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Relationship between breastfeeding duration, lifestyle and obesity in children aged 3-16 years: a cross-sectional study
Get PDFIntroduction: Childhood obesity is emerging as an increasingly severe public health problem. Effective lifestyle and dietary interventions are urgently needed to prevent childhood obesity. The study explored the association of breastfeeding duration in early life and lifestyle habits with childhood obesity.Methods: A total of 541 children aged 3-16 at Suzhou Science and Technology City Hospital were included in this analysis. The participants were categorized into obesity group and non-obesity group. Assigned and calculated the score of lifestyle habits and the total score of lifestyle habits and breastfeeding. Logistic regression was used to analyze the risk of obesity with breastfeeding and/or lifestyle habits scores, and ROC curves were applied to evaluate the accuracy of the models. SHapley Additive exPlanation (SHAP) was used to explore the specified impact of variables.(1) The dietary habits of children with obesity were marked by consuming more meat-based foods, preferring heavier flavors food items, and having a habit of snacking before meals. (2) It is recommended that newborn be breastfed for 4 -12 months. (3) Healthy lifestyle habits and prolonged breastfeeding duration are both protective factors for childhood obesity respectively, and the synergistic impact is much more significant. Discussion: Prolonging breastfeeding duration appropriately and cultivating healthy dietary habits might contribute to prevention of childhood obesity
The light reactions of photosynthesis: monitoring pathways, energy and photoprotection in greenhouse and crop studies
Get PDFPhotosynthesis by plants, algae and cyanobacteria uses energy from light to capture atmospheric CO2 and synthesise carbohydrates. The biochemistry of the light-dependent reactions of photosynthesis involves high energy, reactive intermediates which must be carefully controlled, and the photosynthetic machinery repaired, as these routinely cause damage to the proteins of the photosynthetic apparatus. The focus of this review is the energetic- and molecular mechanisms by which oxygenic photosynthesis is regulated, and how the safe operation of complex assemblies of membrane proteins is managed under fluctuating light conditions. The advent of low cost, portable fluorimeters suitable for greenhouse and field use has accelerated plant phenotyping studies: the information that can be provided by them is presented here using examples from crops in controlled environments. Data here, from growth houses on which opaque or coloured, semi-transparent photovoltaic panels were crops grown under contrasting light wavelengths, are used to installed, illustrate the biochemical- and biophysical parameters that can be used to interpret plant photosynthetic processes and their regulation
Aligning principles through an Ordonomic perspective: students as partners in the landscape of Responsible Management Education
No full textIn this chapter, we seek to explore how does adopting SaP approach enhance the institutionalisation of the PRME in higher education. We employ the ordonomic framework and collective autoethnography to contextualise the concept of Students-as-Partners (SaP) within the context of the United Nation’s Principles for Responsible Management Education (PRME) initiative. In doing so, this chapter sheds light on responsible education in praxis and introduces a point of departure for business schools to empower students to become future leaders of responsible and sustainable social change. We contend that by restructuring in-class dynamics, educators can better position students to draw on their lived experiences, guide the proliferation of educational content suited to meet the needs of the twenty-first century economy, and in doing so, set the foundation for wider institutional change
Multi-modal graph neural networks for colposcopy data classification and visualization
Get PDFBackground: Cervical lesion classification is essential for early detection of cervical cancer. While deep learning methods have shown promise, most rely on single-modal data or require extensive manual annotations. This study proposes a novel Graph Neural Network (GNN)-based framework that integrates colposcopy images, segmentation masks, and graph representations for improved lesion classification.
Methods: We developed a fully connected graph-based architecture using GCNConv layers with global mean pooling and optimized it via grid search. A five-fold cross-validation protocol was employed to evaluate performance before (1–100 epochs) and after fine-tuning (101–151 epochs). Performance metrics included macro-average F1-score and validation accuracy. Visualizations were used for model interpretability.
Results: The model achieved a macro-average F1-score of 89.4% and validation accuracy of 92.1% before fine-tuning, which improved to 94.56% and 98.98%, respectively, after fine-tuning. LIME-based visual explanations validated models focus on discriminative lesion regions.
Conclusions: This study highlights the potential of graph-based multi-modal learning for cervical lesion analysis. Collaborating with the MNJ Institute of Oncology, the framework shows promise for clinical use
Developing innovation capabilities through programme communities of practice: evidence from Wales
Get PDFThis paper presents empirical evidence on how publicly funded programme communities of practice (CoPs) enhance learning and innovation activities at the organisational and inter-organisational level, which in turn develop organisation's innovation capabilities. It draws upon studies on two programme CoPs in Wales and presents eight case studies. Findings reveal, firstly, that CoP can promote the learning of new tools, knowledge, and technologies to encourage product and service innovation. Secondly, CoPs can promote innovative solutions to common challenges, such as implementing circular economy principles. Thirdly, CoP can facilitate collaborative inter-organisation innovation. Our paper answers the recent call for empirical research on the role of publicly funded collaborative projects that support business to innovate. It also expands the understanding of adopting CoP for management education. Practically the framework we developed can guide policy makers and practitioners on how universities can share risk, knowledge, and support organisations to develop their innovation capabilities and achieve sustainable development
The British Psychological Society statement on unconscious bias training
No full textBriefing Paper - No Abstract Available
An optimisation tool for strategic planning of multiple downgraded market levels in circular supply chain management
Get PDFRecent legislation promotes the adoption of Circular Economy principles in supply chain design, to encourage reuse, remanufacture, and recycle end-of-life products. An efficient circular supply chain design can improve resource efficiency, extend product lifecycles, and reduce waste, providing competitive advantages while contributing to sustainability goals. This study develops a bi-objective mixed-integer linear programming model to optimise strategic decisions in circular supply chain design, including activation of downgraded market levels, facility locations, and product flows. The model also accounts for the impact of cannibalisation between new and recovered product demand. The improved version of the augmented epsilon-constraint method (AUGMECON2) is applied to solve the model. Numerical experiments and sensitivity analyses validate the performance of the model and provide managerial insights to practitioners. The results demonstrate the potential of the model to support strategic decision-making and enhance circular supply chain effectiveness
Restrictive measures and course of behavioral outcomes in representative adult Greek population during the COVID-19 pandemic: Results on functioning, coping, alcohol/substance abuse, smoking, gambling, pro-social activities and domestic violence from the largest multi-wave COVID-19 online national survey in Greece (COH-FIT)
Get PDFBackground
Greece encountered unique COVID-19-pandemic-related challenges, shaped by the country's previous deleterious economic context, an already strained healthcare system and possibly one of Europe’s earliest, longest and most stringent restrictive protocols. Objectives: To offer comprehensive insights into the longitudinal trajectory of a broad range of behavioral and coping parameters within general adult Greek population across the first two pandemic waves.
Methods
Multiple-wave, cross-sectional data from the “Collaborative Outcomes study on Health and Functioning during Infection Times” (COH-FIT) assessed four different time points in order to examine outcomes changes from retrospective, pre-pandemic baseline ratings (T0) to three distinct intra-pandemic time points (lockdown 1: T1, between lockdowns: T2, lockdown 2: T3). Outcomes included functioning, subjective resilience, tobacco/alcohol/cannabis/substance consumption, gambling, domestic violence, time spent in different activities, importance of coping strategies and prosocial activity.
Results
We overall evaluated 10,377 participant responses, including 2,737 representative-matched participants across T1-T3 (T1: 3,940/887, T2: 4,675/997, T3: 1,668/853 convenience/representative-matched participants). All subjects provided retrospective rating on T0. Results suggest a highly significant pre- to intra-pandemic (T0 vs. T1-T3) drop in functioning and resilience scores. Tobacco, alcohol and cannabis consumption increased from pre- to intra-pandemic each at different pandemic phases. Gambling scores were overall very low and decreased from pre- to all intra-pandemic time-points. Domestic violence showed only an early transient increase (T1), returning to pre-pandemic levels. Individuals spent significantly more hours in social media, internet, gaming, TV, reading, music intra- than pre-pandemic, with the exception of exercise. Highest-rated coping strategies were exercise/walking, internet use, meaningful hobby, social media use and studying/learning. Most results showed notable changes across the assessed intra-pandemic time frames (T1, T2, and T3) normally with lockdowns negatively affecting behavioral and coping strategies (e.g., lower functioning/resilience scores in lockdown T1 and T3 than in T2), suggesting a substantial effect of quarantine lockdown status on many behavioral parameters. Conclusions: This is the most extensive multi-wave report on behavioral responses and coping mechanisms across pandemic restriction phases in Greece and can inform national policy towards the enhancement of healthy coping and resilience in similar future conditions
Facilitating an action learning community of practice in the delivery of an interprofessional education programme in care homes
Get PDFThis paper presents insights into the experiences of supporting Action Learning Communities of Practice to deliver an interprofessional training scheme in care homes for older people. It draws on original interview data with facilitators in which they discussed their experiences of taking part in Action Learning Community of Practice sets held over separate cycles of a longitudinal study. The role of facilitators on interprofessional education programmes delivered in the care home sector receives little attention despite its potential to build capacity, resilience and the sustainability of interprofessional education. This paper presents novel insights into how care home staff, supported by academics, can successfully transition into facilitator roles through legitimate peripheral participation to ensure the long-term sustainability and resilience of interprofessional training schemes. Used in the delivery of student training in the care home sector, and with appropriate facilitation, Action Learning Communities of Practice can be beneficial to care home staff, service delivery and care quality
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