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Search Results (292)

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Keywords = water quality perception

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17 pages, 2727 KiB  
Article
Local Perspectives on the Role of Dams in Altering River Ecosystem Services in West Africa
by Jean Hounkpe, Yaovi Aymar Bossa, Félicien Djigbo Badou, Flaurine Nouasse, Koupamba Gisèle Sanni Sinasson, Issoufou Yangouliba, Afissétou L. D. Bio Salifou, Irette Kodjogbe, Yacouba Yira, Ozias Hounkpatin, Luc O. C. Sintondji and Daouda Mama
Earth 2025, 6(3), 93; https://doi.org/10.3390/earth6030093 (registering DOI) - 7 Aug 2025
Abstract
Water-related ecosystem services provide a broad range of benefits, including the mitigation of extreme hydrometeorological events, the provision of water for various uses, the support of tourism, and the provision of cultural services. This study assesses the perceptions and accessibility of these services [...] Read more.
Water-related ecosystem services provide a broad range of benefits, including the mitigation of extreme hydrometeorological events, the provision of water for various uses, the support of tourism, and the provision of cultural services. This study assesses the perceptions and accessibility of these services among communities located near the Alafiarou and Okpara dams in Benin and the Bagré dam in Burkina Faso. The methodology involved designing and implementing a questionnaire in KoboCollect, with trained agents deployed to conduct data collection at each of the three sites. Data analysis indicates that respondents identified biodiversity conservation and the provision of drinking water as the most crucial ecosystem services. Over two-thirds of participants reported observing both positive and negative changes in the services provided by rivers and in socio-economic activities since the construction of the dams. While the majority noted improvements in agriculture, irrigation, water quality, fisheries, and flow rates, other changes included biodiversity loss, a decrease in vegetation cover (notably trees and shrubs), an increase in the population of mosquitoes and other insects, and a decline in fishery resources downstream. Despite these challenges, local communities were strongly willing to participate in initiatives aimed at protecting and restoring river ecosystems and their related services. Full article
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13 pages, 596 KiB  
Article
Household Satisfaction and Drinking Water Quality in Rural Areas: A Comparison with Official Access Data
by Zhanerke Bolatova, Riza Sharapatova, Kaltay Kanagat, Yerlan Kabiyev, Ronny Berndtsson and Kamshat Tussupova
Sustainability 2025, 17(15), 7107; https://doi.org/10.3390/su17157107 - 5 Aug 2025
Abstract
Background: Access to safe and reliable water and sanitation remains a critical public health and development challenge, with rural and low-income communities being disproportionately affected by inadequate services and heightened exposure to waterborne diseases. Despite global efforts and infrastructure-based progress indicators, significant disparities [...] Read more.
Background: Access to safe and reliable water and sanitation remains a critical public health and development challenge, with rural and low-income communities being disproportionately affected by inadequate services and heightened exposure to waterborne diseases. Despite global efforts and infrastructure-based progress indicators, significant disparities persist, and these often overlook users’ perceptions of water quality, reliability, and safety. This study explores the determinants of household satisfaction with drinking water in rural areas, comparing subjective user feedback with official access data to reveal gaps in current monitoring approaches and support more equitable, user-centered water governance. Methods: This study was conducted in Kazakhstan’s Atyrau Region, where 1361 residents from 86 rural villages participated in a structured survey assessing household access to drinking water and perceptions of its quality. Data were analyzed using descriptive statistics and multinomial logistic regression to identify key predictors of user satisfaction, with results compared against official records to evaluate discrepancies between reported experiences and administrative data. Results: The field survey results revealed substantial discrepancies between official statistics and residents’ reports, with only 58.1% of respondents having in-house tap water access despite claims of universal coverage. Multinomial logistic regression analysis identified key predictors of user satisfaction, showing that uninterrupted supply and the absence of complaints about turbidity, odor, or taste significantly increased the likelihood of higher satisfaction levels with drinking water quality. Conclusions: This study underscores the critical need to align official water access statistics with household-level experiences, revealing that user satisfaction—strongly influenced by supply reliability and sensory water quality—is essential for achieving equitable and effective rural water governance. Full article
(This article belongs to the Section Sustainable Water Management)
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28 pages, 974 KiB  
Review
Murburn Bioenergetics and “Origins–Sustenance–Termination–Evolution of Life”: Emergence of Intelligence from a Network of Molecules, Unbound Ions, Radicals and Radiations
by Laurent Jaeken and Kelath Murali Manoj
Int. J. Mol. Sci. 2025, 26(15), 7542; https://doi.org/10.3390/ijms26157542 - 5 Aug 2025
Viewed by 255
Abstract
The paradigm-shift idea of murburn concept is no hypothesis but developed directly from fundamental facts of cellular/ecological existence. Murburn involves spontaneous and stochastic interactions (mediated by murzymes) amongst the molecules and unbound ions of cells. It leads to effective charge s [...] Read more.
The paradigm-shift idea of murburn concept is no hypothesis but developed directly from fundamental facts of cellular/ecological existence. Murburn involves spontaneous and stochastic interactions (mediated by murzymes) amongst the molecules and unbound ions of cells. It leads to effective charge separation (ECS) and formation/recruitment of diffusible reactive species (DRS, like radicals whose reactions enable ATP-synthesis and thermogenesis) and emission of radiations (UV/Vis to ELF). These processes also lead to a chemo-electromagnetic matrix (CEM), ascertaining that living cell/organism react/function as a coherent unit. Murburn concept propounds the true utility of oxygen: generating DRS (with catalytic and electrical properties) on the way to becoming water, the life solvent, and ultimately also leading to phase-based macroscopic homeostatic outcomes. Such a layout enables cells to become simple chemical engines (SCEs) with powering, coherence, homeostasis, electro-mechanical and sensing–response (PCHEMS; life’s short-term “intelligence”) abilities. In the current review, we discuss the coacervate nature of cells and dwell upon the ways and contexts in which various radiations (either incident or endogenously generated) could interact in the new scheme of cellular function. Presenting comparative evidence/arguments and listing of systems with murburn models, we argue that the new perceptions explain life processes better and urge the community to urgently adopt murburn bioenergetics and adapt to its views. Further, we touch upon some distinct scientific and sociological contexts with respect to the outreach of murburn concept. It is envisaged that greater awareness of murburn could enhance the longevity and quality of life and afford better approaches to therapies. Full article
(This article belongs to the Section Molecular Biophysics)
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19 pages, 2828 KiB  
Review
Microbial Proteins: A Green Approach Towards Zero Hunger
by Ayesha Muazzam, Abdul Samad, AMM Nurul Alam, Young-Hwa Hwang and Seon-Tea Joo
Foods 2025, 14(15), 2636; https://doi.org/10.3390/foods14152636 - 28 Jul 2025
Viewed by 416
Abstract
The global population is increasing rapidly and, according to the United Nations (UN), it is expected to reach 9.8 billion by 2050. The demand for food is also increasing with a growing population. Food shortages, land scarcity, resource depletion, and climate change are [...] Read more.
The global population is increasing rapidly and, according to the United Nations (UN), it is expected to reach 9.8 billion by 2050. The demand for food is also increasing with a growing population. Food shortages, land scarcity, resource depletion, and climate change are significant issues raised due to an increasing population. Meat is a vital source of high-quality protein in the human diet, and addressing the sustainability of meat production is essential to ensuring long-term food security. To cover the meat demand of a growing population, meat scientists are working on several meat alternatives. Bacteria, fungi, yeast, and algae have been identified as sources of microbial proteins that are both effective and sustainable, making them suitable for use in the development of meat analogs. Unlike livestock farming, microbial proteins produce less environmental pollution, need less space and water, and contain all the necessary dietary components. This review examines the status and future of microbial proteins in regard to consolidating and stabilizing the global food system. This review explores the production methods, nutritional benefits, environmental impact, regulatory landscape, and consumer perception of microbial protein-based meat analogs. Additionally, this review highlights the importance of microbial proteins by elaborating on the connection between microbial protein-based meat analogs and multiple UN Sustainable Development Goals. Full article
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22 pages, 3865 KiB  
Article
An Assessment of Bio-Physical and Social Drivers of River Vulnerability and Risks
by Komali Kantamaneni, John Whitton, Sigamani Panneer, Iqbal Ahmad, Anil Gautam and Debashish Sen
Earth 2025, 6(3), 77; https://doi.org/10.3390/earth6030077 - 11 Jul 2025
Viewed by 723
Abstract
In recent decades, the River Ganges in India has been heavily contaminated with domestic waste and industrial toxins because of cultural activities, a lack of community awareness, an absence of sewage disposal facilities, and rapid population growth. Previous studies have focused separately on [...] Read more.
In recent decades, the River Ganges in India has been heavily contaminated with domestic waste and industrial toxins because of cultural activities, a lack of community awareness, an absence of sewage disposal facilities, and rapid population growth. Previous studies have focused separately on either the physical or social factors associated with River Ganges pollution but have not combined these elements in a single study. To fill this research gap, our study assesses the bio-physical and social vulnerability of the River Ganges by using a holistic approach. The following four sampling stations were selected: Rishikesh, Haridwar, Kanpur, and Varanasi. These locations were chosen to test the water quality in bio-physical aspects and to assess the social perceptions of river vulnerability among the residents and visitors. Perceptions of river water quality and likely sources of pollution were gathered via the distribution of over 1000 questionnaires. Data collection took place in the winter and summer of 2022 and 2023. The results showed that river water quality is not suitable for drinking purposes at any of the four cities without conventional treatment, and that the river is unsuitable for bathing at all locations, except upstream of Rishikesh. Nearly 50% of those questioned agreed that the river is polluted, whilst 74% agreed that pollution has increased in recent decades, particularly in the last 10 years. These compelling results are critical for policymakers and decision makers. They highlight the urgent need for novel strategies that address Ganges pollution while fostering community health education and environmental management. By dispelling myths surrounding river quality, this study strengthens the ongoing efforts to restore the Ganges, ensuring that it remains a vital lifeline for present and future generations. Full article
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23 pages, 10392 KiB  
Article
Dual-Branch Luminance–Chrominance Attention Network for Hydraulic Concrete Image Enhancement
by Zhangjun Peng, Li Li, Chuanhao Chang, Rong Tang, Guoqiang Zheng, Mingfei Wan, Juanping Jiang, Shuai Zhou, Zhenggang Tian and Zhigui Liu
Appl. Sci. 2025, 15(14), 7762; https://doi.org/10.3390/app15147762 - 10 Jul 2025
Viewed by 264
Abstract
Hydraulic concrete is a critical infrastructure material, with its surface condition playing a vital role in quality assessments for water conservancy and hydropower projects. However, images taken in complex hydraulic environments often suffer from degraded quality due to low lighting, shadows, and noise, [...] Read more.
Hydraulic concrete is a critical infrastructure material, with its surface condition playing a vital role in quality assessments for water conservancy and hydropower projects. However, images taken in complex hydraulic environments often suffer from degraded quality due to low lighting, shadows, and noise, making it difficult to distinguish defects from the background and thereby hindering accurate defect detection and damage evaluation. In this study, following systematic analyses of hydraulic concrete color space characteristics, we propose a Dual-Branch Luminance–Chrominance Attention Network (DBLCANet-HCIE) specifically designed for low-light hydraulic concrete image enhancement. Inspired by human visual perception, the network simultaneously improves global contrast and preserves fine-grained defect textures, which are essential for structural analysis. The proposed architecture consists of a Luminance Adjustment Branch (LAB) and a Chroma Restoration Branch (CRB). The LAB incorporates a Luminance-Aware Hybrid Attention Block (LAHAB) to capture both the global luminance distribution and local texture details, enabling adaptive illumination correction through comprehensive scene understanding. The CRB integrates a Channel Denoiser Block (CDB) for channel-specific noise suppression and a Frequency-Domain Detail Enhancement Block (FDDEB) to refine chrominance information and enhance subtle defect textures. A feature fusion block is designed to fuse and learn the features of the outputs from the two branches, resulting in images with enhanced luminance, reduced noise, and preserved surface anomalies. To validate the proposed approach, we construct a dedicated low-light hydraulic concrete image dataset (LLHCID). Extensive experiments conducted on both LOLv1 and LLHCID benchmarks demonstrate that the proposed method significantly enhances the visual interpretability of hydraulic concrete surfaces while effectively addressing low-light degradation challenges. Full article
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28 pages, 14588 KiB  
Article
CAU2DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data
by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun and Yueyong Pang
Remote Sens. 2025, 17(14), 2359; https://doi.org/10.3390/rs17142359 - 9 Jul 2025
Viewed by 278
Abstract
The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. Current deep learning (DL) methods mainly face [...] Read more.
The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. Current deep learning (DL) methods mainly face challenges such as limited receptive fields and insufficient sensitivity to spatial locations when integrating multi-source remote sensing data, and high-quality datasets that integrate multi-spectral and geoscientific indicators to support them are scarce. In response to these issues, this study proposes a DL model (coordinate-attentive U2-DeepLab network [CAU2DNet]) that integrates multi-source remote sensing data. The model integrates the multi-scale feature extraction capability of U2-Net with the global receptive field advantage of DeepLabV3+ through a dual-branch architecture. Thereafter, the spatial semantic perception capability is enhanced by introducing the CoordAttention mechanism, and ConvNextV2 is adopted to optimize the backbone network of the DeepLabV3+ branch, thereby improving the modeling capability of low-resolution geoscientific features. The two branches adopt a decision-level fusion mechanism for feature fusion, which means that the results of each are weighted and summed using learnable weights to obtain the final output feature map. Furthermore, this study constructs the São Paulo slums dataset for model training due to the lack of a multi-spectral slum dataset. This dataset covers 7978 samples of 512 × 512 pixels, integrating high-resolution RGB images, Normalized Difference Vegetation Index (NDVI)/Modified Normalized Difference Water Index (MNDWI) geoscientific indicators, and POI infrastructure data, which can significantly enrich multi-source slum remote sensing data. Experiments have shown that CAU2DNet achieves an intersection over union (IoU) of 0.6372 and an F1 score of 77.97% on the São Paulo slums dataset, indicating a significant improvement in accuracy over the baseline model. The ablation experiments verify that the improvements made in this study have resulted in a 16.12% increase in precision. Moreover, CAU2DNet also achieved the best results in all metrics during the cross-domain testing on the WHU building dataset, further confirming the model’s generalizability. Full article
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36 pages, 4138 KiB  
Article
Shoulder and Scapular Function Before and After a Scapular Therapeutic Exercise Program for Chronic Shoulder Pain and Scapular Dyskinesis: A Pre–Post Single-Group Study
by Ana S. C. Melo, Ana L. Soares, Catarina Castro, Ricardo Matias, Eduardo B. Cruz, J. Paulo Vilas-Boas and Andreia S. P. Sousa
J. Pers. Med. 2025, 15(7), 285; https://doi.org/10.3390/jpm15070285 - 2 Jul 2025
Viewed by 709
Abstract
Background/Objectives: Scapular adaptations have been associated with shoulder pain. However, conflicting findings have been reported after scapular-focused interventions. The present study aims to evaluate scapula-related outcomes before and after a scapular therapeutic exercise program. Methods: Eighteen adult volunteers with chronic shoulder [...] Read more.
Background/Objectives: Scapular adaptations have been associated with shoulder pain. However, conflicting findings have been reported after scapular-focused interventions. The present study aims to evaluate scapula-related outcomes before and after a scapular therapeutic exercise program. Methods: Eighteen adult volunteers with chronic shoulder pain participated in an 8-week scapular therapeutic exercise program that was personalized according to their pain condition and the presence of scapular dyskinesis. This program included preparation and warm-up, scapular neuromotor control, and strengthening and stretching exercises. Both self-reported (shoulder pain and function, psychosocial factors, and self-impression of change) and performance-based outcomes (scapular muscular stiffness and activity level, tridimensional motion, rhythm, and movement quality, measured while participants drank a bottle of water) were used for analysis. Results: After the intervention, participants presented reduced shoulder pain (p < 0.0001) and pain catastrophizing (p = 0.004) and increased shoulder function (p < 0.0001). Additionally, the participants presented changes in scapular winging (p < 0.0001 to p = 0.043), increased scapular downward rotation (p < 0.0001) and depression (p = 0.038), and decreased global movement smoothness (p = 0.003). These were associated with changes in serratus anterior activity (p = 0.016 to p = 0.035), decreased middle (p < 0.0001 to p = 0.002) and lower trapezius (p < 0.0001) and levator scapulae (p = 0.048) activity levels, and decreased middle trapezius muscle stiffness (p = 0.014). Patients’ self-perception of change was rated favorably. Conclusions: After a scapular therapeutic exercise program, changes were observed in both self-reported and performance-based outcomes. These results need to be confirmed by a randomized controlled trial. Full article
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17 pages, 2583 KiB  
Article
A Survey Analysis Comparing Perceptions of Plastic Use in Nurseries and Greenhouses in the United States
by Alexa J. Lamm, James S. Owen, James Altland and Sarah A. White
Land 2025, 14(7), 1383; https://doi.org/10.3390/land14071383 - 1 Jul 2025
Viewed by 387
Abstract
Plastic is extensively used in nursery and greenhouse operations. Concerns are growing about the potential release of plastic byproducts, such as microplastics and per- and poly-fluoroalkyl substances (PFAS), into water resources. The purpose of this study was to (1) compare perceptions of plastic [...] Read more.
Plastic is extensively used in nursery and greenhouse operations. Concerns are growing about the potential release of plastic byproducts, such as microplastics and per- and poly-fluoroalkyl substances (PFAS), into water resources. The purpose of this study was to (1) compare perceptions of plastic use and water quality impacts between scientists researching water contaminants and nursery/greenhouse growers, (2) identify barriers to growers reducing plastic use, and (3) explore preferred communication channels for scientists to inform growers about emerging research. An online survey was administered to collect data from scientists in a USDA-funded multi-state Hatch project (N = 20) and nursery/greenhouse growers (N = 66) across the United States. The findings indicated both groups were unsure of the impacts of plastic use. While most respondents perceived surface water pollution as a critical issue, neither scientists nor growers strongly agreed on-farm plastic use poses a significant threat. Both groups recognized the importance of regular water testing, but few believed mandatory changes to plastic use should be enacted without further evidence. Growers cited limited equipment, financial constraints, and uncertain availability of viable plastic alternatives as key barriers. Despite these barriers, growers were willing to learn more, primarily through online resources, short courses, and workshops. The findings underscore the need for targeted research that quantifies plastic byproducts in nursery/greenhouse water and identifies cost-effective alternatives. Timely dissemination of scientific findings using trusted sources will be critical to bridge knowledge gaps and support adoption of best practices to safeguard water quality in surface and groundwater. Full article
(This article belongs to the Special Issue Integrating Climate, Land, and Water Systems)
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42 pages, 1954 KiB  
Review
Beyond Meat Substitution: A Multifaceted Review of Plant-Based and Alternative Proteins, from Environmental Impact to Analytical Technologies
by Abel Navarré, Leonardo Musto and Tiago Nazareth
Foods 2025, 14(13), 2312; https://doi.org/10.3390/foods14132312 - 30 Jun 2025
Viewed by 1372
Abstract
The escalating environmental and health concerns regarding conventional meat consumption have intensified the global search for sustainable dietary alternatives. Plant-based foods and meat substitutes have emerged as promising solutions. These products aim to replicate the sensory and nutritional attributes of meat while mitigating [...] Read more.
The escalating environmental and health concerns regarding conventional meat consumption have intensified the global search for sustainable dietary alternatives. Plant-based foods and meat substitutes have emerged as promising solutions. These products aim to replicate the sensory and nutritional attributes of meat while mitigating ecological impacts. This review examined the current scenario of plant-based foods and meat substitutes, focusing on their environmental footprints, health implications, innovative ingredient developments, consumer acceptance, and the use of analytical tools in quality control. Life cycle assessments indicate that plant-based foods and meat substitutes significantly reduce greenhouse gas emissions, land use, and water consumption compared to animal-based products. These alternatives offer benefits like lower saturated fat. However, they still struggle to match the amino acid composition of meat. Consumer acceptance is influenced by factors including taste, texture, and cultural perceptions, and still requires sensory improvement. Innovations in ingredient sourcing, like the use of legumes, mycoproteins, and fermentation-derived components, are enhancing product quality and diversity. Furthermore, analytical tools such as electronic noses, electronic tongues, spectroscopy, and chemometric methods ensure product consistency and fulfill consumer expectations. By synthesizing interdisciplinary insights, this review offers an integrated perspective to guide future research and development in the field of meat alternatives. Full article
(This article belongs to the Special Issue Feature Review on Food Analytical Methods)
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23 pages, 3899 KiB  
Article
YOLO-PWSL-Enhanced Robotic Fish: An Integrated Object Detection System for Underwater Monitoring
by Lingrui Lei, Ying Tang, Weidong Zhang, Quan Tang and Haichi Hao
Appl. Sci. 2025, 15(13), 7052; https://doi.org/10.3390/app15137052 - 23 Jun 2025
Cited by 1 | Viewed by 414
Abstract
In recent years, China has been promoting aquaculture, but extensive water pollution caused by production activities and climate changes has resulted in losses exceeding 4.6 × 107 kg of aquatic products. Widespread water pollution from production activities is a key issue that [...] Read more.
In recent years, China has been promoting aquaculture, but extensive water pollution caused by production activities and climate changes has resulted in losses exceeding 4.6 × 107 kg of aquatic products. Widespread water pollution from production activities is a key issue that needs to be addressed in the aquaculture industry. Therefore, dynamic monitoring of water quality and fish-specific solutions are critical to the growth of fry. Here, a low-cost, small, and real-time monitorable bionic robotic fish based on YOLO-PWSL (PConv, Wise-ShapeIoU, and LGFB) is proposed to achieve intelligent control of aquaculture. The bionic robotic fish incorporates a caudal fin for propulsion and adaptive buoyancy control for precise depth regulation. It is equipped with various types of sensors and wireless transmission equipment, which enables managers to monitor water parameters in real time. It is also equipped with YOLO-PWSL, an improved underwater fish identification model based on YOLOv5s. YOLO-PWSL integrates three key enhancements. In fact, we designed a multilevel attention fusion block (LGFB) that enhances perception in complex scenarios, to optimize the accuracy of the detected frames, the Wise-ShapeIoU loss function was used, and in order to reduce the parameters and FLOPs of the model, a lightweight convolution method called PConv was introduced. The experimental results show that it exhibits excellent performance compared with the original model: the mAP@0.5 (mean average precision at the 0.5 IoU threshold) of the improved model reached 96.1%, the number of parameters and the amount of calculation were reduced by 1.8 M and 3.1 G, respectively, and the detected leakage was effectively reduced. In the future, the system will facilitate the monitoring of water quality and fish species and their behavior, thereby improving the efficiency of aquaculture. Full article
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22 pages, 5529 KiB  
Article
From Perception to Action: Air Pollution Awareness and Behavioral Adjustments in Pregnant Women in Serbia
by Ana Susa, Milica Zekovic, Dragana Davidovic, Katarina Paunovic, Vera Kujundzic, Sladjana Mihajlovic and Ljiljana Bogdanovic
Healthcare 2025, 13(12), 1475; https://doi.org/10.3390/healthcare13121475 - 19 Jun 2025
Viewed by 538
Abstract
In regions with sustained air pollution, the adoption of protective health behaviors is critical, particularly among pregnant women—a population marked by physiological vulnerability and heightened receptivity to preventive guidance. Understanding and supporting patient-driven behavioral change requires attention to individual perception and awareness, which [...] Read more.
In regions with sustained air pollution, the adoption of protective health behaviors is critical, particularly among pregnant women—a population marked by physiological vulnerability and heightened receptivity to preventive guidance. Understanding and supporting patient-driven behavioral change requires attention to individual perception and awareness, which are shaped by socio-economic and spatial factors, as well as access to credible information. Objectives: This study investigates how pregnant women in Serbia perceive air quality, identifies determinants that influence these perceptions, and evaluates the extent and nature of behavioral adaptations undertaken to mitigate exposure-related risks. Methods: A cross-sectional survey was conducted among 279 pregnant women using a structured, researcher-administered questionnaire. Collected data included demographic and psychosocial variables, air quality perceptions, self-reported health effects, and behavioral responses. Residential proximity to land-use attributes was assessed using GIS-based spatial analysis. Results: Most participants perceived air quality as poor (68.8%), primarily informed by unofficial sources such as mobile applications and social media. Living close to continuous urban fabric (OR = 0.180, 95% CI: 0.059–0.558, p = 0.003) and water (OR = 0.306, 95% CI: 0.127–0.738, p = 0.008) was associated with poorer perceptions, while proximity to forests (OR = 2.938, 95% CI: 1.323–6.525, p = 0.008) correlated with more favorable assessments. Despite prevalent concern, around half of respondents (50.2%) reported no behavioral modifications. Importantly, none had received guidance from healthcare professionals on the topic. Conclusions: These findings highlight critical gaps in environmental health literacy and provider engagement. Integrating tailored communication and behavioral support in existing prenatal counseling could advance health-related quality of life in this vulnerable population. Full article
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18 pages, 1587 KiB  
Article
Comparative Study on Consumers’ Behavior Regarding Water Consumption Pattern
by Horea-George Crișan, Oana-Adriana Crișan, Florina Șerdean, Corina Bîrleanu and Marius Pustan
Water 2025, 17(12), 1755; https://doi.org/10.3390/w17121755 - 11 Jun 2025
Viewed by 712
Abstract
The quality of water and its impact on consumers’ health has been studied extensively, along with concerns surrounding the use of polyethylene terephthalate (PET) packaging. This research aimed to analyze consumer behavior regarding water consumption patterns, with a focus on sustainability, packaging preferences, [...] Read more.
The quality of water and its impact on consumers’ health has been studied extensively, along with concerns surrounding the use of polyethylene terephthalate (PET) packaging. This research aimed to analyze consumer behavior regarding water consumption patterns, with a focus on sustainability, packaging preferences, and perceptions of drinking water quality. Two surveys, conducted in 2019 and 2024, used a 23-question structured questionnaire to assess the public willingness to prevent water waste in the context of the circular economy. The surveys addressed consumer identification, drinking water preferences, the awareness of alternative consumption methods, and the openness to sustainable solutions such as water filters. Key quantitative findings showed a 10.4% increase in the amount of bottled water purchased in a single trip and a 12.1% rise in the frequency of weekly purchases, particularly among women and younger consumers. Simultaneously, a 4% increase in the preference for PET packaging over glass raised concerns about environmental sustainability, while the preference for tap water dropped by 5%, correlated with a 4.2% decline in the perceived tap water quality. The brand preference also shifted notably, with Aqua Carpatica rising to 38% and Borsec declining from 37% to 16%, reflecting the influence of purity-focused marketing. The novelty of the approach lay in identifying emerging trends related to sustainability, health, and circular economy principles. A comparative analysis of Romanian citizens’ responses over time highlighted changing perceptions of water use and waste reduction. To support the analysis, 13 statistical indicators were evaluated, a Spearman correlation test was applied to 13 criteria, descriptive statistics were computed, and a t-test was conducted across eight hypotheses. Full article
(This article belongs to the Special Issue Mathematical and Statistical Modeling Methods in Wastewater Treatment)
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13 pages, 843 KiB  
Review
Advancing Zebrafish (Danio rerio) Welfare Using Immersion Analgesics
by Cláudia A. Rocha, Luís M. Félix, Sandra M. Monteiro and Carlos Venâncio
Vet. Sci. 2025, 12(6), 571; https://doi.org/10.3390/vetsci12060571 - 11 Jun 2025
Viewed by 594
Abstract
Growing evidence of pain perception in fish has raised concerns about their welfare in different contexts, including research and aquaculture, where potentially painful procedures are standard. Despite ongoing efforts to advance fish analgesia, the field remains underdeveloped, particularly regarding less invasive methods that [...] Read more.
Growing evidence of pain perception in fish has raised concerns about their welfare in different contexts, including research and aquaculture, where potentially painful procedures are standard. Despite ongoing efforts to advance fish analgesia, the field remains underdeveloped, particularly regarding less invasive methods that could improve welfare, such as immersion-based analgesia. As one of the most widely used models in research, zebrafish (Danio rerio) are often at the front of these concerns. This review aimed to consolidate the current knowledge on immersion analgesics by analyzing the behavioral responses of zebrafish exposed to noxious stimuli. Some promising immersion analgesics were identified; however, further research is needed to assess their effects on additional parameters and investigate potential adverse effects. These findings underscore the importance of selecting appropriate analgesics, as their effectiveness may vary depending on the duration and severity of the stimulus. Moreover, this review highlights the critical role of consistent water quality monitoring and detailed parameter reporting, as these factors may influence analgesic efficacy and compromise fish welfare. As research advances, applying these insights beyond zebrafish to other fish species will be crucial for promoting higher welfare standards. Full article
(This article belongs to the Section Veterinary Physiology, Pharmacology, and Toxicology)
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21 pages, 376 KiB  
Article
Barriers and Challenges in the Implementation of Decentralized Solar Water Disinfection Treatment Systems—A Case of Ghana
by Abdul-Rahaman Afitiri and Ernest Kofi Amankwa Afrifa
Solar 2025, 5(2), 25; https://doi.org/10.3390/solar5020025 - 31 May 2025
Viewed by 895
Abstract
Decentralized solar water disinfection systems (DSODIS) in continuous flow systems are alternatives for large-scale improved water access in rural contexts. However, DSODIS in rural Ghana are limited. An exploratory sequential mixed-methods design was used to explore the enablers of and barriers to, as [...] Read more.
Decentralized solar water disinfection systems (DSODIS) in continuous flow systems are alternatives for large-scale improved water access in rural contexts. However, DSODIS in rural Ghana are limited. An exploratory sequential mixed-methods design was used to explore the enablers of and barriers to, as well as reported barrier perceptions to, the effective implementation of DSODIS in the Sawla-Tuna-Kalba (STK) District of Ghana. The qualitative data (26 respondents) were analyzed thematically, and the quantitative data (1155 household heads) were subjected to Poisson regression analyses. Enablers were categorized into themes such as willingness to pay for DSODIS, household and community participation, and willingness to use water from DSODIS. Similarly, the barriers include environmental barriers, technological barriers, economic barriers, and political and legal barriers. Household characteristics such as main water source and income, age group, education, marital status, household size, being born in the community, and years living in the community are statistically associated with reported barrier perceptions. Households with unimproved water sources and high income (IRR = 1.432, p = 0.000) and improved water sources and high income (IRR = 1.295, p = 0.000) are 43% and 30% more likely, respectively, to report more barrier perceptions compared with households with unimproved water sources and low income. Females (IRR = 1.070, p = 0.032) are marginally more likely to report more barrier perceptions compared with males. The model output also indicates that household heads with higher educational attainment (IRR = 1.152, p = 0.001) are 15% more likely to report more barrier perceptions compared with those with no formal education. These findings provide valuable information for policymakers and stakeholders aiming to provide quality water in rural Ghana where centralized systems cannot be installed. Full article
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