Search Results (180)

This study examines the evolution and integration of Buddhist architecture in East Asia and emphasizes the preservation of indigenous building traditions by adapting pre-Buddhist architectural typologies, vernacular construction techniques, and localized worship practices. In addition, this study highlights the adaptive transformation of Indian Buddhist structures as they incorporate regional architectural forms, resulting in distinct monumental styles that had a profound symbolic significance. By introducing the concept of a cosmopolitan attitude, it underscores the dynamic coexistence and reciprocal influence of universalized and vernacular architectural traditions. The findings highlight the interplay between cultural universality and particularity, illustrating how architectural meaning and intention define the uniqueness of structures beyond their stylistic similarities. This study demonstrates that even when architectural forms appear similar, their function and underlying intent must be considered to fully comprehend their historical and cultural significance. Full article

Integrating artificial intelligence (AI) and cause-related marketing has reshaped corporate social responsibility practices while triggering a conflict between technological instrumental rationality and moral value transmission. Building on the Persuasion Knowledge Model (PKM) and AI aversion literature, this research employs two experiments to reveal that AI disclosure exerts a unique inhibitory effect on consumers’ purchase intentions in cause-related marketing contexts compared to non-cause-related marketing scenarios. Further analysis uncovers a chain mediation pathway through consumer skepticism and advertisement attitudes, explaining the psychological mechanism underlying AI disclosure’s impact on purchase intentions. The study also identifies the moderating role of AI aversion within this chain model. The findings provide a new theoretical perspective for integrating AI disclosure, consumer psychological responses, and marketing effectiveness while exposing the “value-instrumentality” conflict inherent in AI applications for cause-related marketing. This research advances the evolution of the PKM in the digital era and offers practical insights for cause-related marketing enterprises to balance AI technology application with optimized disclosure strategies. Full article

The transition to a decarbonised energy system in Ireland presents significant socio-technical challenges. This paper, focused on the work of the SMARTLAB project at the Citizen Innovation Lab in Limerick city, investigated the potential of a localised living lab approach to address these challenges. Engaging across 70 buildings and their inhabitants, the project captured the evolution of attitudes and intentions towards the clean energy transition in ways directly relevant to future policy implementation across grid redevelopment, smart service design, and national retrofit. Project methodology was framed by a living lab approach, with wireless energy and indoor environment sensors installed in participant buildings and participant journeys developed by harnessing the Citizen Innovation Lab ecosystem. The results indicate behaviour changes among participants, particularly focusing on indoor environmental conditions. The study concludes that embedded, localised living labs offer a methodological framework which can capture diverse datasets and encompass complex contemporary contexts towards transition goals. Full article

Self-realization, a multifaceted concept, has long been a subject of interest in the scientific literature. Given its profound impact on overall well-being and work-related satisfaction, the development of instruments capturing its complexity assumes significant relevance. Therefore, this study presents the development and validation of the META—Measurement for Evolution, Transformation, and Autorealization, a self-report measure designed to assess the propensity for self-realization. The study involved a sample of 634 participants, who completed a survey comprising the META, Satisfaction with Life Scale, Career Adapt-Abilities Scale, General Self-Efficacy Scale, Insight Orientation Scale, and 10-item Connor–Davidson Resilience Scale. The analyses confirmed the statistical solidity of the three hypothesized sections; Part A (Evolutionary Thrust), including Sense of life, Spirit of service, Self-Authorizing, Self-Centering, and Internal Drive for Realization; Part B (Transformative Adaptation), including Propensity for transformation, Distress to change, Adaptability, and Fullness of the Experience; Part C (Work Attitude), including Social Service and Care, Administrative and Office Works, Entrepreneurship, Customer Service and Hospitality, and Manual activities. Factor analyses supported the structural validity of the three hypothesized sections of the META, and all subscales showed good to excellent internal consistency. Significant correlations between the META dimensions/subdimensions and self-realization or well-being outcomes also emerged. The META showed excellent psychometric properties and may be used in various fields, promoting advancements in research and practices supporting well-being and personal fulfilment. Full article

Interest in instructional leadership has grown dramatically in Asia since 2010. This systematic state-of-the-art review analyzed the evolution of analytical models, research methods, and findings in Asian studies of instructional leadership that employed the Principal Instructional Management Rating Scale (PIMRS). The authors applied content analysis to 349 Asian instructional leadership studies sourced from multiple digital databases. The publication of Asia-based studies of instructional leadership increased from 47 before 2011 to 257 in the subsequent 15 years. Our analysis of 302 quantitative and mixed methods studies found that Asian scholars have primarily employed univariate and direct effects models in their instructional leadership studies, a limitation for knowledge advancement. At the same time, the use of advanced multivariate analytical models increased from 2.1% of the literature before 2011 to 23.3% in the subsequent period. Analysis of 20 “state-of-the-art studies” found a consistent pattern of significant mediated and direct effects of instructional leadership on teacher attitudes and practices. Moreover, several well-designed studies found that a school’s cultural context moderated the effects of instructional leadership on teaching and learning. Findings from the state-of-the-art review highlight the relationship between analytical models, variable selection, and research methods in studies that advance knowledge. Full article

Gamified education, as an emerging educational model, is gradually transforming traditional learning methods and has sparked widespread public discussion about its effectiveness and potential. According to connectivism, thinking and learning occur through the connections and interactions among a large number of units. Gamified education can serve as a form of connection, facilitating learners’ links and knowledge construction across different units through interactions, tasks, and feedback. This study aims to explore the public’s emotional attitudes toward gamified education, particularly analyzing the phenomenon of detachment and return regarding its educational function and essence. Through sentiment analysis and LDA topic modeling, three main themes were identified: the gamification and effectiveness of language learning, programmatic learning under temporal and spatial flexibility, and interactive entertainment and social learning. The study found that the public’s emotional attitude toward gamified education is diverse, reflecting the recognition of its potential in providing flexible learning and enhancing interactive experiences, as well as concerns regarding the entertainment-focused nature of educational functions. Additionally, based on the conclusions drawn, the study offers recommendations for educators and designers of gamified education to address issues such as distraction and excessive entertainment during the promotion of gamified education, helping them gain a deeper understanding of its evolution and challenges. Full article

Climate change is one of the most pressing issues on the public policy agenda. Employing data from rounds 8 and 10 of the European Social Survey, this paper examines the relationship between the perception of Europeans towards climate change and the limitation of energy consumption. An ordered logit model shows that socio-demographic characteristics are strongly related to attitudes towards climate change: female, more educated, and left-leaning respondents display, on average, higher levels of worry and personal responsibility for addressing climate change. However, the relationship between these predictors with greater support for energy reduction measures is non-trivial. Through our unique dataset, the study investigates the evolution of attitudes towards private energy consumption reduction over time. Although beliefs are becoming more positive across Europe, personal responsibility to address climate change seems to play an especially pivotal role in Eastern countries. Policy implications are discussed in light of these results. Full article

Gender roles are sociocultural constructs that shape the behaviors, attitudes, and values associated with men and women that influence social structures, equity, and sustainability. While these constructs reflect societal expectations, they also limit opportunities and affect emotional well-being. As their evolution has not been consistent, rigid norms continue to hinder social progress. Ensuring that gender norms evolve toward inclusivity and equality is essential for the long-term well-being of societies. This study examines conformity to gender norms in Spain, considering age and educational level, with the aim of guiding public policies and educational strategies to foster social cohesion and equity. A quantitative methodology was employed, using the Conformity to Masculine Gender Norms Inventory and the Conformity to Feminine Gender Norms Inventory to assess adherence to traditional gender expectations. The sample consisted of 380 individuals aged 18 to 85 years. This study reveals a moderate-to-low level of conformity to gender norms but highlights a resurgence of traditional roles among younger individuals. These findings underscore the need for interventions that promote inclusive models and emphasize the importance of ongoing research to understand the impact of cultural, media, and generational factors on attitudes toward gender roles. Full article

University campuses play a crucial role in sustainable development; however, the current green campus evaluation systems tend to focus primarily on the physical environment and building technology, often overlooking user perception and the impact of these factors on the execution of green campus strategies. Starting with an examination of the connotation and evolution of green campuses, we derived relevant indicators of campus subjective perceptions from both domestic and international green campus evaluation systems. We collected user feedback through satisfaction questionnaires and text data on the green campuses of nine representative Chinese universities. Factor analysis was used to establish the correlations between campus planning and subjective perceptions across six key areas. This research applied importance–performance analysis (IPA) to assess the prioritization of each green campus indicator, integrating it with textual semantic analysis to better understand the perceptions and attitudes of campus users toward green campus development. The findings suggest that the objectives of a green campus cannot be fully achieved using only technical or physical evaluation criteria. Instead, combining subjective feedback with quantitative indicators forms the foundation for effective strategy development. This study also found that users were more concerned about the design of details related to learning, living, entertainment, and recreation than the broader green campus planning decisions made by planners and decision-makers. Focusing on user perception and balancing scientific planning with public participation can help achieve the ultimate goal of green campus planning and design, adhering to a human-centered approach. Full article

Light curve analysis of defunct satellites is critical for characterizing their rotational motion. An accurate understanding of this aspect will benefit active debris removal and on-orbit servicing missions as part of the solution to the space debris issue. In this study, we explored the attitude behavior of inactive GLONASS satellites, specifically a repeating pattern observed in their spin period evolution. We utilized a large amount of data available in the light curve database maintained by the Astronomical Institute of the University of Bern (AIUB). The morphology of the inactive GLONASS light curves typically features four peaks in two pairs and is presumably attributed to the presence of four evenly distributed thermal control flaps or radiators on the satellite bus. The analysis of the periods extracted from the light curves shows that nearly all of the inactive GLONASS satellites are rotating and exhibit a periodic oscillating pattern in their spin period evolution with an increasing or decreasing secular trend. Through modeling and simulation, we found that the periodic pattern is likely a result of canted solar panels that provide an asymmetry in the satellite model and enable a wind wheel or fan-like mechanism to operate. The secular trend is a consequence of differing values of the specular reflection coefficients of the front and back sides of the solar panels. Assuming an empirical model describing the spin period evolution of 18 selected objects, we found significant variations in the average spin period and amplitude of the oscillations, which range from 8.11 s to 469.58 s and 1.10 s to 513.24 s, respectively. However, the average oscillation period remains relatively constant at around 1 year. Notably, the average spin period correlates well with the average amplitude. The empirical model can be used to extrapolate the spin period in the future, assuming that the oscillating pattern is preserved and roughly shows a linear trend. Full article

This article aims to describe the value priorities of Kazakhstani student youth and explore their relationship with traditions, the culture of ethnic groups in Kazakhstan, state ideological attitudes, and the influence of external cultures. This paper addresses the impact of the multinational environment and globalization on the formation of values among students in Kazakhstan. This article analyzes empirical data collected through a mixed-methods questionnaire, developed in accordance with the well-known value measurement methodologies of M. Rokeach and Sh. Schwartz. The results show that although traditional values remain significant, the growing exposure of young people to global influences and socio-political changes indicates a dynamic evolution of their value system, reflecting both continuity and changes in the cultural landscape of Kazakhstan. The key value for Kazakhstani students is family, which suggests sufficient harmony in the life models chosen by these students. The significance of this study lies in its potential to contribute to the establishment of a system of relations in which different cultures can engage in dialogue, preserve their historical trajectories, and maintain mutual respect among representatives of diverse ethnicities and social groups. This study also holds implications for the development of legislative mechanisms aimed at respecting Kazakhstan’s national interests in international communication. Full article

The increase in population and urban migration has incentivized the construction of mid-rise and tall buildings. Despite the incremental rise in vertical construction, there are still investigation gaps related to high-rise buildings, such as carbon emissions and the use of low-carbon materials in tall structures. Timber presents a potential sustainable solution for mid-rise and tall buildings. The history of topics in timber building investigations began with the material characterization of innovation in construction technologies such as cross-laminated timber (CLT) and practical topics like construction collaboration, sustainability, engineering, and construction science. To identify potential topics and understand the research history of mid- and high-rise timber buildings, a bibliometric analysis is proposed. Therefore, this article aims to perform a bibliometric analysis with a science mapping technique to categorize and analyze the evolution of mid- and high-rise timber building research topics and identify the most relevant trends and current challenges. A co-occurrence keyword analysis was performed with the software SciMAT to analyze the evolution and actual trends of mid-rise and tall timber buildings. The results show an evolution in the investigation topics from timber frame elements to mass timber and CLT for high-rise buildings, which was expected due to the higher structural capacity of the mass timber product. Surprisingly, sustainability topics such as carbon emission and life-cycle analysis (LCA) were transversal in all periods with concrete as a recurrent keyword in the analysis. More specialized topics such as robustness, disproportioned collapse, perceptions, and attitude were observed in the final periods. Research projections indicate that for mid-rise and tall timber buildings, the environmental potential has to be aligned with the structural feasibility and perception of the construction’s actors and society to improve the carbon emissions reduction and support the increment of the population in an urban context. Full article

With the continuous development of information and communication technology, “software-defined vehicle” has become the trend of the times. The intelligent connected vehicle (ICV) is becoming a new direction for the development of the automotive industry. Nevertheless, the absence of cooperative innovation in the ICV sector, the dispersal of industrial chain resources, and the absence of enduring and consistent cooperation pose significant obstacles to value co-creation. Therefore, this paper constructs a value co-creation evolutionary game model of the innovation ecosystem of the ICV industry with the automotive enterprise, an intelligent automotive solution provider and the government as players, and applies prospect theory to optimize the tripartite evolutionary game. The payment matrix is established, the expected revenue is analyzed for each player’s strategies, and the replication dynamic equation and evolutionary stability strategy are analyzed. Finally, the theoretical research is validated through numerical simulation. The aim is to promote value co-creation by analyzing the co-evolution mechanism of various stakeholder strategies in the ICV innovation ecosystem. The results show the following: (1) The best evolutionary stability strategy is the positive cross-border cooperation between the automotive enterprise and the intelligent automotive solution provider, while the government gradually does not provide subsidies. (2) The government’s subsidy support should be controlled within an appropriate range. If the subsidy is too great, the marginal effect of incentives will gradually weaken. (3) The players’ willingness to integrate across borders can be enhanced by a higher level of trust and resource complementarity between the automotive enterprise and intelligent automotive solution provider. Also, liquidated damages and opportunity loss can effectively prevent the occurrence of negative integration behaviors. (4) The greater the risk attitude coefficient and risk aversion coefficient of the automotive enterprise and intelligent automotive solution provider, the more conducive they are to the occurrence of positive integration behavior. Full article

Background: While previous studies have shown that occupational choices are influenced by traditional gender perceptions, little is known about gender’s role in choosing self-employment among family physicians. Family medicine, with its emphasis on holistic and integrative attitudes that align with independent practice characteristics, presents a unique context for examining gender-related decisions in choosing self-employment. Objectives: To examine the role of gender in family physicians’ transition to self-employed practice, focusing on gender differences in motivations and considerations for this career choice, and to analyze how traditional gender roles manifest in professional decision-making among highly educated medical professionals. Methods: A qualitative study based on in-depth interviews was conducted with 27 self-employed family physicians in Israel who recently chose to start independent practice rather than remaining salaried physicians in Health Maintenance Organizations (HMOs). Interviews were analyzed using thematic content analysis with a gender-sensitive approach. Results: Despite their advanced education and professional status, female family physicians tended to maintain traditional gender patterns in their professional choices. Women emphasized work–family flexibility as a primary consideration and expressed less confidence in financial management self-efficacy, often delegating these responsibilities to their spouses. In contrast, male family physicians displayed traditionally “feminine” characteristics in their professional approach, including emphasis on holistic care and family involvement. Male physicians also cited work–life balance and the opportunity for a more comprehensive, biopsychosocial approach to patient care as key factors in choosing family medicine and self-employment. Conclusions: The findings demonstrate the complexity of gender roles in family physicians’ professional choices, revealing both persistence of traditional gender roles among women and different patterns among men. While male physicians displayed characteristics traditionally identified as feminine, these patterns may reflect both gender role evolution and generational shifts towards work–family integration and collaborative patient care. This study highlights how gender and generational factors shape career decisions in primary care, with implications for medical education and healthcare organization policies. Full article

The development of robotic systems for apple picking is indeed a crucial advancement in agricultural technology, particularly in light of the ongoing labor shortages and the continuous evolution of automation technologies. Currently, during apple picking in complex environments, it is difficult to classify and identify the growth pattern of an apple and obtain information on its attitude synchronously. In this paper, through the integration of deep learning and stereo vision technology, the growth pattern and attitude of apples in the natural environment are identified, and three-dimensional spatial positioning is realized. This study proposes a fusion recognition method based on improved YOLOv7 for apple growth morphology classification and fruit position. Firstly, the multi-scale feature fusion network is improved by adding a 160 × 160 feature scale layer in the backbone network, which is used to enhance the model’s sensitivity in the recognition of very small local features. Secondly, the CBAM attention mechanism is introduced to improve the network’s attention to the target region of interest of the input image. Finally, the Soft-NMS algorithm is adopted, which can effectively prevent high-density overlapping targets from being suppressed at one time and thus prevent the occurrence of missed detection. In addition, the UNet segmentation network and the minimum outer circle and rectangle features are combined to obtain the unobstructed apple position. A depth image of the apple is obtained using an RGB-D camera, and the 3D coordinates of the apple picking point are obtained by combining the 2D coordinates in the RGB image with the depth value. The experimental results show that the recognition accuracy, recall and average recognition precision of the improved YOLOv7 are 86.9%, 80.5% and 87.1%, respectively, which are 4.2, 2.2 and 3.7 percentage points higher compared to the original YOLOv7 model; in addition, the average angular error of the apple position detection method is 3.964°, with an accuracy of 94%, and the error in the three-dimensional coordinate positioning of the apple is within the range of 0.01 mm–1.53 mm, which can meet the demands of apple-picking system operation. The deep-learning-based stereo vision system constructed herein for apple picking robots can effectively identify and locate apples and meet the vision system requirements for the automated picking task performed by an apple-picking robot, with a view to laying the foundation for lossless and efficient apple picking. Full article