Search Results (1,313)

Background: As early as 1995, the Institute of Medicine suggested that nurses were inadequately prepared for and educated about climate change and its health consequences. The aim of this systematic review is to identify the most reliable, robust, and valid instruments for measuring nurses’ knowledge and awareness of climate change and climate-associated diseases. Methods: Included studies were appraised using the Mixed-Methods Appraisal Tool and the Appraisal tool for Cross-Sectional Studies. The psychometrics and clinimetrics of the instruments were evaluated using the COSMIN Risk of Bias checklist and the COSMIN methodology for assessing content validity. Results: Medline, PubMed, Embase, CINAHL Ebesco, Cochrane Library Wiley, Web of Science Core Collection, Trip Database, JBI OVID SP, GreenFILE EBSCO, Google Scholar, ProQuest Dissertations and Theses Global, and DART-EU were consulted. The 14 studies retained identified eight different instruments evaluating attitudes, perceptions, environmental awareness, environmental sensitivity, environmental attitudes, behaviours, motivation, concern, optimism, and experience. This review is reported according to the PRISMA guidelines. Conclusions: The New Ecological Paradigm Scale (NEPS) and the Climate, Health, and Nursing Tool (CHANT) are the most reliable, robust, and valid instruments for measuring nurses’ knowledge and awareness of climate change and climate-associated diseases. Full article

A good diet during pregnancy is associated with improvements to maternal and fetal health. Nevertheless, excessive weight gain during pregnancy has been reported in several studies. The aim of this review is to determine the dietary habits of pregnant women (measured according to their degree of adherence to the Mediterranean diet, a reference in dietary quality), their knowledge of food and nutrition, and their perceptions of the nutritional education received during their pregnancy, in order to detect intervention needs within that group. The bibliographic search was conducted on three databases (Medline, PubMed central, and Web of Science), using the keywords “pregnancy”, “Mediterranean diet”, “nutrition knowledge”, “nutritional education”, and some synonyms. The final selection included 68 original articles. The available evidence indicated that, although pregnant women were aware of the importance of nutrition during pregnancy, their habits showed some room for improvement in terms of diet and physical exercise. Lack of adequate advice was the main barrier to the practice of healthy habits that pregnant women encountered; they considered that the information they received during pregnancy follow-up visits was inadequate. However, the success of interventions within different countries is a source of hope for well-structured nutrition education throughout pregnancy. The lack of nutrition-related knowledge among pregnant women could be originally related to poorly planned nutrition education from healthcare providers. Research focused on the consultations with these healthcare providers could be of help when proposing strategies to improve the content, the depth, and the duration of nutrition education sessions. It should, in any case, be noted that the available evidence in this field is limited to certain geographical origins. Therefore, research that uncovers evidence in different countries will be useful for learning about the factors that condition the habits of pregnant women and, in that way, guide strategies for the improvement of the health of expectant mothers during that stage in their lives. Full article

Social–emotional learning (SEL) is recognized as an important component of the educational system, significantly impacting student success. This study aims to examine how Arabic language textbooks used in Arab elementary schools in Israel serve as tools for developing social–emotional skills, beyond their role in language instruction. Using a content analysis and semiological analysis on nine ‘Arabic Our Language’ textbooks for Grades 1 to 6, the findings revealed that all categories of social–emotional skills defined by CASEL were represented, but with an imbalance in their prevalence. Interpersonal relationship skills were the most frequent, while social awareness was the least represented, despite its importance in the Israeli context, which is the context in which this study takes place. Additionally, lower grades (1–3) showed a lack of SEL content compared to higher grades (4–6), even though an early integration of these skills is more effective. Furthermore, the SEL content did not always align with the fundamental principles for optimal implementation. This study emphasizes the need for curricula and textbooks in Arabic language education that are adapted to each developmental stage and tailored to the Israeli socio-cultural context. The findings underscore the critical role of Arabic language textbooks in fostering a holistic educational experience, preparing students for both academic and social success, and serve as a call to action for curriculum designers and textbook authors to integrate social–emotional learning in linguistic educational materials. Full article

Oenophiles are aware that the temperature at the time of drinking can profoundly shape wine’s sensory attributes. Wine is usually served and drunk below room temperature but warms up after pouring due to heat exchange with warmer surroundings. This study investigates how quickly wine warms up in a wine glass and identifies the relevant heating effects. A numerical simulation using conjugate heat transfer is established, representing the complex multi-physical process. Experiments are conducted to validate the simulation. It is shown that the simulation must take into account thermal conduction, convection, and even radiation to provide accurate results. Without simulating radiation and convection of the room air, the predicted temperature is off by 66.3% or $3.3 °\mathrm{C}$. As warming is independent of the alcohol content, the simulation results are valid for non-sparkling wine types with moderate sugar levels within the considered configuration. A parameter study investigated the temperature increase over time depending on the ambient temperature and the initial wine temperature for 150 mL wine in a medium-sized red wine glass. The results can provide information on preparing a wine to obtain the desired drinking temperature. Full article

Knowing about a danger is not enough to avoid it. Our daily lives offer countless examples of occasions in which we act imprudently for various reasons, even though we know we are taking risks. Nevertheless, circumstances in which we lack the necessary knowledge can lead us to run into unpleasant or harmful situations without being aware of it. In cybersecurity, knowledge of the dangers (as well as the mechanics of a possible attack) makes a huge difference. This is why specific training is provided in organizations, along with awareness campaigns. However, security training is often generic, boring, and a mere fulfillment of obligations rather than a tool for behavioral change. Today, we can deliver content through various devices and platforms that people access for both work and leisure, so that learning can happen incidentally and with almost no effort. Distributing knowledge in small, dedicated units creates the conditions for lasting, effective learning and is more effective than teaching through traditional courses (whether delivered in-person or online). In this article, we present an ongoing project on cybersecurity informal learning, including the design of a small video game. The intervention is aimed at helping young adults (18–25 years) to understand the mechanics of cookies and their role in the dynamics of cyberattacks. Consistent with the idea that a comprehensive course may be unsuitable for delivering cybersecurity training, the game covers and deliberately limits itself to that topic only. We also provide detailed considerations related to the evaluation of its effectiveness, although this is outside the scope of the present paper. Full article

Background: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. Objective: Due to the novelty and limited literature on its risks/benefits, this paper aims to determine how young nursing students perceive DeepFake technology, its ethical implications, and its potential benefits in nursing. Methods: This qualitative study used thematic content analysis (the Braun and Clarke method) with videos recorded by 50 third-year nursing students, who answered three questions about DeepFake technology. The data were analyzed using ATLAS.ti (version 22), and the project was approved by the Ethics Committee (code UCV/2021–2022/116). Results: Data analysis identified 21 descriptive codes, classified into four main themes: advantages, disadvantages, health applications, and ethical dilemmas. Benefits noted by students include use in diagnosis, patient accompaniment, training, and learning. Perceived risks include cyberbullying, loss of identity, and negative psychological impacts from unreal memories. Conclusions: Nursing students see both pros and cons in DeepFake technology and are aware of the ethical dilemmas it poses. They also identified promising healthcare applications that could enhance nurses’ leadership in digital health, stressing the importance of regulation and education to fully leverage its potential. Full article

Traditional rice varieties (Oryza sativa L.) from Sri Lanka are less popular due to limited consumer awareness. Demand is influenced by grain quality, cooking properties, sensory attributes, and nutritional value. This study compared traditional white rice varieties with improved ones and examined the Nipponbare Japonica variety. Milling quality varied significantly (p < 0.05) across traditional varieties, except for bran percentage. Head rice percentages ranged from 61.05 to 74.28%, and broken rice percentages ranged from 1.98 to 43.04%. Nipponbare had 48.77% of head rice and 20.78% of broken rice. Rice sizes ranged from short to long, and shapes varied from round to medium. All selected varieties had a hard gel consistency and high amylose content, except Nipponbare. Cooking parameters like elongation ratio, cooked length-to-breadth ratio, water uptake, volume expansion ratio, and cooking time showed significant differences (p < 0.05). Rathal, Suduru Samba, Suwendel, and Kahawunu are comparable to improved varieties in milling and cooking quality. The milling quality of Nipponbare is similar to improved varieties, but its cooking characteristics are intermediate compared to traditional and improved varieties. Full article

Radon is, after tobacco, the most frequent cause of lung cancer. Communicating about its risks with a didactic perspective so that citizens become aware and take action to avoid radon remains a challenge. This research is framed in Spain, where 17% of the territory exceeds the maximum radon limits allowed by the WHO, and aims to study the role and impact of the media in radon risk communication. A mixed methodological design is applied, combining content analysis of news published in the last two decades by local media in the most affected areas with interviews with journalists and a survey of citizens to provide a multi-perspective approach. The results show that, although news coverage of radon is becoming more frequent, it is a topic that fails to position itself on the agenda for effective communication. The media are the most frequent source of information on radon, although they are not considered by the public the most trustworthy one. News stories about radon focus mainly on health and research to inform about the radon levels to which citizens are exposed and the risks associated with cancer. Collaborative strategies between the media, organizations, and public administration seem key to advancing the fight against radon. Full article

Financial literacy plays a crucial role in individuals’ decision-making processes. The paper aims to thoroughly identify the financial literacy needs and challenges of adults with low financial literacy living in rural areas. The paper presents the results of a focus group study conducted among a target group (35 people) and interviews with financial experts (14 people) in the first quarter of 2023. The study allows us to identify common areas of financial knowledge crucial for adults with low financial literacy living in rural areas. The study was conducted in seven European countries as part of the Erasmus+ project “Learning by Experiencing Escape Rooms: Financial Literacy for Adults (FLER)”. Key findings from the study revealed that participants exhibited low awareness of financial fraud and expressed a need to protect personal information when using digital platforms. There was a clear demand for improved knowledge in certain areas, such as budgeting, emergency funds, balancing risk and reward, and planning for retirement or long-term savings. Participants consistently viewed gamification as a valuable tool for enhancing their understanding of financial topics. The contribution of our study is that we narrow the research gap on the needs and challenges related to financial literacy among rural residents. The results will help pinpoint specific areas of financial knowledge and competencies that are particularly important for adults with low financial literacy. Moreover, these insights are crucial for developing educational content integrated into a virtual escape room to improve financial literacy through engaging, scenario-based learning. Full article

In the digital age, personalized recommendation systems have become crucial for information dissemination and user experience. While traditional systems focus on accuracy, they often overlook diversity, novelty, and serendipity. This study introduces an innovative recommendation system model, Time-based Outlier Aware Recommender (TOAR), designed to address the challenges of content homogenization and information bubbles in personalized recommendations. TOAR integrates Neural Matrix Factorization (NeuMF), Bidirectional Long Short-Term Memory Networks (Bi-LSTM), and Mean Shift clustering to enhance recommendation accuracy, novelty, and diversity. The model analyzes temporal dynamics of user behavior and facilitates cross-domain knowledge exchange through feature sharing and transfer learning mechanisms. By incorporating an attention mechanism and unsupervised clustering, TOAR effectively captures important time-series information and ensures recommendation diversity. Experimental results on a news recommendation dataset demonstrate TOAR’s superior performance across multiple metrics, including AUC, precision, NDCG, and novelty, compared to traditional and deep learning-based recommendation models. This research provides a foundation for developing more intelligent and personalized recommendation services that balance accuracy with content diversity. Full article

Aiming at the problem that insulator image backgrounds are complex and fault types are diverse, which makes it difficult for existing deep learning algorithms to achieve accurate insulator fault diagnosis, an insulator fault diagnosis method based on multi-mechanism optimization YOLOv8-DCP is proposed. Firstly, a feature extraction and fusion module, named CW-DRB, was designed. This module enhances the C2f structure of YOLOv8 by incorporating the dilation-wise residual module and the dilated re-param module. The introduction of this module improves YOLOv8’s capability for multi-scale feature extraction and multi-level feature fusion. Secondly, the CARAFE module, which is feature content-aware, was introduced to replace the up-sampling layer in YOLOv8n, thereby enhancing the model’s feature map reconstruction ability. Finally, an additional small-object detection layer was added to improve the detection accuracy of small defects. Simulation results indicate that YOLOv8-DCP achieves an accuracy of 97.7% and an [email protected] of 93.9%. Compared to YOLOv5, YOLOv7, and YOLOv8n, the accuracy improved by 1.5%, 4.3%, and 4.8%, while the [email protected] increased by 3.0%, 4.3%, and 3.1%. This results in a significant enhancement in the accuracy of insulator fault diagnosis. Full article

Wind turbine blades (WTBs) are prone to damage from their working environment, including surface peeling and cracks. Early and effective detection of surface defects on WTBs can avoid complex and costly repairs and serious safety hazards. Traditional object detection methods have disadvantages of insufficient detection capabilities, extended model inference times, low recognition accuracy for small objects, and elongated strip defects within WTB datasets. In light of these challenges, a novel model named DCW-YOLO for surface damage detection of WTBs is proposed in this research, which leverages image data collected by unmanned aerial vehicles (UAVs) and the YOLOv8 algorithm for image analysis. Firstly, Dynamic Separable Convolution (DSConv) is introduced into the C2f module of YOLOv8, allowing the model to more effectively focus on the geometric structural details associated with damage on WTBs. Secondly, the upsampling method is replaced with the content-aware reassembly of features (CARAFE), which significantly minimizes the degradation of image characteristics throughout the upsampling process and boosts the network’s ability to extract features. Finally, the loss function is substituted with the WIoU (Wise-IoU) strategy. This strategy allows for a more accurate regression of the target bounding boxes and helps to improve the reliability in the localization of WTBs damages, especially for low-quality examples. This model demonstrates a notable superiority in surface damage detection of WTBs compared to the original YOLOv8n and has achieved a substantial improvement in the [email protected] metric, rising from 91.4% to 93.8%. Furthermore, in the more rigorous [email protected]–0.95 metric, it has also seen an increase from 68.9% to 71.2%. Full article

Background: Patient adherence to drug treatment is crucial to the success of any prescribed therapy, especially in chronic conditions. The present phenomenological qualitative study aims to explore the elderly experience in managing their medication therapy and their perception of medication adherence. Methods: Based on Husserl’s perspective, a qualitative descriptive study was conducted utilizing the phenomenological approach, specifically Interpretative Phenomenological Analysis (IPA). The data analysis followed Giorgi’s phenomenological approach and the inductive content analysis method. Approval for the study was obtained from the relevant Ethics Committee. Results: Themes emerged when participants described experiences about their own adherence to therapy. The following general theme emerged from the interviews and the phenomenological analysis: Generating awareness: taking therapy saves your life. It was followed by three other themes: (1) Drug therapy awareness; (2) Drug therapy in daily life; and (3) Drug therapy as a life partner. Conclusions: Elderly patients undergoing polypharmacological treatment emphasize the key factors for improving medication adherence, highlighting the influence of individual, motivational, and relational aspects. They express a strong desire for information and value the support of family doctors and nurses in managing therapy. Patient interviews indicate general support among elderly patients for using mobile health in pharmacological treatment, recognizing its potential and limitations. Full article

This study aims to create and validate the Carbon Footprint Awareness Scale, which is designed to measure individuals’ awareness of their environmental impact through greenhouse gas emissions and represented as carbon dioxide equivalents. The scale consists of 19 items on a 5-point Likert scale, which are organized around five key areas: transportation (3 items), fuel consumption (3 items), electricity use (5 items), food consumption (5 items), and waste management (3 items). Expert evaluations and a pilot study confirmed the content validity of the scale. A sample of 553 Gen Z participants was analyzed using reliability testing, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) with AMOS and SPSS to establish the scale’s construct validity and reliability. The results show a solid factor structure with good internal consistency (Cronbach’s alpha = 0.86) and an explained variance of 56.09%. A second sample (n = 612) was used to confirm the findings, further supporting the scale’s psychometric robustness and effectiveness in evaluating carbon footprint awareness in individuals aged 18 and over. This innovative tool not only supports rigorous scientific inquiry into individual carbon footprints but also empowers individuals to play an active role in global efforts to mitigate climate change. By fostering awareness, informing decision making, and promoting sustainable behaviors, the Individual Carbon Footprint Scale contributes to building resilience and sustainability in communities worldwide, ensuring a healthier planet for present and future generations. Full article

The multiple changes in population, economy, and social structure have significantly impacted China’s traditional home-based elderly care and social welfare. The importance of institutional care is becoming increasingly prominent. One of the critical considerations for the development of institutional care is its social sustainability, which pursues the realization of human well-being and aims to bring about good quality of life. However, this issue has not received due attention. The purpose of this paper is to investigate the social sustainability of the institutional care environment. Based on stakeholder theory and content analysis, this research identified and discussed the problems of the institutional care environment mentioned in the news coverage on eight major Chinese portal websites. The results indicate that seven of the eight problems that employees, the elderly, and their relatives encounter in providing and receiving elderly care services in the institutional environment are related to social sustainability. Employees’ health and safety is a concern; they lack education and training opportunities and have been unequally treated in the employment process. The elderly’s psychological, physical, and safety needs should also be further satisfied. Unequal access to institutional care and the inaccessibility of elderly care institutions is another problem that needs to be solved urgently. These findings will help government departments and investors become aware of the issues and implement countermeasures to create a successful, socially sustainable institutional care environment. They can also provide valuable insights for the elderly and their relatives in choosing appropriate elderly care institutions. Full article