Search Results (19,417)

Quadrotor unmanned aerial vehicles (UAVs) operating in complex and dynamic environments, especially when subjected to unknown disturbances such as wind, can experience significant degradation in the stability of trajectory tracking control. Current research on UAV control has proposed algorithms that exhibit good disturbance rejection capabilities for small and weak disturbances, but their effectiveness decreases significantly as the disturbance magnitude increases. To address this issue, this paper proposes a hybrid control strategy that combines a Radial Basis Function Neural Network (RBFNN) with Integral Terminal Sliding Mode Control (ITSMC). The RBFNN is designed as an online disturbance observer, capable of estimating and compensating external disturbance forces and torques in real time, with an adaptive weight law. The ITSMC utilizes an integral term to eliminate steady-state errors and a terminal sliding mode term to achieve finite-time convergence of tracking errors. Simulation results demonstrate that the proposed controller maintains high-precision trajectory tracking and attitude control performance under various disturbance conditions, exhibiting strong robustness and anti-disturbance capability, and outperforms other controllers in overall performance. Full article

Background: This study aimed to contribute to the growing empirical interest in the role of positive body image in the context of breastfeeding. Research Aim: We examined the association between positive attitudes toward breastfeeding and breastfeeding intentions among postpartum women and investigated the mediation of functionality appreciation. Method: A total of 305 women who had given birth within the past 1 to 3 months (M = 34.11 years) participated in the study. Women completed a questionnaire assessing breastfeeding attitudes, appreciation of breastfeeding functionality, breastfeeding intentions, previous breastfeeding experience, as well as Body Mass Index and sociodemographic and obstetric characteristics. A mediation model was used to examine direct and indirect associations between attitudes toward breastfeeding, breastfeeding intentions, and functionality appreciation. Results: Results showed significant associations between positive attitudes towards breastfeeding, breastfeeding intentions, and functionality appreciation. Positive attitudes toward breastfeeding were positively associated with breastfeeding intentions (β = 0.63, p < 0.001) and with functionality appreciation (β = 0.51, p < 0.001), with functionality appreciation accounting for a significant indirect association (β = 0.21, 95% CI [0.14, 0.29]). Finally, previous breastfeeding experience was positively associated with breastfeeding intentions (β = 0.15, p < 0.001). Conclusions: This study marks the initial attempt to examine the significance of functionality appreciation in postpartum women, highlighting potential associations between breastfeeding attitudes and breastfeeding intentions. These findings may offer preliminary insights for future research and for informing the development of targeted interventions, although further evidence from more diverse populations is needed. Full article

Building users are key participants in demand response (DR) markets, providing significant flexible resources. Due to uncertainty in market clearing prices, various risk-based decision models have been developed to describe their bidding behavior, typically assuming constant risk preferences. However, empirical evidence indicates that users’ risk attitudes vary with the magnitude of load adjustments. To capture this feature, this paper introduces mental accounting theory to model the risk-aware bidding behavior of building users. Total response capacity is divided into three independent mental accounts based on air-conditioning setpoint adjustment magnitude, representing risk-averse, risk-neutral, and risk-seeking behaviors. This framework allows multiple risk preferences to be represented within a unified bidding model. For each account, response quantity and cost models are developed. Bidding strategies under uncertain market clearing prices are formulated by incorporating loss aversion. A multi-agent simulation framework, including building users, a load aggregator, and a grid operator, is established to simulate the market clearing process. A simulation study is conducted using 19 building clusters located in Zhuhai, China. The proposed model is compared with a single-bid model and a step-wise bidding model with constant risk preferences. The results show that it better captures building users’ multiple risk preferences under market clearing price uncertainty. Users tend to secure stable returns through responses with minimal comfort loss, while pursuing excess profits via higher bids for responses involving greater comfort sacrifices. Full article

This article deals with the attitudes of residents of the border village of Ubľa toward the arrival of foreign nationals in the Slovak Republic, with a particular focus on individuals who left Ukraine because of the international armed conflict between Russia and Ukraine. The aim of this research is to assess the impact of this migratory movement on the perceived quality of life of local inhabitants living near the border crossing and to identify potential measures for improvement. This study is based on a review of the current state of the issue in both national and international contexts, serving as a theoretical foundation for the empirical part of this study. This study was conducted using the Computer-Assisted Web Interviewing (CAWI) method to examine residents’ attitudes toward foreign nationals in general, toward arrivals from Ukraine specifically, and toward the management of the crisis declared in 2022 in response to their arrival. Data were analyzed using descriptive and analytical statistics. The results indicate significant differences in respondents’ attitudes depending on their level of education, with university-educated respondents being approximately twice as likely to express more positive attitudes toward the arrival of foreign nationals and refugees from Ukraine compared to respondents with secondary education, who tended to hold more negative views. Full article

Understanding individuals’ connection to nature is crucial for promoting sustainable attitudes and behaviors. The environmental identity (EID) scale, widely used to assess this connection, plays a key role in environmental research; however, its cross-cultural application requires rigorous psychometric validation. Although the revised 14-item EID scale has demonstrated good reliability, questions remain regarding its dimensionality and the potential influence of acquiescence due to exclusively positive worded items. This study examined both issues in Portuguese samples. In Study 1, exploratory and confirmatory factor analyses were conducted to test the factorial structure. Results supported a two-factor model with correlated dimensions: Reflective Connection to Nature (RCN) and Ecological Identity (EI), rather than a strictly unidimensional solution. In Study 2 acquiescence was assessed by comparing the original version with a balanced version that included partially reverse-worded items. Item distributions, factor loadings, and reliability were analyzed. The balanced version did not improve control of acquiescence; instead, reversed-worded items showed weaker loadings, lower explanation variance, and method effects, suggesting increased measurement bias. Overall, the findings support the robustness of the revised 14-item EID scale in Portugal while indicating that environmental identity is better conceptualized as a bidimensional construct portraying both reflective connection and identity-based engagement with nature. The results also highlight the limitations of reverse-worded items as a strategy for reducing response bias in value-laden constructs. Full article

Accurate estimation of object attitude is essential for understanding motion behavior and achieving dynamic tracking. Existing image-based methods often suffer from low efficiency and limited accuracy, while the potential of deep learning has not been fully exploited in this field. To address these limitations, a lightweight deep learning method for attitude estimation is proposed and validated on spherical particles. A synthetic dataset is generated through VTK-based rendering and automatic annotation, providing large-scale training samples with known Euler angles. An improved MobileNetV1 backbone is developed by integrating Squeeze-and-Excitation blocks, a dual-scale Pyramid Pooling Module, global average pooling, and a regression-oriented multilayer perceptron, which enhances feature extraction and enables direct Euler angle prediction. Experimental results show that the proposed method achieves an average error of 0.308° on synthetic test images. Furthermore, a solid particle was fabricated through 3D printing and physical measurements were conducted, where the network combined with image preprocessing and augmentation achieved an average error of about 0.5° on real images, demonstrating a lightweight and deployment-friendly framework for practical attitude estimation. The results verify the effectiveness of the method and demonstrate its potential for accurate and computationally efficient attitude measurement in applications such as fluid dynamics, industrial inspection, and motion tracking. Full article

This study examines how Saudi consumers evaluate the commodification of cultural symbols in fashion amid intensified heritage branding and symbolic market expansion. It addresses a gap in the literature on internal cultural commodification, where tensions surrounding authenticity, legitimacy, and commercialization emerge within the same cultural community rather than across clearly separate cultural groups. Drawing on a culturally grounded application of the Theory of Planned Behavior and related literature on consumer ethnocentrism and moral evaluation, the study investigates how perceived authenticity, perceived cultural appropriation, ethical sense, and consumer ethnocentrism shape attitudes toward cultural commodification and purchase intention in the Saudi fashion context. Data were collected through an Arabic-language questionnaire-based survey of Saudi consumers (N = 552) using a non-probability purposive sampling approach. The measurement model employed reflective scales adapted from prior literature and was assessed for reliability and validity. To strengthen methodological rigor, the analysis also considered common method bias diagnostics. The proposed relationships were tested using partial least squares structural equation modeling (PLS-SEM) with bootstrapping. The findings indicate that perceived authenticity is positively associated with attitudes toward cultural commodification and relates to purchase intention primarily through attitudes. Perceived cultural appropriation is negatively associated with both attitudes and purchase intention, suggesting both a direct deterrent effect and an indirect pathway via attitudes. Consumer ethnocentrism shows a negative association with purchase intention and a weaker negative association with attitudes, while its moderating role appears statistically significant but limited in magnitude. Ethical sense displays a more complex pattern, combining negative indirect effects through evaluative pathways with a positive direct association with intention, consistent with qualified rather than purely restrictive participation in symbolic consumption. The study contributes to the literature by clarifying how consumer responses to heritage-based fashion commercialization are shaped by representational, ethical, and normative evaluations in a non-Western setting. Practically, it suggests that fashion brands operating in Saudi heritage markets should manage authenticity claims, symbolic legitimacy, and appropriation risk with greater cultural and ethical sensitivity. Full article

Background/Objectives: The organic food market has grown substantially in recent years, yet the psychological antecedents that shape consumer attitudes and purchase intentions in emerging markets remain underexplored. This study examines how environmental, health, and social consciousness influence consumer attitudes toward organic food, and how those attitudes subsequently affect purchase intention in the Chilean context. Methods: Data were collected via an online survey administered to 255 Chilean consumers using non-probabilistic convenience and snowball sampling. Partial least squares structural equation modeling (PLS-SEM) was employed using SmartPLS, with bootstrapping of 5000 subsamples to test four hypothesized relationships: that environmental, health, and social consciousness each positively affect the attitude toward organic food, and that attitude, in turn, positively affects purchase intention. Results: All four hypotheses were supported. Social consciousness emerged as the strongest predictor of attitude (β = 0.385, p < 0.001), followed by environmental consciousness (β = 0.314, p < 0.001) and health consciousness (β = 0.165, p = 0.005). Attitude demonstrated a strong effect on purchase intention (β = 0.736, p < 0.001), explaining 54.1% of its variance. The three consciousness dimensions jointly explained 57.3% of the variance in attitude. Conclusions: The findings confirm that consumer attitude functions as a critical gateway through which consciousness-based motivations translate into organic food purchase intentions. Social and environmental considerations outweigh health-related concerns in driving attitudes in this context, suggesting that marketing strategies for organic food in Latin America should emphasize community and environmental values alongside individual health benefits. Full article

Reducing food waste and promoting green consumption have emerged as critical priorities in the transition toward a more sustainable food system. Purchasing near-expired food (NEF) offers a pathway to address both issues simultaneously, yet the mechanisms underlying consumers’ intentions toward such products remain underexplored. This research investigates these mechanisms through two complementary studies conducted in China, focusing on near-expired bread as a representative product category. Study 1 (N = 1154) draws on the stimulus–organism–response (SOR) framework to examine how key factors shape consumers’ purchase intentions toward near-expired bread. The results show that price discounts and longer remaining shelf life increase purchase intentions by enhancing perceived value and reducing perceived risk. Moreover, consumers’ normative beliefs with regard to food waste avoidance positively predict purchase intentions through heightened moral satisfaction. Study 2 (N = 746) employs a 2 × 3 between-subjects factorial experiment to test two types of retail interventions for near-expired bread: discount messages (50% vs. 10% off) and information framing (gain-framed vs. loss-framed). Extending Study 1, this experiment introduces two additional dependent variables—product attitudes and perceived environmental external benefits—to capture a broader range of consumer responses. ANCOVA results reveal that consumers with higher environmental concern exhibit stronger purchase intentions, more favorable product attitudes, and greater perceived environmental external benefits. Price discount messages significantly influence purchase intentions and product attitudes, whereas information framing affects purchase intentions and environmental external benefits. Notably, the two interventions interact to shape consumers’ perceptions of environmental external benefits. Together, these studies advance a comprehensive understanding of near-expired bread purchases and offer empirical guidance for designing effective retail communication strategies to promote green consumption and reduce food waste. Full article

Farm-to-school initiatives, including school gardens, are an increasingly popular strategy to increase student access to healthy produce and nutrition education opportunities. While studies show school garden programs and garden-enhanced nutrition education can positively impact student consumption of fruits and vegetables, there is a gap in evaluation tools that can be used by practitioners across varied school sites, grades, and communities, to assess outcomes of their garden programs. This effort piloted the Student Garden Retrospective Survey (SGR) for grades 4+ in four classrooms in two counties in California. The instrument included items to measure program exposure, garden skill experiences, changes in students’ behaviors, preferences, and attitudes, as well as their perceptions of the program. Student and teacher feedback on the evaluation tool was gathered to determine if students understood the questions being asked, were able to complete the survey, and whether the evaluation questions were pertinent to their school gardening experiences. The results demonstrate that the SGR is suitable for evaluating school garden and garden-enhanced nutrition education programming. In the future, the evaluation tool can be used by practitioners to iteratively improve garden-based education to enhance students’ nutrition and health outcomes. Full article

Background: Rapid technological progress has transformed healthcare systems through integrating electronic health (eHealth) into clinical practice. Consequently, nursing students, upcoming healthcare professionals, face new challenges arising from this digital transition. Adequate technological skills and eHealth literacy are essential to meet the requirements of contemporary healthcare environments. The aim of this study was to translate, culturally adapt, and validate a questionnaire measuring technophilia, Internet use, eHealth literacy, and nursing students’ attitudes toward technology and eHealth. Methods: A cross-sectional validation study was conducted using a convenience sample of Albanian undergraduate nursing students. After forward and backward translation, the instrument’s construct validity was examined using exploratory factor analysis (EFA). Cronbach’s alpha assessed internal consistency, and the relationships among the four constructs were explored using structural equation modeling (SEM). Results: A total of 357 undergraduate nursing students participated in the survey. EFA identified a clear four-factor structure corresponding to Technophilia, Internet Use, eHealth Literacy, and Technology and Electronic Health in Nursing Education, with all items demonstrating satisfactory factor loadings. Internal consistency of the four scales ranged from 0.692 to 0.852, indicating generally satisfactory reliability. Although the SEM model fit was below the recommended thresholds, the results provide some evidence for relationships among the constructs. Conclusions: The findings provide preliminary evidence for the reliability and validity of the adapted instrument and set a baseline for assessing Albanian nursing students’ knowledge, skills, and attitudes regarding technology and eHealth literacy. Several strategies can be developed based on this evidence to prepare nursing students for technologically advanced healthcare systems. Full article

This study presents a leader–follower flight control architecture for a small-scale UAV swarm, demonstrated using a three-UAV system built on heterogeneous autopilots, GPS positioning, Raspberry Pi 3B+ units, and Wi-Fi communication. The follower UAVs autonomously maintain predefined formations while tracking the leader’s trajectory. During flight, each Raspberry Pi establishes inter-UAV communication via a Wi-Fi network using the UDP protocol, enabling real-time data exchange and attitude adjustments. An outer-loop proportional–integral control design implemented on the Raspberry Pi generates corrective commands to the corresponding autopilot to reduce the followers’ position errors. Under the tested conditions, the framework achieves formation tracking with horizontal and vertical errors of approximately 60 and 20 cm, respectively, providing initial experimental validation in a small-scale setting. In addition, a simulation environment based on pre-recorded UAV and environmental data with 3D visualization is developed to support behavior prediction, performance evaluation, and control tuning prior to real-world deployment, although its applicability beyond the tested scenarios remains to be established. Full article

Attitudes towards animal welfare depend on people’s lifestyles and education levels, yet little is known about the attitudes of nomadic people. We distributed a questionnaire and collected 1660 valid responses, representing individuals with or without nomadic connections and varying education levels and genders. We used ordinal logistic regression to analyze the impact of these two factors on perceptions, attitudes, and behavioral intentions related to animal welfare. Women and those with higher education levels tended to hold more positive attitudes toward animal welfare, but for farm animals, this was only extended to common female reproducing animals, such as cows, sheep, goats, and laying hens, but not other farm animals, such as beef cattle and broiler chickens. This may reflect a greater sensitivity towards reproducing animals. The influence of nomadic connections on attitudes towards animal welfare was not linear—respondents with nomadic connections themselves or family members of the same generation generally had more negative attitudes, while those with grandparents with nomadic connections had more positive attitudes on several animal welfare issues. This may reflect a generational change in the attitudes of nomadic people towards animals. Full article

To address climate change, reducing food loss along the production and supply chain is a global priority. Addressing this challenge requires a shift in agrifood systems toward greater sustainability, in which new technologies and novel foods appear as promising strategies. Among emerging novel foods, 3D-printed foods are an interesting new food technology for food loss reduction, resource optimization, and by-product valorization. However, to reach market success, it needs consumer acceptance, a topic far unexplored, particularly in the Italian context. To fill the literature gap, this article investigates Italian consumers’ intention toward 3D-printed savory snacks using an extended Theory of Planned Behavior, based upon the relevant literature. Survey data were collected, and partial least squares structural equation modeling was performed to test research hypotheses. Results show that attitude and subjective norms are the strongest predictors of purchase intention. In addition, perceived usefulness is shown to be a powerful construct, positively impacting attitude and subjective norms, while self-identity as a green consumer reinforces perceptions of the benefits of 3D-printed foods. Sensory appeal impacts consumer attitude. These insights have practical policy and micro-level applications, suggesting tailored strategies, educational campaigns, and supportive policies and marketing campaigns for fostering acceptance of 3D printing in the agrifood sector. Full article

Background: Probiotics have emerged as an effective therapeutic intervention in critically ill patients receiving enteral nutrition, yet their use remains inconsistent across intensive care units (ICUs). Understanding knowledge, attitudes, and practices (KAP) among healthcare professionals (HCPs) is essential for optimizing evidence-based probiotic administration in enteral nutrition, identifying perceived implementation barriers, and examining associations between KAP scores and study variables. Methods: A multicenter, cross-sectional online survey was administered to ICU physicians, nurses, clinical dietitians, pharmacists, and respiratory therapists. Participants completed a self-reported questionnaire assessing their knowledge of probiotic mechanisms, indications, and safety; attitudes toward probiotic therapy; and current practices in probiotic administration during enteral feeding. Results: A total of 935 ICU HCPs participated. Overall knowledge was insufficient, with only 33.2% achieving high knowledge scores (mean: 12.4/18 points), whereas attitudes were moderately favorable, with 35.5% demonstrating positive attitudes (mean: 23.9/30 points). A majority of respondents (58.7%) reported recommending or prescribing probiotics, most frequently clinical dietitians (84.5%). KAP varied significantly by profession, age group, and years of experience (p < 0.01). The most reported barriers were a lack of information about available probiotic products (73.2%), limited knowledge (41.2%), limited availability of clinically proven products (37.8%), and cost concerns (29.7%). Conclusions: Although ICU HCPs show interest and cautious acceptance of probiotics in enteral feeding, knowledge gaps, attitudinal variability, and practice inconsistencies persist across disciplines. These findings highlight the critical need for targeted, multidisciplinary educational interventions and the development of standardized, evidence-based institutional protocols to optimize probiotic use and improve patient outcomes. Full article