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Nutrition education is crucial for improving nutritional knowledge. This study aims to evaluate the impact of healthy nutrition education on hedonic hunger, adherence to the Mediterranean diet, and self-efficacy for healthy eating among early adolescence. This one-group, pre-test-post-test, quasi-experimental study included 202 middle-school students. Data were collected using a researcher-designed survey that included demographic variables, the Children’s Power of Food Scale (CPOF-S), the Self-Efficacy for Healthy Eating Scale (SEHE-C), the Mediterranean Diet Score (KIDMED), and the Brief Nutritional Knowledge Assessment Form. Anthropometric measurements (weight, height, waist circumference, hip circumference, and neck circumference) were also taken. After the pre-test, each student received two hours of healthy nutrition education. A follow-up survey was administered four weeks later. The study revealed that most early adolescents exhibited unhealthy dietary habits, such as skipping main meals (15.3% all the time and 60.2% occasionally), snacking on sweet treats (33.3%), and having irregular eating patterns (47.4%). Additionally, the early adolescents had higher weights, body mass index (BMI), neck circumferences, and heights compared to reference values (p<0.01). Significant changes were observed post-intervention: lower hedonic hunger scores (beginning: 2.90±0.68, follow-up: 2.70±0.76, p<0.01), decreased self-efficacy for healthy eating (beginning: 5.41±3.50, follow-up: 4.33±3.61, p<0.01), and increased knowledge about healthy nutrition (beginning: 67.23±14.39, follow-up: 80.00±17.22, p<0.01). This study highlighted that healthy nutrition education enhances nutritional knowledge and decreases hedonic dietary tendencies among early adolescents. Continued nutrition education may further improve children’s preferences for healthy foods.
This paper presents the design, implementation, and characterization of a compact two-stage analog phase-shifter for the Ka-band, based on thin-film technology. The design utilizes a reflective-type configuration, employing four metal-insulator-graphene diodes as reflective loads. The fabricated prototype is realized on an 8-µ m-thick flexible polyimide substrate and occupies less than 0.7 mm2 of chip area including the contact pads. Performance evaluation of the fabricated circuit reveals an S11 of better than −13 dB and an S21 of −3.3 dB with a tolerance of ± 0.5 dB across the frequency band from 28 to 36 GHz, along with a tunable phase difference ($\Delta\phi$) exceeding 70∘. The introduced flexible thin-film technology promotes the realization of flexible cost-effective beam steering for smart surfaces implementations for communication and biomedical applications.
The advent of new technologies, particularly artificial intelligence (AI), has expanded the array of options and enhanced performance in addressing biothreats. This article provides a comprehensive overview of the specific applications of AI in addressing biothreats, aiming to inform and enhance future practices. Research indicates that AI has significantly contributed to infectious disease surveillance and emergency responses, as well as bioterrorism mitigation; despite its limitations, it merits ongoing attention for further study and exploration. The effective deployment of next-generation AI in mitigating biothreats will largely hinge on our ability to engage in continuous experiential learning, acquire high-quality data, refine algorithms, and iteratively update practices. Meanwhile, it is essential to assess the operational risks associated with AI in the context of biothreats and develop robust solutions to mitigate potential risks.
Synthetic-aperture radar images and mesoscale models show that wind-farm wakes differ from single-turbine wakes. For instance, wind-farm wakes often narrow and do not disperse over long distances, contrasting the broader and more dissipating wakes of individual turbines. In this work, we aim to better understand the mechanisms that govern wind-farm wake behaviour and recovery. Hence we study the wake properties of a $1.6$ GW wind farm operating in conventionally neutral boundary layers with capping-inversion heights $203$, $319$, $507$ and $1001$ m. In shallow boundary layers, we find strong flow decelerations that reduce the Coriolis force magnitude, leading to an anticlockwise wake deflection in the Northern Hemisphere. In deep boundary layers, the vertical turbulent entrainment of momentum adds clockwise-turning flow from aloft into the wake region, leading to a faster recovery rate and a clockwise wake deflection. To estimate the wake properties, we propose a simple function to fit the velocity magnitude profiles along the spanwise direction. In the vertical direction, the wake spreads up to the capping-inversion height, which significantly limits vertical wake development in shallow-boundary-layer cases. In the horizontal direction and for shallow boundary layers, the wake behaves as two distinct mixing layers located at the lateral wake edges, which expand and turn towards their low-velocity side, causing the wake to narrow along the streamwise direction. A detailed analysis of the momentum budget reveals that in deep boundary layers, the wake is predominantly replenished through turbulent vertical entrainment. Conversely, in shallow boundary layers, wakes are mostly replenished by mean flow advection in the spanwise direction.
Bubble–particle collisions in turbulence are key to the froth flotation process that is widely employed industrially to separate hydrophobic from hydrophilic materials. In our previous study (Chan et al., 2023 J. Fluid Mech.959, A6), we elucidated the collision mechanisms and critically reviewed the collision models in the no-gravity limit. In reality, gravity may play a role since, ultimately, separation is achieved through buoyancy-induced rising of the bubbles. This effect has been included in several collision models, which have remained without a proper validation thus far due to a scarcity of available data. We therefore conduct direct numerical simulations of bubbles and particles in homogeneous isotropic turbulence with various Stokes, Froude and Reynolds numbers, and particle density ratios using the point-particle approximation. Generally, turbulence enhances the collision rate compared with the pure relative settling case by increasing the collision velocity. Surprisingly, however, for certain parameters the collision rate is lower with turbulence compared with without, independent of the history force. This is due to turbulence-induced bubble–particle spatial segregation, which is most prevalent at weak relative gravity and decreases as gravitational effects become more dominant, and reduced bubble slip velocity in turbulence. The existing bubble–particle collision models only qualitatively capture the trends in our numerical data. To improve on this, we extend the model by Dodin & Elperin (2002 Phys. Fluids14, 2921–2924) to the bubble–particle case and found excellent quantitative agreement for small Stokes numbers when the history force is negligible and segregation is accounted for.
Research informed by sociological neoinstitutionalism often frames organizational reactions to legal norms as either loose coupling, where formal legal commitments are only weakly aligned with actual practices, or tight coupling, where strong internal or external compliance pressures drive close alignment. This article introduces a third pattern – contentious coupling – where some organizational members attempt to realign practices with legal commitments, but these very efforts provoke pushback from others, resulting in substantive yet constrained success. This paradox is key to understanding the widespread yet limited effects of legal rights. I illustrate contentious coupling by examining how international human rights law has shaped solitary confinement reform in Taiwan. While hierarchical enforcement led by rights advocates and policymakers has successfully reduced prolonged solitary confinement, it has also alienated frontline correctional officers by triggering a sense of relative deprivation and perception of hypocrisy, encapsulated in their complaints of a “human rights upsurge.” In response, these officers engage in two forms of passive resistance – formalistic care and resistance spillover – both of which undermine the authority of human rights and hinder their capacity to transform correctional culture.
This study examined the motivational factors influencing African immigrants in New Zealand to become entrepreneurs and the factors that ensured their business success. Data were collected from 117 participants through survey questions employing the Qualtrics platform and its link was sent to participants in the Auckland region. Auckland was decided on for data collection, being the most populated city and the business nerve centre of New Zealand. The research was conducted using a descriptive and quantitative approach. From the analysis, the study found that passion for business entrepreneurship, flexibility, financial independence, generic independence, autonomy, and being one’s own boss are the most highly motivational factors for influencing African immigrants in New Zealand to opt for business ownership. The study also found that the six highest-rated reasons for African immigrants’ entrepreneurial business success in New Zealand were readiness to make sacrifices to succeed, always giving the best in everything that had to be done, the importance of action, a belief that everything is possible if the entrepreneur believes he/she can do it, the challenge of taking on new projects, and learning lessons from past failure. These findings are the most important factors helping African immigrant business owners in New Auckland Zealand to attain entrepreneurial and business success. This research maintains that the results shed light on why African migrants adopt business entrepreneurship and gear themselves up for success in New Zealand.
This work analyses the genetic potential of Stevia rebaudiana beyond its sweetening properties, aiming to reassess its conservation and utilization in breeding programmes. This focus is justified by the growing global demand for natural sweeteners and the challenges posed by extreme weather events and diseases affecting crop yield and quality. The relationship between the species’ genetic diversity and its response to biotic and abiotic stresses is explored, as well as the limitations of current conservation and breeding strategies. Findings reveal underutilized genetic resources, limited integration of genomic tools in breeding efforts and a lack of robust in situ conservation initiatives. Genotypic variability has been observed in response to diseases such as Septoria leaf spot, while abiotic factors, including salinity and drought, can significantly influence steviol glycoside content. It is concluded that an integrated approach, combining dynamic conservation, photoperiod‐informed breeding strategies, improvements in seed viability, omics‐based tools and coherent public policies, is essential to ensure crop resilience and genetic sovereignty, especially in regions of origin such as Paraguay. The sustainable use of Stevia’s genetic diversity could foster more sustainable, healthier and fairer production systems.
Using a behavioural intervention to target nutrition during pregnancy may be key in meeting recommendations for healthy eating. The aim was to assess the use of a short-term dietary intake measurement tool (3-day food intake record) to infer long-term habitual dietary intake during pregnancy (using a short-form FFQ). A convenience sample (n 90) between 12- and 18-weeks’ gestation was recruited from a larger randomised controlled trial for cross-sectional analysis. Participants completed a forty-four-item FFQ and 3-day food intake record. Using the participant food intake record, the investigator blindly completed a second frequency questionnaire. The frequency questionnaires were scored using dietary quality scores (DQS) and compared. Aggregate data were evaluated using a Wilcoxon signed rank test, and individual-level data were evaluated using a Bland–Altman plot. No significant difference was observed in the scores (Z = –1·88, P = 0·06), with small effect size (r= 0·19). The Bland–Altman plot showed that comparing the DQS derived from the two different dietary assessments underestimated scores by a mean difference of 0·4 points (95 % limits of agreement: −3·50 to 4·26). The data points were evenly spread suggesting no systematic variation for over- or underestimation of scores. Minimal difference was observed between the functionality of the two assessment instruments. However, the food intake record can be completed by pregnant individuals to estimate short-term nutrient intake and then scored by the investigator to estimate long-term dietary quality. Combining these two instruments may best capture the most accurate representation of dietary habits over time.
Disasters can have catastrophic effects on people’s physical, mental, and psychosocial status, as well as public health. Many people undoubtedly suffer from short- and long-term disabilities as a result of the disaster once the first shock wears off [1]. Two devastating earthquakes caused extensive damage in southern and central Türkiye and northern and western Syria in February 2023, resulting in thousands of deaths and injuries. It is estimated that approximately 15 million people were affected. Since there is a possibility that people affected by the earthquake will continue their lives with disabilities, it is important to make an early assessment and make preliminary preparations in this respect. With this preparation and rehabilitation carried out in the early period, it is aimed at helping individuals adapt more quickly to both personal and social life and to increase their independence in daily life.
We propose CTREND, a new trend factor for cryptocurrency returns, which aggregates price and volume information across different time horizons. Using data on more than 3,000 coins, we employ machine learning methods to exploit information from various technical indicators. The resulting signal reliably predicts cryptocurrency returns. The effect cannot be subsumed by known factors and remains robust across different subperiods, market states, and alternative research designs. Moreover, it survives the impact of transaction costs and persists in big and liquid coins. Finally, an asset pricing model that incorporates CTREND outperforms competing factor models, providing a superior explanation of cryptocurrency returns.
Historical censuses have often served as valuable sources for understanding the past. Yet, their use as sources about women’s work has been highly debated. This article engages with the continuing debate regarding the reliability and validity of censuses by exploring significant potentials and issues of censuses’ information about women’s work. While recognizing a critical perspective on censuses’ information about women’s work, this article identifies the need for more careful and contextualized readings of censuses. To this end, it presents five novel analytical approaches that aim to enhance readings and interpretations of censuses. The approaches reveal the purposes, focuses, self-reflections, ambiguities, and evolving categorizations of censuses, respectively. Through analysis of Swedish census materials from 1910 to 1940, this article moreover demonstrates that historical census personnel engaged with women’s work in sophisticated ways and that censuses’ representations were complex. The article argues against dismissing censuses outright as a fruitful source about women’s work. Instead, it recommends leveraging their inherent qualities in new and creative ways. Though non-neutral by incorporating and disseminating ideas about gender, censuses can serve as rich historical sources about women’s work and societal roles when approached contextually in various ways. The article advocates for contextualized and historicized approaches to using census data, moving beyond simplistic labels to explore the complexities of these important historical sources.
This systematic review aims to identify the theoretical-based frameworks and content of disaster training programs for nurses worldwide.
Methods
This systematic review was conducted following the PRISMA guidelines across 5 databases: Web of Science, PubMed, CINAHL, Cochrane, and Google Scholar. Studies were selected on disaster training programs for nurses and published within the past decade.
Results
This systematic review analyzed 14 studies that utilized a variety of theoretical-based disaster nursing training programs. Among the theoretical frameworks identified, the International Council of Nurses (ICN) framework emerged as the most frequently applied, likely due to its global applicability and comprehensive approach in disaster training programs. In contrast, other frameworks—such as the Bioterrorism Guidelines and Infectious Disease Response Guidelines from the Korea Disease Control and Prevention Agency, the Malkina-Pykh Mixed Model, the World Health Organization (WHO) framework, and the National League for Nurses/Laerdal Simulation Model, and others—were each used only once.
Conclusions
These findings suggest the ICN framework’s potential to serve as a leading model for the development of future disaster training programs. Achieving an optimal balance of theory, practice, and evidence-based content is crucial for preparing nurses to respond effectively to disasters.
The offshoring-fuelled growth of the Central and Eastern European business services sector gave rise to shared service centres (SSCs) – quasi-autonomous entities providing routine-intensive tasks for the central organisation. The advent of technologies such as intelligent process automation, robotic process automation, and artificial intelligence jeopardises SSCs’ employment model, necessitating workers’ skills adaptation. The study challenges the deskilling hypothesis and reveals that automation in the Polish SSCs is conducive to upskilling and worker autonomy. Drawing on 31 in-depth interviews, we highlight the negotiated nature of automation processes shaped by interactions between headquarters, SSCs, and their workers. Workers actively participated in automation processes, eliminating the most mundane tasks. This resulted in upskilling, higher job satisfaction, and empowerment. Yet, this phenomenon heavily depends upon the fact that automation is triggered by labour shortages, which limit the expansion of SSCs. This situation encourages companies to leverage the specific expertise entrenched in their existing workforce. The study underscores the importance of fostering employee-driven automation and upskilling initiatives for overall job satisfaction and quality.
To investigate the association between Healthy Eating Index 2015 scores and hearing loss.
Methods
This study used cross-sectional data from individuals aged over 20 years (n = 5171) who participated in the National Health and Nutrition Examination Survey from 1999 to 2012 and from 2015 to 2018. Information was collected on their hearing, Healthy Eating Index 2015 scores, and several other important covariates using multivariate regression analyses.
Results
After adjusting for potential confounders, when hearing loss was defined as ≥20 dB, the odds ratios for low-frequency and high-frequency hearing loss were 0.99 (95 per cent confidence interval (CI) = 0.98−0.99, p < 0.001) and 0.99 (95 per cent CI = 0.98−1, p = 0.006), respectively. When hearing loss was defined as >25 dB, the odds ratios for low-frequency hearing loss and speech-frequency band hearing loss were 0.98 (95 per cent CI = 0.98−0.99, p < 0.001) and 0.99 (95 per cent CI = 0.98−1, p = 0.008), respectively.
Conclusion
In U.S. adults, the Healthy Eating Index 2015 is associated with hearing loss.
The impact of the self-sealing band on interior ballistics is investigated during the gun launching, and a high-precision interior ballistics coupling algorithm that takes leakage into account is proposed. This study focuses on a 65 mm short-barrel, equal-caliber balanced cannon, integrating Abaqus finite element software with an interior ballistics calculation programme. It uses a User-defined AMPlication Load (VUAMP) subroutine to achieve real-time coupling calculations of the chamber pressure and self-sealing band deformation, correcting variations in the chamber pressure. Experimental results show that the coupling algorithm offers the higher precision compared to traditional interior ballistics models and can effectively capture the impact of leakage on the interior ballistics performance. Further research reveals that changes in the charge amount and assembly gap significantly affect the sealing performance of the self-sealing band and the leakage of propellant gases, which in turn influence the chamber pressure and projectile velocity. The high-precision coupling algorithm proposed in this paper provides the effective theoretical support for the design of the self-sealing band and the analysis of cannon performance.