutional valuing of motherhood and institutional practices of systemic child removal and violence against women and mothers, I argue that public health promotion should be understood as a mechanism for the production of the white maternal body. I first establish the coloniality of public health promotion, arguing that its purpose is the production of bodies for the sake of colonial futurity, and that it so functions as a racializing code. Next, I offer a genealogical account in which the emergence of maternal subjectivity is shown to be the product of the colonial struggle for power; the white maternal body is thus produced through a schema of colonial mechanisms, among them the naturalization of sex, the feminization of the domestic sphere, the institutional establishment of the nuclear, heteroromantic family, and the British colonial notion of private property. I finally analyze how the white maternal body is subsequently materialized through the body’s own existential-temporal capacity for habituation.
Capacity assessments under the Mental Capacity Act 2005 (MCA) are a routine part of daily clinical practice in England and Wales. One element of these is the role of insight within the MCA’s capacity criteria. This article focuses on the issue of insight and capacity in a recent Court of Protection judgment, discussing how to assess insight in clinical practice and elucidating key issues regarding the role and assessment of insight within capacity assessments. The article includes a 10-point checklist for capacity assessments that was presented in the judgment, and a discussion of insight assessments that can guide documentation and be implemented in clinical practice.
The impact of guideline-directed medical therapy (GDMT) has not fully translated to decreases in the disproportionate rates of hospitalization and lengths of stay in African Americans with congestive heart failure (CHF). GDMT is optimized by registered nurses (RNs) and their use of clinical information. Yet, there are no instruments for measuring the influence of clinical information use and nursing care. The study assessed an instrument’s ability to measure the influence of RN performance of social, technical, and socio-technical care tasks on length of stay in the CHF hospitalizations of African Americans.
Methods:
A sample of 200 RNs, who cared for 5060 African Americans with 14,123 heart failure hospitalizations, were surveyed. Descriptive statistics, Cronbach’s alpha, and a generalized linear regression assessed the instrument’s reliability and predictive validity.
Results:
The Cronbach’s alpha was 0.95 (95% CI: 0.94–0.96). The corrected item-total correlations for the 22 items ranged from 0.44 to 0.80. For an increase of one to four points per item in a RN’s performance, the estimated reductions in the patient’s length of stay were 3.34% (6.11,0.5), 6.58% (11.84,1), 9.70% (17.22,1.49), and 12.72% (22.28,1.99), respectively (P = 0.004).
Conclusions:
Increases in a RN’s performance of social, technical, and socio-technical care tasks were significantly associated with clinically meaningful decreases in their patients’ length of stay. The instrument has strong potential for addressing the disproportionate impact of CHF by measuring and tailoring interventions to optimize nursing care and the use of clinical information in the provision and receipt of GDMT.
This randomised controlled trial examined the effect of a 4-week, high-dose (Lf-High, 600 mg/d) or low-dose (Lf-Low, 200 mg/d) oral lactoferrin (Lf) intervention v. placebo on immune cell responses to respiratory virus, immune cell subsets and systemic inflammation. In healthy older adults (n 103, ≥50 years old), ex vivo cytokine release of interferon (IFN)-α2, IFN-γ, IL-6 and TNF-α from rhinovirus A-16 (RV-16) or influenza A virus (H1N1) stimulated peripheral blood mononuclear cells, circulating immune cell subsets, and plasma IL-6, C-reactive protein (CRP) and TNF-α were assessed. Ninety-seven participants completed the 4-week intervention (Lf-High n 32, Lf-Low n 31, placebo n 34, withdrawals n 6). There was no difference in RV-16 or H1N1-induced IFN-γ release between groups. RV-16-induced IL-6 was lower in Lf-High v. placebo (P = 0·001), and RV-16-induced IFN-α2 was higher in Lf-High v. Lf-Low (P = 0·04). Lf-High increased total T cells (P = 0·03) and CD4+ T cells (P = 0·03) v. placebo. Lf-Low reduced neutrophil (P = 0·04), natural killer cell (P = 0·045), activated CD8+ T cell (P = 0·03) and γδ T cell (P = 0·03) frequency v. placebo. Plasma IL-6 (P = 0·004) and CRP (P = 0·03) were lower following Lf-High v. Lf-Low, but not placebo. Both high- and low-dose Lf altered ex vivo immune cell responses after 4 weeks. High-dose increased T-cell subsets, promoting adaptive immunity, and reduced systemic inflammation, while low-dose reduced proinflammatory and cytotoxic immune cells. High- and low-dose Lf supplements may have immunoceutical benefits in older adults.
Lactotransferrin (LTF), a critical multifunctional glycoprotein, plays an essential role in the immune defence, growth and development, and milk quality of dairy cows. The regulatory mechanisms governing gene expression are intricate, with sequence variations in the promoter region potentially exerting a substantial impact on gene expression. In this study, sequencing analysis of the bovine lactotransferrin promoter region was conducted, leading to the identification of two linked single nucleotide polymorphism (SNP) sites. A significant association between these SNPs and lactotransferrin content was observed in a cohort of 301 Holstein cows. Subsequently, further investigation into the transcriptional activity of various lactotransferrin genotypes was performed by constructing promoter fragments encompassing different lactotransferrin genotypes. The findings reveal that the two SNPs significantly influence the activity of the lactotransferrin promoter, thereby affecting lactotransferrin expression. These results hold substantial implications for advancing our understanding of the regulatory mechanisms underlying lactotransferrin expression and for the genetic enhancement of dairy cows.
A meta-analysis of diagnostic test accuracy (DTA) studies typically synthesizes study-specific test sensitivity ($Se$) and specificity ($Sp$) to quantify the accuracy of an index test of interest. The bivariate linear mixed effects model with logit transformation of $Se$ and $Sp$ (BLMM-Logit) is commonly used to make statistical inferences, but may lead to misleading results due to the need for Haldane–Anscombe correction and an approximate estimation of variance within the study. Alternative models based on the arcsine square root and Freeman–Tukey double arcsine transformation have been proposed to address these issues; however, they still rely on approximate variance estimation, which is suitable only for large sample sizes. The bivariate generalized linear mixed effects model (BGLMM) is another option, but it faces convergence issues with small meta-analyses or sparse primary studies. To address these limitations, we proposed an exact within-study variance calculation method that does not require Haldane–Anscombe correction and is applicable regardless of the transformation used or the number of studies and participants. We evaluated this method against existing approaches using real-life and simulated DTA meta-analyses. The methods were comparable for large meta-analyses. However, BLMM-Logit demonstrated substantial negative bias in estimating variances between studies and consistently underestimated summary $Se$ and $Sp$ in all simulation scenarios. In contrast, the proposed exact methods (Exact-Logit, Exact-ASR, and Exact-FTDA) and BGLMM had minimal bias and better performance metrics, particularly for meta-analyses with sparse primary studies. Thus, the proposed exact methods should be preferred for DTA meta-analyses with small or sparse studies.
We introduce the implied value premium (IVP), the difference between the implied costs of capital of value and growth stocks, to predict time variation in the ex post value premium. During 1977–2023, IVP is the strongest predictor of the ex post value premium. It also predicts the investment premium, consistent with the Investment CAPM. However, IVP’s ability to predict the difference in cumulative abnormal returns around quarterly earnings announcements of value and growth stocks suggests that mispricing may also play a role. Overall, our results suggest that recent value underperformance reflects cyclical variation rather than a permanent shift.
Forced displacement heightens mental health risks for children, including psychological, environmental and economic stressors, yet few interventions address whole-family needs within humanitarian contexts. Family-systemic approaches show promise, but evidence on interventions addressing social determinants of mental health remains limited. We will conduct a single-masked, two-arm randomised controlled trial with 550 families in East Amman, Jordan, to evaluate StrongerTogether, a modular whole-family intervention with a financial literacy component. Families experiencing multiple psychosocial challenges will be randomised 1:1 to receive the intervention or enhanced treatment as usual. The trial employs sequential dual outcomes testing, evaluating effectiveness through: (1) upstream improvements in at least one of three primary outcomes (family functioning, parenting practices and caregiver mental health) and (2) direct improvements in adolescent mental health among those with elevated baseline distress. We will also evaluate two implementation tools: ReachNow for family case detection and FamilyACT for facilitator competency assessment. A mixed-methods process evaluation will examine implementation, effectiveness and potential sustainability of core and optional modules. This will be the first rigorous evaluation of an integrated whole-family intervention addressing social and environmental determinants of mental health in humanitarian settings. Findings will inform evidence-based approaches to family mental health support and contribute validated tools for implementation at scale.
This paper presents an actively controllable nonreciprocal metasurface based on a ferrite–patch structure with PIN diodes for dynamic control. Two activation methods are investigated: (a) phase control, which enables a 30° transmission-phase shift while maintaining nonreciprocal behavior, and (b) ON–OFF control, which switches the response by altering the propagation path. The phase-control metasurface is analyzed using transmission-line theory, full-wave simulation, and experiments, showing good agreement across methods. The ON–OFF design is optimized to suppress bidirectional transmission when ON. Experimental results confirm strong nonreciprocity, though slight frequency shifts arise from FR4 variability, and a back-fitted simulation improves consistency. The proposed dual-control framework provides a compact and low-cost approach to reconfigurable nonreciprocal surfaces that retain the use of permanent magnets for ferrite bias and are applicable to microwave wireless systems, including adaptive isolation, interference control, and tunable shielding. The results demonstrate the feasibility of compact, reconfigurable nonreciprocal metasurfaces using simple biasing circuits and offer design insights for frequency-stable implementations.
The current study was designed to examine the association between a composite Healthy Lifestyle Score (HLS) and thyroid function biomarkers among American adults. This cross-sectional study utilized data from 5,693 adults aged ≥18 years in the NHANES 2007–2012 cycles. A HLS (range 0–6) was constructed based on six modifiable factors: non-smoking, no heavy alcohol intake, normal BMI (18.5–24.9 kg/m²), high physical activity (upper tertile of MET-min/week), adequate sleep (7–9 h/night), and appropriate energy intake. Serum concentrations of thyroid-stimulating hormone (TSH), free and total thyroxine (FT4, TT4), free and total triiodothyronine (FT3, TT3), thyroglobulin (Tg), and thyroid antibodies (TPOAb, TgAb) were measured. Multivariable linear regression adjusted for sociodemographic factors was used to assess associations. In fully adjusted models, each one-point increase in HLS was associated with lower serum FT4 (β = −0.07 ng/dL; 95% CI: −0.10, −0.03; p < 0.001) and TT4 (β = −0.11 µg/dL; 95% CI: −0.15, −0.06; p < 0.001). Compared with participants with an HLS of 0–1, those with HLS 4–6 had lower FT4 (β = −0.20; 95% CI: −0.30, −0.09; p < 0.001) and TT4 (β = −0.36; 95% CI: −0.49, −0.22; p < 0.001). Associations for other thyroid markers were not statistically significant after correction for multiple comparisons (p > 0.05). A healthier lifestyle is inversely associated with serum FT4 and TT4 levels, highlighting potential links between modifiable behaviors and thyroid physiology.
Assisted dying debates overlook the powerful unconscious forces that shape end-of-life decision-making. These dynamics influence personal, clinical and societal judgements and may be contributing to the rapid international expansion of assisted dying practices. Strengthening safeguards requires acknowledging these forces and integrating structured psychological assessment, clinician support and reflective practice to reduce unconscious bias and enhance the reliability, transparency and ethical integrity of decisions.
Early detection of respiratory decline is crucial in amyotrophic lateral sclerosis (ALS). We tested if nocturnal polysomnography (PSG) predicts dyspnea onset in mild ALS patients with preserved daytime function.
Methods:
In this study, 41 mild ALS patients (ALS Functional Rating Scale-Revised [ALSFRS-R] ≥ 37, sitting forced vital capacity [FVC] ≥80% predicted, no dyspnea) and 41 matched controls underwent baseline assessment, including ALSFRS-R scoring, pulmonary function tests, and overnight PSG. ALS patients were followed for 12 months. Baseline apnea–hypopnea index (AHI) and oxygen saturation (mean SpO2, minimum SpO2) were analyzed as continuous predictors and using exploratory thresholds (AHI ≥ 5 events/h, min SpO2 ≤ 88%, mean SpO2 ≤ 95%) for dyspnea onset (Dyspnea-ALS-15 [DALS-15] > 0).
Results:
Compared to controls, ALS patients had significantly higher AHI (p = 0.004) and lower minimum SpO2 (p = 0.018). The ALSFRS-R orthopnea subscore showed a significant positive correlation with mean and minimum SpO2 (P < 0.05). Cox regression identified baseline AHI (HR 1.08 per event/h; 95% CI 1.01–1.15, p = 0.028) and minimum SpO2 (HR 0.94 per %; 95% CI 0.88–0.99, p = 0.033) as independent predictors of dyspnea onset within 12 months. Thresholds AHI ≥ 5 (HR 2.28, p = 0.031) and min SpO2 ≤ 88% (HR 2.42, p = 0.027) also predicted increased risk. Patients meeting ≥1 threshold (n = 25/37) showed trends toward greater FVC and ALSFRS-R decline.
Conclusions:
In patients with mild ALS and normal daytime function, specific nocturnal PSG parameters (AHI, minimum SpO2) predicted the risk of dyspnea within 12 months. This longitudinal study provides novel evidence that PSG could identify early respiratory vulnerability in the incipient stage, earlier than conventional FVC-based monitoring, supporting its potential utility in refining early intervention strategies. Validation in larger cohorts is warranted.
Addressing and predicting degenerative phenomena in domains such as health care and engineering, two fundamental fields of vital importance for society, offers valuable insights into early warning steps and critical event forecasting, leading to far-reaching implications for safety and resource allocation. By harnessing the power of data-driven insights, prognostics becomes the principal component of predicting such phenomena. Developing clustering techniques as feature extractors acts as an intermediate step between the raw incoming data and prognostics and provides the opportunity to unveil hidden relationships within complex datasets. However, when limited, noisy, and multimodal data are available in a label-free format, extensive preprocessing, and unreliable, complicated models are required for extracting meaningful features. This prohibits the development of adaptable methods in diverse domains that are in favor of robustness and interpretability. In this regard, this study introduces a novel unsupervised deep clustering model for feature extraction in degenerative phenomena. The model innovatively extracts prognostic-related features from raw data via clustering analysis, characterized by an increasing monotonic behavior representing system deterioration. This monotonicity is partial rather than complete, to incorporate the potential occurrence of oscillations in the degradation trajectory of the system or noise-related data, reflecting real-world scenarios. Its performance, robustness, generalizability, and interpretability are evaluated across diverse domains utilizing three datasets from health care and engineering featuring limited, noisy, high-dimensional, and multimodal raw signals. Results show that the model extracts meaningful prognostic-related features in both domains and all datasets, without a significant alteration in its architecture and independently of the chosen prognostic algorithm.
On 28 August 2023, Canada amended and substantially narrowed its unilateral declaration accepting the compulsory jurisdiction of the International Court of Justice (ICJ). The combined effects of its various reservations — notably, Canada’s new requirement that states must have provided at least six-month advance written notice before instituting ICJ proceedings against it, coupled with its ongoing rights to amend or terminate its declaration with immediate effect — have now rendered Canadian acceptance of Optional Clause jurisdiction compulsory in name only. Canada now appears to control whether any future ICJ cases can ever be brought against it in this way.
The mixing mechanism within a single vortex has been a theoretical focus for decades, while it remains unclear especially under the variable-density (VD) scenario. This study investigates canonical single-vortex VD mixing in shock–bubble interactions (SBI) through high-resolution numerical simulations. Special attention is paid to examining the stretching dynamics and its impact on VD mixing within a single vortex, and this problem is investigated by quantitatively characterising the scalar dissipation rate (SDR), namely the mixing rate, and its time integral, referred to as mixedness. To study VD mixing, we first examine single-vortex passive-scalar (PS) mixing with the absence of a density difference. Mixing originates from diffusion and is further enhanced by the stretching dynamics. Under the axisymmetry and zero diffusion assumptions, the single-vortex stretching rate illustrates an algebraic growth of the length of scalar strips over time. By incorporating the diffusion process through the solution of the advection–diffusion equation along these stretched scalar strips, a PS mixing model for SDR is proposed based on the single-vortex algebraic stretching characteristic. Within this framework, density-gradient effects from two perspectives of the stretching dynamics and diffusion process are discovered to challenge the extension of the PS mixing model to VD mixing. First, the secondary baroclinic effect increases the VD stretching rate by the additional secondary baroclinic principal strain, while the algebraic stretching characteristic is still retained. Second, the density source effect, originating from the intrinsic nature of the density difference in the multi-component transport equation, suppresses the diffusion process. By accounting for both the secondary baroclinic effect on stretching and the density source effect on diffusion, a VD mixing model for SBI is further modified. This model establishes a quantitative relationship between the stretching dynamics and the evolution of the mixing rate and mixedness for single-vortex VD mixing over a broad range of Mach numbers. Furthermore, the essential role of the stretching dynamics on the mixing rate is demonstrated by the derived dependence of the time-averaged mixing rate $\overline {\langle \chi \rangle }$ on the Péclet number ${\textit{Pe}}$, which scales as $\overline {\langle \chi \rangle } \sim {\textit{Pe}}^{{2}/{3}}$.