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Search Results (3,327)

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Keywords = healthy environment

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19 pages, 8576 KiB  
Article
Occupational Risk Management Through the Lens of the Sustainable Development Goals (SDGs): An Integrated Approach to Promoting Sustainability in the Workplace
by Adriana Milea (Pârvu), Roland-Iosif Moraru and Lucian-Ionel Cioca
Sustainability 2025, 17(5), 1864; https://doi.org/10.3390/su17051864 (registering DOI) - 22 Feb 2025
Abstract
This study explores the link between the Sustainable Development Goals (SDGs) and the process of identifying and assessing occupational risks in industrial and organizational environments, highlighting the importance of these goals in promoting a safe, healthy, and sustainable work environment. In the center [...] Read more.
This study explores the link between the Sustainable Development Goals (SDGs) and the process of identifying and assessing occupational risks in industrial and organizational environments, highlighting the importance of these goals in promoting a safe, healthy, and sustainable work environment. In the center of this analysis are SDG 3 (“Good Health and Well-Being”) and SDG 8 (“Decent Work and Economic Growth”), which highlight the need to create working conditions that prioritize the safety of workers. The study analyzes the correlation between the implementation of these global objectives and occupational risk management processes. Research results indicate that linking the Sustainable Development Goals (SDGs) to these processes reduces the incidence of accidents and occupational diseases and also contributes to the achievement of global sustainability goals. An integrated approach improves the resilience of organizations, promotes equity in the professional environment, and supports sustainable economic development. The findings of the study offer important insights for policymakers, managers, and researchers, indicating that adopting a common framework for sustainability and occupational safety can bring significant benefits at local and global levels. Thus, the research encourages the widespread application of this integrative model in organizational policies and practices. Full article
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<p>The approach used to select the documents/publications analyzed in this study.</p>
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<p>Trends in publications and number of citations from 2011 to 2024 (data extracted from the “Web of Science Core Collection” platform).</p>
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<p>Viewing the countries with the largest number of publications and the connection between them (data extracted using VOSviewer software).</p>
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<p>Viewing keywords and the link between them (data extracted using VOSviewer software).</p>
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<p>Keyword “Sustainable Development Goals”: connection with other relevant terms in publications (data extracted using VOSviewer software).</p>
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<p>Keyword “sustainability”: connection with other relevant terms in publications (data extracted using VOSviewer software).</p>
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<p>Keyword “safety”: connection with other relevant terms in publications (data extracted using VOSviewer software).</p>
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<p>Keyword “management”: connection with other relevant terms in publications (data extracted using VOSviewer software).</p>
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<p>Keyword “impact”: connection with other relevant terms in publications (data extracted using VOSviewer software).</p>
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<p>The connection between occupational risk management and the Sustainable Development Goals [<a href="#B33-sustainability-17-01864" class="html-bibr">33</a>].</p>
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<p>Assessing the sustainability of the organization from the occupational health and safety viewpoint.</p>
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17 pages, 813 KiB  
Article
Evaluating Perceptions of the Natural Environment in Relation to Outdoor Activities for a Healthy and Sustainable Life: A Delphi Methodological Approach
by Natividad Buceta-Albillos and Esperanza Ayuga-Téllez
Sustainability 2025, 17(5), 1847; https://doi.org/10.3390/su17051847 - 21 Feb 2025
Abstract
In recent years, many studies have been carried out regarding the benefits that nature could bring to people’s well-being. The research presented here applies the Delphi methodology to design a survey aimed at assessing the links between the natural environment, well-being and leisure, [...] Read more.
In recent years, many studies have been carried out regarding the benefits that nature could bring to people’s well-being. The research presented here applies the Delphi methodology to design a survey aimed at assessing the links between the natural environment, well-being and leisure, enriching the existing body of knowledge. Eighteen experts participated in this study with an integrated approach to sustainability terms. Two rounds of queries were put to the panel of experts between February and July 2021. In the first round, the experts identified the key aspects to be considered when studying the perception of natural environments related to well-being through outdoor activities. In the second query, the experts assessed the importance, relevance and clarity of the questions to be included in the survey. The survey was designed based on the results of these two rounds of queries. This methodology aims to gain a better understanding of the interrelation between people and the natural environment in order to determine the mechanisms by which a relationship with nature can improve people’s health, well-being and sustainable behaviours. The Delphi method could be employed for global research to validate this survey. Full article
(This article belongs to the Section Health, Well-Being and Sustainability)
20 pages, 1299 KiB  
Article
Measurement and Comparative Analysis of Chinese New-Type Urbanization and Eco-Environment System Coordination
by Na Cao, Shicong Ling and Xinlei Cui
Sustainability 2025, 17(5), 1824; https://doi.org/10.3390/su17051824 - 21 Feb 2025
Abstract
The coordinated relationship of new-type urbanization (NU) and the eco-environment (EE) is of great significance for high-quality and healthy development. A multi-dimensional index system of NU and EE was established to measure and compare the coordinated level of 30 Chinese provinces from 2009 [...] Read more.
The coordinated relationship of new-type urbanization (NU) and the eco-environment (EE) is of great significance for high-quality and healthy development. A multi-dimensional index system of NU and EE was established to measure and compare the coordinated level of 30 Chinese provinces from 2009 to 2020 by the entropy method, coupling coordination degree model, and Markov chain. Furthermore, the regional differences in and distribution dynamic evolution of the coordination level of the four east, west, central, and northeast regions in China were analyzed using the Dagum Gini coefficient and the kernel density estimation method. The results showed that China’s NU and EE was in the low coordination state, and the distribution was uneven. In addition, the coordinated evolution was continuous. The study also revealed that intra-regional differences in coordination level were small and stable in China, and the overall difference in NU and EE coordination was mainly ascribed to inter-regional difference. The national coordination level rose, and the polarization phenomenon gradually disappeared. In the process of NU, the environmental capacity in China should be considered to promote the coordinated development of regions and fully reflect the sustainable development requirements of NU. Full article
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<p>Coupling degree of NU and EE system by region.</p>
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<p>The coordination degree of NU and EE system by region.</p>
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<p>Overall and regional differences in NU and EE system coordination.</p>
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<p>Regional differences in NU and EE system coordination.</p>
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<p>Sources of overall differences in NU-EE system coordination.</p>
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<p>Coordinated distribution dynamics of NU and EE systems in China.</p>
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20 pages, 1244 KiB  
Review
Role of Mitochondrial Dynamics in Skin Homeostasis: An Update
by Tao Quan, Ran Li and Ting Gao
Int. J. Mol. Sci. 2025, 26(5), 1803; https://doi.org/10.3390/ijms26051803 - 20 Feb 2025
Abstract
Skin aging is the most prominent phenotype of host aging and is the consequence of a combination of genes and environment. Improving skin aging is essential for maintaining the healthy physiological function of the skin and the mental health of the human body. [...] Read more.
Skin aging is the most prominent phenotype of host aging and is the consequence of a combination of genes and environment. Improving skin aging is essential for maintaining the healthy physiological function of the skin and the mental health of the human body. Mitochondria are vital organelles that play important roles in cellular mechanisms, including energy production and free radical balance. However, mitochondrial metabolism, mitochondrial dynamics, biogenesis, and degradation processes vary greatly in various cells in the skin. It is well known that mitochondrial dysfunction can promote the aging and its associated diseases of the skin, resulting in the damage of skin physiology and the occurrence of skin pathology. In this review, we summarize the important role of mitochondria in various skin cells, review the cellular responses to vital steps in mitochondrial quality regulation, mitochondrial dynamics, mitochondrial biogenesis, and mitochondrial phagocytosis, and describe their importance and specific pathways in skin aging. Full article
(This article belongs to the Topic Recent Advances in Veterinary Pharmacology and Toxicology)
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<p>Skin aging. Skin aging is divided into endogenous and exogenous aging. Intrinsic skin aging is mainly determined by chronological aging, genes, hormones, and metabolism and is the natural result of changes in the physiological system over time, while external aging is caused by a combination of external environments, including ultraviolet radiation, sleep, nutrition, and pollution.</p>
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<p>Skin health is tied to mitochondrial homeostasis. The state of healthy skin is associated with dynamic mitochondrial quality control, including mitochondrial biogenesis, mitochondrial fusion, mitochondrial division, and mitochondrial autophagy.</p>
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<p>Mitochondrial dysfunction is closely related to skin aging. Ultraviolet exposure (UVB and UVA) induces senescence in different types of cells within the skin, including melanocytes, fibroblasts, immune cells, and epidermal stem cells. Mitochondria in these cells undergo functional and morphological changes, including dysfunctional mitochondria, oxidative stress, decreased ATP levels, dysfunctional OXPHOS, altered mitochondrial biogenesis, calcium imbalance, and cell death.</p>
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21 pages, 21560 KiB  
Article
Promoting Mental Health Through Campus Landscape Design: Insights from New Zealand Universities
by Yuqing He, Jacky Bowring and Gillian Lawson
Architecture 2025, 5(1), 16; https://doi.org/10.3390/architecture5010016 - 19 Feb 2025
Abstract
Mental health challenges among university students and staff are a pressing concern globally and in Aotearoa, New Zealand. Despite adopting frameworks like the Okanagan Charter to promote health and well-being, there is a lack of empirical research on how campus landscapes contribute to [...] Read more.
Mental health challenges among university students and staff are a pressing concern globally and in Aotearoa, New Zealand. Despite adopting frameworks like the Okanagan Charter to promote health and well-being, there is a lack of empirical research on how campus landscapes contribute to mental health promotion. This is a preliminary study based on a Ph.D. research project aiming to investigate the role of campus landscapes in supporting relaxation and internal recovery through everyday activities. We conducted a comparative multi-case study involving 66 participants from the University of Auckland, Lincoln University, and the University of Otago, exploring how they use and prefer campus landscapes for relaxation. Our findings indicate that ‘enjoying nature’ is the most preferred relaxation activity, with participants engaging both actively and passively with various spaces such as gardens, open lawns, and forested areas. Additionally, in campus settings, the proximity of relaxation spaces appears to be more important than design quality because of the limited time during working hours, which points to the importance of thoughtful campus planning. This study also found that university staff are often overlooked in discussions about healthy universities, despite their significant role in the campus setting. Overall, this study highlights the importance of biophilic design principles in creating health-promoting campus environments and offers initial insights for integrating natural elements into campus planning to enhance mental health and well-being. Full article
(This article belongs to the Special Issue Biophilic School Design for Health and Wellbeing)
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<p>The main geographical location of the selected campuses (own work, 2020).</p>
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<p>Participant LU15’s mental map shows trees on Lincoln University campus (from participant LU15, 2018).</p>
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<p>Participant LU6’s mental map shows lawn areas at Lincoln University (from participant LU6, 2018).</p>
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<p>Participant UO21 identified a flower-watching spot on her mental map of the University of Otago (from participant UO21, 2018).</p>
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<p>Campus users at the University of Otago enjoy natural features on the banks of the Leith River in more passive ways (photo by authors, 2018).</p>
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<p>Two people practised fencing on the banks of the Leith River at the University of Otago during a weekend (photo by authors, 2018).</p>
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<p>Campus users play volleyball on the Forbes Lawn at Lincoln University (photo by authors, 2018).</p>
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<p>The importance of the context of a space at Lincoln University (from participant LU12, 2018).</p>
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<p>The spatial character of the courtyard of the School of Architecture and Planning, University of Auckland (from participant UA17, 2018).</p>
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<p>The location of the little forest at Lincoln University (modified from Google Map, 2020).</p>
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<p>The view inside the little forest at Lincoln University (photo by authors, 2018).</p>
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<p>A fully paved campus street at the University of Otago (photo by authors, 2018).</p>
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<p>The main activity centres at (from top to bottom) (<b>a</b>) Lincoln University, (<b>b</b>) the University of Auckland, and (<b>c</b>) the University of Otago (photos by authors, 2020).</p>
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<p>The secret garden at Lincoln University blocked by the adjacent building block (photo by authors, 2019).</p>
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<p>Albert Park as one get-away space for campus users at the University of Auckland (photo by authors, 2018).</p>
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21 pages, 3717 KiB  
Article
Design, Synthesis, and Mechanistic Anticancer Evaluation of New Pyrimidine-Tethered Compounds
by Farida Reymova, Belgin Sever, Edanur Topalan, Canan Sevimli-Gur, Mustafa Can, Amaç Fatih Tuyun, Faika Başoğlu, Abdulilah Ece, Masami Otsuka, Mikako Fujita, Hasan Demirci and Halilibrahim Ciftci
Pharmaceuticals 2025, 18(2), 270; https://doi.org/10.3390/ph18020270 - 19 Feb 2025
Abstract
Background: Despite recent breakthroughs in cancer treatment, non-small cell lung cancer (NSCLC) and breast cancer remain major causes of death from all malignancies. The epidermal growth factor receptor (EGFR) is an important mediator of the pathways involved in cell proliferation, apoptosis, and angiogenesis. [...] Read more.
Background: Despite recent breakthroughs in cancer treatment, non-small cell lung cancer (NSCLC) and breast cancer remain major causes of death from all malignancies. The epidermal growth factor receptor (EGFR) is an important mediator of the pathways involved in cell proliferation, apoptosis, and angiogenesis. Thus, its overexpression triggers several types of cancer, including NSCLC and breast cancer. Methods: In the current study, we synthesized new pyrimidine-tethered compounds (chalcone derivative (B-4), pyrazoline–carbothioamide (B-9), and pyrazoline–thiazole hybrids (BH1-7)). These compounds were then tested for cytotoxicity against A549 NSCLC and MCF-7 breast cancer cells. Results: Of these, B-4 displayed significant cytotoxicity against both cells (IC50 = 6.70 ± 1.02 µM for MCF-7; IC50 = 20.49 ± 2.7 µM for A549) compared to the standard agent lapatinib (IC50 = 9.71 ± 1.12 µM for MCF-7; IC50 = 18.21 ± 3.25 µM for A549). The anticancer potential of B-4 between Jurkat leukemic T cells and peripheral blood mononuclear cells (PBMCs) (healthy) was found to be selective. Mechanistically, 11.9% and 10.2% of A549 and MCF-7 cells treated with B-4, respectively, underwent apoptosis and B-4 produced 46% EGFR inhibition at a concentration of 10 μM. The B-4/EGFR complex obtained after induced fit docking was subjected to 300 ns of molecular dynamics simulation, which confirmed the stability of the complex in a mimicked biological environment. On the other hand, B-4 was shown to have drug-like properties by in silico pharmacokinetic estimation. Conclusions: B-4 is an EGFR inhibitor and apoptosis inducer for future NSCLC and breast cancer studies. Full article
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<p>Pyrimidine-bearing EGFR inhibitors.</p>
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<p>Chalcone derivatives, compounds <b>7e</b> [<a href="#B45-pharmaceuticals-18-00270" class="html-bibr">45</a>], <b>11</b> [<a href="#B46-pharmaceuticals-18-00270" class="html-bibr">46</a>], and <b>7b</b> [<a href="#B47-pharmaceuticals-18-00270" class="html-bibr">47</a>], with EGFR inhibitory activity against NSCLC and/or breast cancer cells.</p>
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<p>Thiazolyl–pyrazolines (compounds <b>11</b> [<a href="#B50-pharmaceuticals-18-00270" class="html-bibr">50</a>], <b>6c</b> [<a href="#B51-pharmaceuticals-18-00270" class="html-bibr">51</a>], <b>3f</b> [<a href="#B52-pharmaceuticals-18-00270" class="html-bibr">52</a>], <b>10b</b> [<a href="#B53-pharmaceuticals-18-00270" class="html-bibr">53</a>], <b>10d</b> [<a href="#B53-pharmaceuticals-18-00270" class="html-bibr">53</a>], <b>6e</b> [<a href="#B54-pharmaceuticals-18-00270" class="html-bibr">54</a>], and <b>BTT-5</b> [<a href="#B55-pharmaceuticals-18-00270" class="html-bibr">55</a>]) with EGFR inhibitory activity against NSCLC and/or breast cancer cells.</p>
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<p>NMR diagram for <b>B-4</b>, <b>B-9</b>, and <b>BH1-7</b>.</p>
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<p>Cytotoxicity values of <b>B-4</b>, <b>B-9</b>, and <b>BH1-7</b> against A549 (<b>a</b>) and MCF-7 (<b>b</b>) cells at 100 µM concentration compared to lapatinib.</p>
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<p>Changes in A549 (<b>a</b>) and MCF-7 (<b>b</b>) cells after control and <b>B-4</b> treatment for 24 h.</p>
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<p>EGFR inhibition of <b>B-4</b> at 10 μM and 1 μM concentrations.</p>
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<p>The calculated root mean square deviations of the EGFR (<b>top</b>) and the <b>B-4</b> (<b>bottom</b>) during 300 ns of MD run.</p>
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<p>Frequency of the contacts generated after 300 ns of the MD simulation. Only contacts that are observed at least for 40% of the simulation time are shown.</p>
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<p>The interaction map for <b>B-4</b>/EGFR complex extracted from the most populated cluster during MD run.</p>
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<p>The chemical structure and bioavailability radar of <b>B-4</b> from the SwissADME webtool.</p>
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<p>The chemical structure and bioavailability radar of <b>B-4</b> from the SwissADME webtool. BBB: Blood–brain barrier; HIA: human intestinal absorption; PGP: P-glycoprotein.</p>
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<p>Reagents and conditions: (<b>i</b>) 2-(4-Chlorophenyl)pyrimidine-5-carbaldehyde, NaOH, ethanol, rt, 24 h. (<b>ii</b>) Thiosemicarbazide, NaOH, ethanol, reflux, 8–12 h. (<b>iii</b>) 2-Bromo-1-arylethanone, ethanol, reflux, 2–6 h.</p>
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21 pages, 27128 KiB  
Article
Spatiotemporal Dynamics of PM2.5-Related Premature Deaths and the Role of Greening Improvement in Sustainable Urban Health Governance
by Peng Tang, Tianshu Liu, Xiandi Zheng and Jie Zheng
Atmosphere 2025, 16(2), 232; https://doi.org/10.3390/atmos16020232 - 18 Feb 2025
Abstract
Environmental particulate pollution is a major global environmental health risk factor, which is associated with numerous adverse health outcomes, negatively impacting public health in many countries, including China. Despite the implementation of strict air quality management policies in China and a significant reduction [...] Read more.
Environmental particulate pollution is a major global environmental health risk factor, which is associated with numerous adverse health outcomes, negatively impacting public health in many countries, including China. Despite the implementation of strict air quality management policies in China and a significant reduction in PM2.5 concentrations in recent years, the health burden caused by PM2.5 pollution has not decreased as expected. Therefore, a comprehensive analysis of the health burden caused by PM2.5 is necessary for more effective air quality management. This study makes an innovative contribution by integrating the Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI), and Soil-Adjusted Vegetation Index (SAVI), providing a comprehensive framework to assess the health impacts of green space coverage, promoting healthy urban environments and sustainable development. Using Nanjing, China, as a case study, we constructed a health impact assessment system based on PM2.5 concentrations and quantitatively analyzed the spatiotemporal evolution of premature deaths caused by PM2.5 from 2000 to 2020. Using Multiscale Geographically Weighted Regression (MGWR), we explored the impact of greening improvement on premature deaths attributed to PM2.5 and proposed relevant sustainable governance strategies. The results showed that (1) premature deaths caused by PM2.5 in Nanjing could be divided into two stages: 2000–2015 and 2015–2020. During the second stage, deaths due to respiratory and cardiovascular diseases decreased by 3105 and 1714, respectively. (2) The spatial variation process was slow, with the overall evolution direction predominantly from the southeast to northwest, and the spatial distribution center gradually shifted southward. On a global scale, the Moran’s I index increased from 0.247251 and 0.240792 in 2000 to 0.472201 and 0.468193 in 2020. The hotspot analysis revealed that high–high correlations slowly gathered toward central Nanjing, while the proportion of cold spots increased. (3) The MGWR results indicated a significant negative correlation between changes in green spaces and PM2.5-related premature deaths, especially in densely vegetated areas. This study comprehensively considered the spatiotemporal changes in PM2.5-related premature deaths and examined the health benefits of green space improvement, providing valuable references for promoting healthy and sustainable urban environmental governance and air quality management. Full article
(This article belongs to the Section Air Quality)
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<p>Study Area. (<b>A</b>) the map of China. (<b>B</b>) the administrative boundary of Jiangsu Province. (<b>C</b>) the administrative boundary and population distribution of Nanjing City.</p>
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<p>Spatial distribution of premature deaths from pM<sub>2.5</sub>-related diseases (2000–2020). (<b>A</b>) is the spatial distribution of premature deaths caused by respiratory diseases due to PM2.5; (<b>B</b>) is the spatial distribution of premature deaths caused by cardiovascular diseases due to PM2.5.</p>
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<p>Changes in number of premature deaths from PM<sub>2.5</sub>-related diseases.</p>
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<p>Standard deviation ellipses (<b>A1</b>): respiratory diseases; (<b>B1</b>): cardiovascular diseases. (<b>A`</b>,<b>B`</b>) the change of the center of the standard deviation ellipse.</p>
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<p>Cold and hot spot analysis (<b>A</b>–<b>E</b>): spatial distributions of cold and hot spots for PM<sub>2.5</sub>-induced premature deaths from respiratory diseases; (<b>F</b>–<b>J</b>): spatial distributions of cold and hot spots for PM<sub>2.5</sub>-induced premature deaths from cardiovascular diseases.The numbers in the image represent Z-scores. Positive values indicate high-value clusters, while negative values indicate low-value clusters.</p>
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<p>Change in proportions of cold and hot spot areas. R means the area proportion of respiratory system diseases; C means the area proportion of cardiovascular diseases.</p>
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<p>Multiscale Geographically Weighted Regression analysis of vegetation indices and HIA results. (<b>A</b>–<b>C</b>) the regression results of respiratory diseases caused by PM2.5 and vegetation index. (<b>D</b>–<b>F</b>) the regression results of cardiovascular diseases caused by PM2.5 and vegetation index.</p>
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30 pages, 4118 KiB  
Review
Lactic Acid Bacteria in Vinegar Fermentation: Diversity, Functionality and Health Benefits
by Elahesadat Hosseini, Zenebe Tadesse Tsegay, Slim Smaoui and Theodoros Varzakas
Foods 2025, 14(4), 698; https://doi.org/10.3390/foods14040698 - 18 Feb 2025
Abstract
Vinegar, frequently distilled by solid fermentation or liquid processes, was generated through the synergistic effect of a microbial community in open or semi-open environments. Based on the studied raw materials, researchers distributed the vinegar into three classes: grain, fruit and animal, with lactic [...] Read more.
Vinegar, frequently distilled by solid fermentation or liquid processes, was generated through the synergistic effect of a microbial community in open or semi-open environments. Based on the studied raw materials, researchers distributed the vinegar into three classes: grain, fruit and animal, with lactic acid bacteria (LAB) playing a pivotal role in their fermentation and contributing significantly to their functional and sensory qualities. Typically, the natural maturation of fresh vinegar necessitates a long period and vast space, engendering a reduced efficiency. To accelerate the vinegar aging process, some physical methods, viz. micro-oxygenation, ozone, ultrasound, microwave, gamma rays, infrared, electric fields and high pressure, have been developed. Produced or enriched by LAB, key bioactive vinegar components are organic acids, phenolic compounds, melanoidins, and tetramethylpyrazine. These active compounds have antibacterial, antioxidant, anti-inflammatory functions; aid in the regulation of liver protection metabolism and glucose control; and have blood pressure, anti-tumor, anti-fatigue and metabolic regulatory effects. The review explores advancements in vinegar production, including modernized fermentation processes and optimized aging techniques, which enhance these beneficial compounds and ensure product consistency and safety. By examining the LAB variety strains and the bioactive profiles of different vinegar types, this study highlights vinegar’s value beyond a culinary product, as a potential therapeutic agent in human nutrition and health. The findings underscore vinegar’s relevance not only in dietary and preventive healthcare but also as a potential functional food ingredient. Further research is needed to explore the mechanisms of action through which LAB contribute to the development of several new healthy vinegars. Full article
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<p>Raw materials and fermentation methods of vinegar production (reproduced from Xia et al. [<a href="#B56-foods-14-00698" class="html-bibr">56</a>] with permission from <span class="html-italic">Journal of Functional Foods</span>, copyright 2020).</p>
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<p>Mechanisms of vinegar fermentation and their Impact on final product quality. (<b>A</b>) Fermentation process of traditional Chinese vinegar production (reproduced from Zhang et al. [<a href="#B140-foods-14-00698" class="html-bibr">140</a>] with permission from <span class="html-italic">Food Chemistry</span>, copyright 2024). (<b>B</b>) Biochemical pathways influencing core microbial reactions and vinegar quality during fermentation (reproduced from Shi et al. [<a href="#B130-foods-14-00698" class="html-bibr">130</a>] with permission from LWT, copyright 2022).</p>
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<p>Mechanisms of vinegar fermentation and their Impact on final product quality. (<b>A</b>) Fermentation process of traditional Chinese vinegar production (reproduced from Zhang et al. [<a href="#B140-foods-14-00698" class="html-bibr">140</a>] with permission from <span class="html-italic">Food Chemistry</span>, copyright 2024). (<b>B</b>) Biochemical pathways influencing core microbial reactions and vinegar quality during fermentation (reproduced from Shi et al. [<a href="#B130-foods-14-00698" class="html-bibr">130</a>] with permission from LWT, copyright 2022).</p>
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<p>Functional qualities and health benefits of vinegar for human consumption.</p>
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31 pages, 2477 KiB  
Review
The Power of Environment: A Comprehensive Review of the Exposome’s Role in Healthy Aging, Longevity, and Preventive Medicine—Lessons from Blue Zones and Cilento
by Silvana Mirella Aliberti and Mario Capunzo
Nutrients 2025, 17(4), 722; https://doi.org/10.3390/nu17040722 - 18 Feb 2025
Abstract
Aging and longevity are shaped by the exposome, a dynamic network of environmental, social, and biological factors. Understanding how these exposures interact with biological mechanisms can inform strategies for healthier aging. Background/Objectives: This review explores the exposome as a dynamic system encompassing [...] Read more.
Aging and longevity are shaped by the exposome, a dynamic network of environmental, social, and biological factors. Understanding how these exposures interact with biological mechanisms can inform strategies for healthier aging. Background/Objectives: This review explores the exposome as a dynamic system encompassing both protective and risk factors, with a specific focus on how beneficial environmental exposures, microbiome diversity, lifestyle behaviors, and resilience mechanisms contribute to successful aging. By analyzing high-longevity populations, such as the Blue Zones and Cilento, it aims to identify common determinants of successful aging. Methods: A mixed-method study was conducted, combining a systematic review of the English literature (2003–2024) with a comparative analysis of longevity regions. A structured search was performed in PubMed, Scopus, and Google Scholar using keywords such as “longevity”, “Blue Zones”, “Cilento”, “microbiome”, “environmental factors”, and related terms. Additionally, qualitative and quantitative analysis were applied to assess key protective factors across different aging models. Results: This study identified key factors contributing to successful aging in longevity hotspots, including sustained exposure to biodiverse natural environments, adherence to Mediterranean or plant-based diet rich in polyphenols and probiotics, regular physical activity, strong social networks, and psychological resilience. A novel aspect of this review is the role of the gut microbiome as a mediator between environmental exposures and immune–metabolic health, influencing inflammation modulation and cellular aging. Despite geographic and cultural differences, case studies reveal a shared pattern of protective factors that collectively enhance lifespan and healthspan. Conclusions: The exposome is a critical determinant of aging trajectories, acting through complex interactions between environmental and biological mechanisms. By integrating insights from high-longevity populations, this mixed-method study proposes a comprehensive framework for optimizing microbiome health, enhancing resilience, and promoting protective environmental exposures. These findings provide a translational perspective to guide future interventions in aging research and global health initiatives. Full article
(This article belongs to the Special Issue The Interdependence of Nutrition and Mental Well-Being)
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<p>A flowchart illustrating the identification of studies for inclusion.</p>
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<p>Conceptual diagram showing the interrelationships between Lifespan and Longevity Factors. Note: This conceptual diagram visualizes the interrelated factors influencing longevity, structured into primary domains, subcategories, and further subdivisions. The diagram was constructed using Microsoft PowerPoint, following a hierarchical classification of factors derived from the existing literature on aging and the exposome. Node size reflects the hierarchical level of each factor: larger nodes represent broad categories (e.g., Environmental Exposures), medium-sized nodes indicate subcategories (e.g., Lifestyle Factors, Biological Factors), and smaller nodes denote specific determinants within each subcategory (e.g., Dietary Pattern, Mitochondrial Health). Regarding the placement of Genetic Factors, while it could be embedded within Biological Factors, it has been represented as a separate domain to emphasize its distinct contributions to longevity, independent of modifiable environmental influences. Different colors are used to distinguish primary domains and their subcategories, visually highlighting their interrelationships. This color-coding enhances clarity and emphasizes the interdependencies across categories, illustrating how different determinants collectively shape aging trajectories. The number of connections was determined based on well-documented interactions in the literature, prioritizing relationships with the strongest empirical support. While additional links could be drawn, the visualization aims to balance comprehensiveness with clarity, preventing excessive complexity while maintaining the integrity of key interconnections.</p>
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<p>The Seven Pillars of Healthy Nutrition and the Double Food Pyramid: A Holistic Framework Integrating Diet, Health, and Sustainability. Note: This framework was conceptualized by the authors based on an extensive synthesis of scientific research on nutrition, aging, and sustainability. It aims to align health promotion with environmental priorities, offering a comprehensive approach to dietary choices. By integrating of the Seven Pillars with the Double Food Pyramid, this model highlights the dual benefits of dietary patterns that simultaneously support both individual health and environmental sustainability.</p>
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<p>The Health–Disease Continuum: Pathways of Risk Mitigation and Outcomes. A conceptual framework for understanding the interplay of protective factors, risk factors, and therapeutic measures.</p>
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15 pages, 312 KiB  
Article
Neighborhood Vulnerability and the Consumer Food Environment in an Urban Area
by Cecilia Craveiro, Mariana Lopes, Patricia Freitas and Aline Lopes
Int. J. Environ. Res. Public Health 2025, 22(2), 303; https://doi.org/10.3390/ijerph22020303 - 18 Feb 2025
Abstract
The consumer food environment is an important medium for understanding complex interactions regarding food consumption, health outcomes and social vulnerability. We aimed to analyze the diversity, variety and quality of natural and ultra-processed foods in a Brazilian metropolis. We performed a cross-sectional study, [...] Read more.
The consumer food environment is an important medium for understanding complex interactions regarding food consumption, health outcomes and social vulnerability. We aimed to analyze the diversity, variety and quality of natural and ultra-processed foods in a Brazilian metropolis. We performed a cross-sectional study, analyzing food stores within a buffer (1600 m) area around 18 randomly selected Health Promotion Program units. We used descriptive analyses and regression models, adjusted by the area’s population, to examine associations of consumer food environment variables with the health vulnerability (HVI) of the territory and store type. Low HVI areas had higher fruits and vegetables variety adequacy and better quality, when compared to medium and high/very high HVI areas (p-value < 0.001 and p-value = 0.001). Supermarkets in low HVI areas had almost twice the prevalence of adequate vegetable variety (65.2% vs. 33.3% in high/very high HVI areas, p-value = 0.005). Adjusted by population, areas with high/very high HVI had lower odds of adequate fruit variety when compared to low HVI areas (OR = 0.06; CI 95% = 0.01–0.44; p-value = 0.006). Although consumer preference is important in food acquisition, disparities in quality, diversity and variety within the consumer food environment could lead to difficulties in access to healthy options for vulnerable populations. Full article
14 pages, 1360 KiB  
Article
Siderophore Production, Diversity of Siderophore Receptors and Associations with Virulence-Associated Genes, Phylogroups and Bacteriocin Production in Escherichia coli Strains Isolated from Humans, Animals and Organic Fertilizers
by Marina V. Kuznetsova, Veronika S. Mihailovskaya, Polina A. Selivanova, Darja A. Kochergina, Natalia B. Remezovskaya and Marjanca Starčič Erjavec
Microbiol. Res. 2025, 16(2), 50; https://doi.org/10.3390/microbiolres16020050 - 17 Feb 2025
Abstract
Iron uptake plays an important role in the persistence of Escherichia coli in the host and for its survival in the environment, and it is known that E. coli has a variety of siderophore systems for iron uptake. We investigated the ability to [...] Read more.
Iron uptake plays an important role in the persistence of Escherichia coli in the host and for its survival in the environment, and it is known that E. coli has a variety of siderophore systems for iron uptake. We investigated the ability to produce siderophores, the genetic diversity of the siderophores and their correlation with virulence-associated genes (VAGs), phylogroups and bacteriocin production in E. coli strains isolated from different sources: uropathogenic E. coli (UPEC) from urine of patients with urinary tract infections, avian pathogenic E. coli (APEC) from organs of birds with signs of colibacillosis, fecal E. coli (FEC) from feces of healthy cattle and E. coli from organic fertilizers based on poultry and cattle manure (OFEC). A high variability in siderophore production was found among the UPEC strains studied, while the OFEC strains showed the highest siderophore production among all groups. Genes for aerobactin and yersiniabactin receptors were most frequently found in the UPEC strain, followed by the APEC, FEC and OFEC strains. The greatest diversity of siderophore receptors was found in the APEC strain. We also found that iutA-positive E. coli isolated from animals contained more VAGs than iutA-negative strains. The profiles of the siderophore genes of APEC and OFEC from poultry manure were very similar, indicating that APEC can be transmitted via organic fertilizers, suggesting that poultry manure is an environmental risk. The data obtained complement the information on the prevalence of siderophore producers and contribute to our knowledge on the biodiversity of E. coli pathotypes. Full article
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<p>(<b>a</b>) CAS agar: the yellow halo formed around the bacterial colony indicates siderophore production. (<b>b</b>) Siderophore production coefficient (K) for different groups of <span class="html-italic">E. coli</span> strains. Data are mean ± standard error of the mean (SEM), * <span class="html-italic">p</span> &lt; 0.05. Uropathogenic <span class="html-italic">E. coli</span> (UPEC), avian pathogenic <span class="html-italic">E. coli</span> (APEC), fecal <span class="html-italic">E. coli</span> (FEC), <span class="html-italic">E. coli</span> from organic fertilizers based on poultry and cattle manure.</p>
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<p>(<b>a</b>) The number of siderophore receptor genes in <span class="html-italic">E. coli</span> groups isolated from different sources. Data are mean ± standard error of the mean (SEM), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005, *** <span class="html-italic">p</span> &lt; 0.0005. (<b>b</b>) Venn diagrams showing combinations of siderophore receptor genes found in different <span class="html-italic">E. coli</span> groups. The number indicates the number of strains. Uropathogenic <span class="html-italic">E. coli</span> (UPEC), avian pathogenic <span class="html-italic">E. coli</span> (APEC), fecal <span class="html-italic">E. coli</span> (FEC), <span class="html-italic">E. coli</span> from organic fertilizers based on poultry and cattle manure.</p>
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<p>(<b>a</b>) The number of detected virulence-associated genes (VAGs) among <span class="html-italic">iroN</span>-positive (<span class="html-italic">iroN</span>+), <span class="html-italic">fyuA</span>-positive (<span class="html-italic">fyuA</span>+) and <span class="html-italic">iutA-</span>positive (<span class="html-italic">iutA</span>+) <span class="html-italic">E. coli</span>. Data are mean ± standard error of the mean (SEM), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005. (<b>b</b>) A correlation matrix reflecting the strength of the relationship between the siderophore receptor genes and VAGs. Due to only 1 <span class="html-italic">iroN</span>-positive and only 2 <span class="html-italic">iutA</span>-positive strains, this analysis was not performed for cattle organic fertilizers <span class="html-italic">E. coli</span> (OFEC). The color value of each cell corresponds to the Spearman correlation coefficient and is proportional to the correlation strength. Uropathogenic <span class="html-italic">E. coli</span> (UPEC), avian pathogenic <span class="html-italic">E. coli</span> (APEC), fecal <span class="html-italic">E. coli</span> (FEC).</p>
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20 pages, 5332 KiB  
Article
An Adaptive Fatigue Detection Model for Virtual Reality-Based Physical Therapy
by Sergio Martinez-Cid, Mohamed Essalhi, Vanesa Herrera, Javier Albusac, Santiago Schez-Sobrino and David Vallejo
Information 2025, 16(2), 148; https://doi.org/10.3390/info16020148 - 17 Feb 2025
Abstract
This paper introduces a fatigue detection model specifically designed for immersive virtual reality (VR) environments, aimed at facilitating upper limb rehabilitation for individuals with spinal cord injuries (SCIs). The model’s primary application centers on the Box-and-Block Test, providing healthcare professionals with a reliable [...] Read more.
This paper introduces a fatigue detection model specifically designed for immersive virtual reality (VR) environments, aimed at facilitating upper limb rehabilitation for individuals with spinal cord injuries (SCIs). The model’s primary application centers on the Box-and-Block Test, providing healthcare professionals with a reliable tool to monitor patient progress and adapt rehabilitation routines. At its core, the model employs data fusion techniques via ordered weighted averaging (OWA) operators to aggregate multiple metrics captured by the VR rehabilitation system. Additionally, fuzzy logic is employed to personalize fatigue assessments. Therapists are provided with a detailed classification of fatigue levels alongside a video-based visual representation that highlights critical moments of fatigue during the exercises. The experimental methodology involved testing the fatigue detection model with both healthy participants and patients, using immersive VR-based rehabilitation scenarios and validating its accuracy through self-reported fatigue levels and therapist observations. Furthermore, the model’s scalable design promotes its integration into remote rehabilitation systems, highlighting its adaptability to diverse clinical scenarios and its potential to enhance accessibility to rehabilitation services. Full article
(This article belongs to the Special Issue Advances in Human-Centered Artificial Intelligence)
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<p>Fuzzy sets to represent the patient’s performance decline.</p>
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<p>Global architecture of the Rehab-Immersive system. The AI layer includes the module for fatigue detection.</p>
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<p>Healthy participants testing the fatigue detection module.</p>
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<p>The comparison between the fatigue levels perceived by three test subjects and those automatically calculated by the model is illustrated. On the y-axis, the fatigue levels are categorized as low, moderate, high or very high. The x-axis corresponds to the set numbers assigned to each test subject.</p>
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<p>(<b>Left</b>) Test subject using the Rehab-Immersive platform. (<b>Right</b>) Screenshot taken from the video recorder to show when the module for fatigue detection raised an alert.</p>
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<p>Visualization of the level of fatigue automatically computed by the model after running the tests at the National Hospital for Paraplegics with 9 patients that attended VR-based physical therapy. The number of sets performed varies from patient to patient.</p>
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<p>User interface of the system the fatigue module was integrated in. (<b>a</b>) Screenshot of the system in operation. (<b>b</b>) Patient’s routine data. (<b>c</b>) Routine information automatically suggested by the system.</p>
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18 pages, 266 KiB  
Article
Personalized Culinary Medicine: Qualitative Analyses of Perceptions from Participants in Action and Contemplation Stages of Change Through a One-Year Bi-Center Randomized Controlled Trial
by Adi Finkelstein, Maggi A. Budd, Brianna E. Gray, Jacob Mirsky, Amir Tirosh and Rani Polak
Nutrients 2025, 17(4), 704; https://doi.org/10.3390/nu17040704 - 16 Feb 2025
Abstract
Background: A high-quality diet is linked to cardiometabolic risk reduction. Culinary medicine interventions are effective in improving nutrition and health outcomes. While personalized nutrition is usually related to improving patient outcomes through knowledge about gene-nutrient interactions, tailoring interventions based on participant motivation [...] Read more.
Background: A high-quality diet is linked to cardiometabolic risk reduction. Culinary medicine interventions are effective in improving nutrition and health outcomes. While personalized nutrition is usually related to improving patient outcomes through knowledge about gene-nutrient interactions, tailoring interventions based on participant motivation and biopsychosocial environment may improve outcomes. The stage of change framework categorized participants based on current behaviors and intentions for future behaviors. Our goal was to assess participant perceptions regarding accomplishments, challenges, and needs up to one year following a culinary medicine program according to their stage of change at entry. Methods: Participant perceptions were collected at (1) the intervention end (open-ended questionnaire), (2) six months (semi-structured interview), and (3) twelve months (open-ended questionnaire). Analysis was performed inductively following a thematic analysis approach. Results: Twenty-four participants completed 70 perspectives (58/12 from participants who entered at a contemplation/action stage of change). Perceptions were related to (1) acquire culinary and nutritional knowledge: improve knowledge about healthy nutrition, use new recipes, and ask for hands-on cooking classes; (2) improve culinary and self-regulatory skills: improve confidence in the kitchen, expand cooking skills, organizing and planning, and creativity and pleasure; (3) adopt home cooking and healthy nutrition: adopt home-cooking habits, spreading home cooking to other family members, improve nutrition habits throughout the day, and decrease consumption of ultra-processed food; and (4) address the sustainability of health changes: achievements in maintaining long-term health changes, challenges in maintaining long-term health changes, and facilitators for a long-term change. Conclusions: These results provide one-year-long information about participant facilitators, barriers, and needs for making home-cooking changes categorized to the participant stage of change at program entry. This information can help reform effective personalized culinary medicine programs. Full article
(This article belongs to the Section Nutrition and Metabolism)
15 pages, 732 KiB  
Article
What Nurses’ Work–Life Balance in a Clinical Environment Would Be
by Sharifa M Alasiry, Fauzia Naif Alfridi, Hibah Abdulrahim Bahri and Hanan HamdanAlshehri
Healthcare 2025, 13(4), 427; https://doi.org/10.3390/healthcare13040427 - 16 Feb 2025
Abstract
Background/Objectives: Nurses’ workplaces are critical to both the levels and types of care nurses can deliver as well as to employee retention. The quality of the workplace environment is a significant predictor of employment outcomes, such as improved care and a decrease in [...] Read more.
Background/Objectives: Nurses’ workplaces are critical to both the levels and types of care nurses can deliver as well as to employee retention. The quality of the workplace environment is a significant predictor of employment outcomes, such as improved care and a decrease in nurses’ desire to leave their work. Moreover, a favourable work environment can significantly improve organisational performance. A healthy nursing workplace is a safe, empowering, and fulfilling place of employment in which all healthcare personnel work tirelessly for patients’ optimal health and wellness. The aim of this study is to identify the association between workplace environment and work engagement among nurses in clinical settings. Methods: A descriptive cross-sectional correlational design was used. Convenience sampling was used to recruit 349 nurses from various hospitals in the central northern region of Saudi Arabia. A four-part electronic questionnaire eliciting information on participants’ sociodemographic characteristics, job characteristics, work-related quality of life (WRQoL), and work engagement was collected. All ethical guidelines for scientific research on human beings were strictly followed. Results: The participants had average levels of WRQoL. However, they had generally moderate to high levels of work engagement, which reflects their moderate to low intention to leave work. The findings demonstrated a statistically significant positive link between the WRQoL and work engagement of the participants. Conclusions: When the nurses’ WRQoL improved, their work engagement increased significantly. Improving WRQoL will almost definitely enhance nurses’ work engagement, which will reduce nurses’ intentions to leave their employment. It is advised that nurses enhance their WRQoL in order to increase their engagement in the workplace, have fewer thoughts about leaving, and make fewer plans to leave. Full article
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<p>The job position distribution of the respondents (n = 349).</p>
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<p>Sample size calculation.</p>
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30 pages, 30669 KiB  
Article
Machine Learning-Based Damage Diagnosis in Floating Wind Turbines Using Vibration Signals: A Lab-Scale Study Under Different Wind Speeds and Directions
by John S. Korolis, Dimitrios M. Bourdalos and John S. Sakellariou
Sensors 2025, 25(4), 1170; https://doi.org/10.3390/s25041170 - 14 Feb 2025
Abstract
Floating wind turbines (FWTs) operate in offshore environments under harsh and varying operating conditions, making frequent in situ monitoring dangerous for maintenance teams and costly for operators. Remote and automated diagnosis, including the stages of detection, identification, and severity characterization of early stage [...] Read more.
Floating wind turbines (FWTs) operate in offshore environments under harsh and varying operating conditions, making frequent in situ monitoring dangerous for maintenance teams and costly for operators. Remote and automated diagnosis, including the stages of detection, identification, and severity characterization of early stage damages in FWTs through advanced vibration-based structural health monitoring (SHM) methods of the machine learning (ML) type, is evidently critical for timely repairs, extending their operational lifecycle, reducing maintenance costs, and enhancing safety. This study investigates, for the first time, the complete (all stages) damage diagnosis problem by employing well-established ML SHM methods and conducting hundreds of experiments on a lab-scale FWT model operating under different wind speeds and directions, both in healthy and damaged states. The latter include two distinct blade cracks of limited length, two added masses attached to the blade edge simulating possible accumulation of ice, and connection degradation at the mounting of the main tower with the floater. The results indicate that the proper training of advanced ML methods using damage-sensitive feature vectors that represent the structural dynamics within the entire frequency bandwidth of measurements may achieve flawless damage diagnosis, reaching 100% success at all diagnosis stages, even when only a minimal number of vibration signals from a limited number of sensors (a single sensor in this study) are used. Full article
(This article belongs to the Special Issue Feature Papers in Fault Diagnosis & Sensors 2024)
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<p>Schematic representation of the challenging damage diagnosis problem under varying EOCs: (<b>a</b>) damaged vs. healthy FWT under constant EOCs, (<b>b</b>) healthy FWT dynamics under two different EOCs, and (<b>c</b>) “masked” damage effects on the dynamics by those due to varying EOCs.</p>
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<p>(<b>a</b>) Photo of the lab-scale FWT model and (<b>b</b>) the FWT under the considered wind directions (WD1, WD2, and WD3) and speeds (WS1, WS2, and WS3).</p>
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<p>The lab-scale FWT model, the accelerometer position, and the considered damage scenarios.</p>
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<p>Indicative Welch—based PSD estimate using a vibration signal from the FWT in a healthy state before and after signal filtering and resampling at a frequency of <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>s</mi> </msub> <mo>=</mo> <mn>512</mn> </mrow> </semantics></math> Hz.</p>
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<p>Indicative Welch—based PSD estimates using vibration signals from healthy FWT operating: (<b>a</b>) under all considered wind speeds (WS) for constant wind direction WD1 and (<b>b</b>) under all considered wind directions for constant wind speed WS1. The red arrows indicate significant changes in frequencies due to varying EOCs.</p>
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<p>Welch—based PSD envelope estimates under all considered wind speeds and directions of the healthy and damaged FWT (90 signals per health state): (<b>a</b>) healthy vs. scenario B, (<b>b</b>) healthy vs. scenario M1, and (<b>c</b>) healthy vs. scenario M2.</p>
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<p>Welch—based PSD envelope estimates under all considered wind speeds and directions of the healthy and damaged FWT (90 signals per health state): (<b>a</b>) healthy vs. scenario C1 and (<b>b</b>) healthy vs. scenario C2.</p>
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<p>Effects of different damage types on the dynamics through Welch—based PSD envelope estimates for damage scenario B (90 signals), for scenarios C1 and C2 (180 signals), and for scenarios M1 and M2 (180 signals).</p>
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<p>Effects of different damage severity levels for the same damage type through Welch—based PSD envelope estimates (90 signals per damage severity): (<b>a</b>) scenario M1 vs. scenario M2 and (<b>b</b>) scenario C1 vs. scenario C2.</p>
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<p>(<b>a</b>) Model order selection via the BIC criterion (blue line) and corresponding residual sum of squares over the signal sum of squares percentage (RSS/SSS%) (red line) with the selected order indicated at <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>a</mi> </msub> <mo>=</mo> <mn>80</mn> </mrow> </semantics></math>; (<b>b</b>) model validation via the residual auto correlation function (ACF) at a 95% confidence level.</p>
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<p>Damage detection results based on the U-MM-AR method: (<b>a</b>) plot of the distance metric <span class="html-italic">D</span> and (<b>b</b>) corresponding ROC curves (overlapped due to perfect performance); 900 inspection test cases for the healthy FWT and 1800 per damage scenario, 9900 in total. The blue dashed line indicates the user selected threshold.</p>
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<p>Damage detection results based on the U-MM-PSD method: (<b>a</b>) plot of the distance metric <span class="html-italic">D</span> and (<b>b</b>) corresponding ROC curves (overlapped due to perfect performance); 900 inspection test cases for the healthy FWT and 1800 per damage scenario, 9900 in total. The blue dashed line indicates the user selected threshold.</p>
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<p>Damage type identification results via confusion matrices. (<b>a</b>) The S-MM-AR method, (<b>b</b>) the S-MM-PSD method, (<b>c</b>) the k-NN-AR method, (<b>d</b>) the k-NN-PSD method, (<b>e</b>) the SVM-AR method, and (<b>f</b>) the SVM-PSD method. Correct identification is indicated by green color and misidentification by red (4500 inspection test cases in total).</p>
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<p>Damage severity characterization results via confusion matrices for the added mass damage scenario. (<b>a</b>) The S-MM-AR-based method, (<b>b</b>) the k-NN-AR-based method, (<b>c</b>) the SVM-AR-based method, (<b>d</b>) the S-MM-PSD-based method, (<b>e</b>) the k-NN-PSD-based method, and (<b>f</b>) the SVM-PSD-based method. Correct characterization is indicated by green color and mischarachterization by red (1800 inspection test cases in total).</p>
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<p>Damage severity characterization results via confusion matrices for the blade crack damage scenario. (<b>a</b>) The S-MM-AR-based method, (<b>b</b>) the k-NN-AR-based method, (<b>c</b>) the SVM-AR-based method, (<b>d</b>) the S-MM-PSD-based method, (<b>e</b>) the k-NN-PSD-based method, and (<b>f</b>) the SVM-PSD-based method. Correct characterization is indicated by green color and mischaracterization by red (1800 inspection test cases in total).</p>
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<p>Summary of the correct severity characterization percentages for damage scenarios with added mass (<math display="inline"><semantics> <mrow> <mi>M</mi> <mn>1</mn> <mo>,</mo> <mi>M</mi> <mn>2</mn> </mrow> </semantics></math>) and blade crack (<math display="inline"><semantics> <mrow> <mi>C</mi> <mn>1</mn> <mo>,</mo> <mi>C</mi> <mn>2</mn> </mrow> </semantics></math>) based on all considered methods.</p>
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