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Lifelong dietary protein restriction induces denervation and skeletal muscle atrophy in mice
Get PDF© 2024 The Authors. Published by Elsevier Inc.As a widespread global issue, protein deficiency hinders development and optimal growth in offspring. Maternal low-protein diet influences the development of age-related diseases, including sarcopenia, by altering the epigenome and organ structure through potential increase in oxidative stress. However, the long-term effects of lactational protein restriction or postnatal lifelong protein restriction on the neuromuscular system have yet to be elucidated. Our results demonstrated that feeding a normal protein diet after lactational protein restriction did not have significant impacts on the neuromuscular system in later life. In contrast, a lifelong low-protein diet induced a denervation phenotype and led to demyelination in the sciatic nerve, along with an increase in the number of centralised nuclei and in the gene expression of atrogenes at 18 months of age, indicating an induced skeletal muscle atrophy. These changes were accompanied by an increase in proteasome activity in skeletal muscle, with no significant alterations in oxidative stress or mitochondrial dynamics markers in skeletal muscle later in life. Thus, lifelong protein restriction may induce skeletal muscle atrophy through changes in peripheral nerves and neuromuscular junctions, potentially contributing to the early onset or exaggeration of sarcopenia.Biotechnology and Biological Sciences Research Council (BB/P008429/1 & BB/W018276/1. U.E); Turkish Embassy in London; MRC-Versus Arthritis Centre for Integrated research into Musculoskeletal Agein
Mental health and public health: Improving mental health and well-being of communities in the modern world: A pragmatic approach using the Global Mental Health Assessment Tool/PC
Get PDF© 2023 World Social Psychiatry | Published by Wolters Kluwer - MedknowThe World Health Organization report of 2022 on mental health highlights the slow progress in reducing the treatment gap for people with mental illness worldwide. It emphasizes that everyone should participate in improving the mental health and well-being of the communities. The governments should put their act together and all agencies should work in coordination to address the mental health needs of their population. They should also focus on mental health promotion, early intervention, and prevention of suicide. The Mental Health Action Plan 2013–2030 outlines the importance of leadership and governance for mental health in providing comprehensive, integrated, and responsive mental health and social care services in community-based settings. Stigma, human resource shortages, fragmented service delivery models, and poor commitment of authorities for mental health are some of the factors for the ongoing service gap in mental health. Providing mental health knowledge and assessment skills to frontline workers, supporting frontline workers by mental health specialists using their leadership skills, and fully utilizing mobile and Internet technology in providing education and training as well as providing services could bring down the treatment gap of mental disorders worldwide. The Global Mental Health Assessment Tool for Primary Care and General Health Setting (GMHAT/PC)-based training package has been developed and successfully implemented in training frontline health workers in different parts of the word. The authors propose that this may be a pragmatic way to integrate mental health in public health by skilling frontline workers in assessing mental health along with physical health and by providing holistic care.UnfundedHD record pushed late into CR. VoR uploaded to CR 22/11/202
Exploring puffed rice as a novel Ink for 3D food printing: Rheological characterization and printability analysis
Get PDFThis study introduces a novel approach by using puffed rice (PR) as a sustainable and innovative ink for 3D food printing. Due to gelatinization and dextrinization, PR saw notable water absorption and solubility gains, with a modest viscosity uptick from 39.2 to 49.9 RVU, sharply contrasting Native rice (NR)'s jump from 128.9 to 167.8 RVU, emphasizing PR's minimal retrogradation. Gelatinized rice (GR) demonstrates similar stability in viscosity changes as PR, yet it requires more water and extended processing times for gelatinization. Conversely, PR's puffing process, which eliminates the need for water, offers quicker preparation and notable environmental benefits. Rheological analysis at 25% PR concentration reveals an optimal balance of viscosity (η, 897.4 Pa s), yield stress (τy, 2471.3 Pa), and flow stress (τf, 1509.2 Pa), demonstrating superior viscoelastic properties that facilitate enhanced printability and shape fidelity. Texture Profile Analysis outcomes reveals that PR significantly enhances key textural properties including hardness, adhesiveness, and springiness at this specific concentration. These findings highlight PR's potential as an eco-friendly and efficient ink choice for 3D-printed food products, providing enhanced performance and sustainability compared to GR and NR.Research Program for Agricultural Science & Technology Development (Project No. PJ01728201); National Institute of Agricultural Science, Rural Development Administration, Republic of Korea
FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model
Get PDFThis version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-981-99-7814-4_40]. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.In daily life, fire threats result in significant costs on the ecological, social, and economic levels. It is essential to outfit the assets with fire prevention systems due to the sharp rise in the frequency of fire mishaps. To prevent such mishaps, several studies have been conducted to develop optimal and potent fire detection models. While the earliest methods were thermal/chemical in nature, image processing was later applied for identification of fire. More recent methods have taken advantage of the significant advancements in deep learning models for computer vision. However, in order to maintain a suitable inference time (leading towards real-time detection) and parameter count, the majority of deep learning models have to make trade-offs between their detection speed and detection performance (accuracy/recall/precision). The very lightweight convolution neural network we offer in this paper is specifically designed for the fire detection use case. The proposed model can be embedded in real-time fire monitoring equipment and could also prove potentially useful for future fire monitoring methods such as unmanned aerial vehicles (drones). By further diminishing the trainable parameter count of the model, the fire detection results obtained using the proposed FireNet-Tiny significantly outperform the prior low parameter count models. When tested against FireNet dataset, FireNet-Tiny, which only comprises 261,922 parameters, was shown to have an overall accuracy of 95.75%. In comparison, FireNet-v2 provided 94.95% accuracy with 318,460 parameters
Broadening Placement Opportunities for Nursing Students through an Indirect Supervision Model
Get PDFBackground: Higher Education Institutions struggle to fill national deficits in student placement capacity, especially in social care and the voluntary sector. The Indirect Placement Supervision and Assessment Model and its holistic focus helps redress this deficit.
Methods: A Microsoft Forms survey was distributed to a self-selecting sample of 50 students, placement providers, and university staff, all of whom had been involved in indirect supervision as either an assessor, student, or supervisor.
Results: Three key themes emerged from the data collected; responses suggested that the model generated greater placement variety, increased placement capacity, and brought about reciprocal gains in the learner-supervisor matrix.
Conclusion: The study’s key implication for healthcare institutions pertains to the study’s strong evidence base that the indirect supervision model providing an efficient means of broadening nursing placement variety and capacity alike
Reducing the carbon footprint of the textile sector: an overview of impacts and solutions
Get PDFThis document is the Accepted Manuscript version of a published work that appeared in final form in [Textile Research Journal]. To access the final edited and published work see http://dx.doi.org/10.1177/00405175241236971The clothing, footwear, and household textiles sectors play a significant role, providing employment opportunities on a global scale. However, they are also associated with a considerable consumption of natural resources, leading to high levels of water pollution and emissions of greenhouse gases, contributing to climate change. The carbon footprint (CF) of textiles depends generally on fabric types and production processes. Natural fibers such as cotton, wool, and silk, generally have a lower CF when compared to synthetic fabrics such as polyester and nylon, requiring more energy and chemicals during production. In addition, fabrics manufactured through eco-friendly methods, such as closed-loop systems and sustainable production processes, have a significantly lower CF than those produced using conventional means. Accordingly, there is a perceived need for comprehensive studies that investigate the environmental and climate implications of the textile sector. Considering these concerns, a study was undertaken on the topic, encompassing a literature review and data collection so as to present an overview of the environmental impacts and CF associated with the textile sector. The results from the research show that the resource consumption associated with the textile sector, particularly its CF, demands urgent action in order to reduce its impacts. Also, actionable measures are needed so as to reduce the CF of the textile industry. These are described in the paper, along with the obstacles that need to be overcome so as not only to reduce the CF of this sector, but also to pursue the objectives outlined in the sustainable development goals
Integrating modelling-based and stakeholder-focused scenario approaches to close the planning gap and accelerate low-carbon transitions
Get PDFWhile many transition scenarios describe potential low-carbon systems, few link these system-level outcomes to the microlevel stakeholder decision-making needed to actualise them, resulting in a ‘planning gap’. Closing this gap requires that insights from modelling-based transition scenarios on what must happen to achieve climate targets are linked to those on how to make it happen from stakeholder-focused transition scenarios. This link requires a different understanding of decision-making rationality from that of a representative agent with rational expectations, as employed in much climate-change modelling currently. Rationality conceived as ‘frame-sensitive reasoning’ can better account for heterogenous stakeholders’ alternative preferences, the actions they take in pursuit of them, and the effect of these actions on low-carbon transitions. This paper augments the Intuitive Logics (IL) stakeholder-focused scenario approach to enable frame-sensitive reasoning and provide modelling-based transition scenarios with realistic innovation-diffusion assumptions. In so doing, the paper assists in closing the planning gap
Re-visiting the Leadership Gap: How to lead in a task-focused work system.
Get PDFCopyright (c) 2024 Helen Turnbull, Liam MurphyThe organisational focus on workplace automation is fuelling the evolution of the labour market towards task focused work systems, and an emerging gig economy. This evolution creates new demands on organisational leaders to introduce flexible and agile management techniques, whilst maintaining a strategic focus on upskilling and reskilling their employees for a digitalised world. We revisit our previous GJSD paper, “Mind the leadership gap”, to further emphasise these aspects of the changing work environment and introduce 1. Their potential influence on organisational belonging, and 2. The resultant impact on leadership styles and skills. This paper presents a short synthesis of the complex challenges faced by leaders within such an operating environment. This is followed by four further proposals for the future research agenda along with two suggested research methods which enhance our previous call to action on the leadership gap.Unfunde
Dissolving microneedle system containing Ag nanoparticle-decorated silk fibroin microspheres and antibiotics for synergistic therapy of bacterial biofilm infection
No full textMost cases of delayed wound healing are associated with bacterial biofilm infections due to high antibiotic resistance. To improve patient compliance and recovery rates, it is critical to develop minimally invasive and efficient methods to eliminate bacterial biofilms as an alternative to clinical debridement techniques. Herein, we develop a dissolving microneedle system containing Ag nanoparticles (AgNPs)-decorated silk fibroin microspheres (SFM-AgNPs) and antibiotics for synergistic treatment of bacterial biofilm infection. Silk fibroin microspheres (SFM) are controllably prepared in an incompatible system formed by a mixture of protein and carbohydrate solutions by using a mild all-aqueous phase method and serve as biological templates for the synthesis of AgNPs. The SFM-AgNPs exert dose- and time-dependent broad-spectrum antibacterial effects by inducing bacterial adhesion. The combination of SFM-AgNPs with antibiotics breaks the limitation of the antibacterial spectrum and achieves better efficacy with reduced antibiotic dosage. Using hyaluronic acid (HA) as the soluble matrix, the microneedle system containing SFM-AgNPs and anti-Gram-positive coccus drug (Mupirocin) inserts into the bacterial biofilms with sufficient strength, thereby effectively delivering the antibacterial agents and realizing good antibiofilm effect on Staphylococcus aureus-infected wounds. This work demonstrates the great potential for the development of novel therapeutic systems for eradicating bacterial biofilm infections
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