Search Results (160)

The design and planning of Western-style constructions during the early Qing Dynasty in China constituted a significant multicultural encounter that fused technological advancement with aesthetic innovation. This cultural interplay is particularly evident in the imperial garden and pavilion projects commissioned by the Qing court, which served as physical and symbolic sites of cross-cultural dialogue. Influenced by the intellectual and artistic movements of the European Renaissance, Western architectural concepts gradually found their way into the spatial and visual language of Chinese architecture, especially within the royal gardens and aristocratic buildings of the time. These structures were not simply imitative but rather represented a selective adaptation of Western ideas to suit Chinese imperial tastes and principles. This article examines the architectural language that emerged from this encounter between Chinese and European cultures, analysing symbolic motifs, spatial design, ornamental aesthetics, the application of linear perspective, and the integration of foreign architectural forms. These elements collectively functioned as tools to construct a unique visual discourse that communicated both political authority and cultural hybridity. The findings underscore that this architectural phenomenon was not merely stylistic imitation, but rather a dynamic convergence of technological knowledge and artistic vision across cultural boundaries. Full article

Incremental energy demand, environmental constraints, restrictions in the availability of energy resources, economic conditions, and political impact prompt the power sector toward deregulation. In addition to these impediments, electric power competition for power quality, reliability, availability, and cost forces utilities to maximize utilization of the existing infrastructure by flowing power on transmission lines near to their thermal limits. All these factors introduce problems related to power network stability, reliability, quality, congestion management, and security in restructured power systems. To overcome these problems, power-electronics-based FACTS devices are one of the beneficial solutions at present. In this review paper, the significant role of FACTS devices in restructured power networks and their technical benefits against various power system problems such as load frequency control, voltage stability, and congestion management will be presented. In addition, an extensive discussion about the comparison between different FACTS devices (series, shunt, and their combination) and comparison between various optimization techniques (classical, analytical, hybrid, and meta-heuristics) that support FACTS devices to achieve their respective benefits is presented in this paper. Generally, it is concluded that third-generation FACTS controllers are more popular to mitigate various power system problems (i.e., load frequency control, voltage stability, and congestion management). Moreover, a combination of multiple FACTS devices, with or without energy storage devices, is more beneficial compared to their individual usage. However, this is not commonly adopted in small power systems due to high installation or maintenance costs. Therefore, there is a trade-off between the selection and cost of FACTS devices to minimize the power system problems. Likewise, meta-heuristics and hybrid optimization techniques are commonly adopted to optimize FACTS devices due to their fast convergence, robustness, higher accuracy, and flexibility. Full article

This study examines around 350 handwritten letters from semiliterate soldiers during the Spanish Civil War, focusing on written orality and its interaction with scriptural conventions. The theoretical framework combines epistolography research (in which 20th-century popular correspondence reveals oral-like features) with studying the oral–scriptural interface. As detailed in the methodology, including the corpus compilation process, I present the selection criteria for the letters, which were segmented using the Val.Es.Co. model of discourse units. Segmentation facilitates my analysis, which addresses two aspects of the oral–scriptural interface: ritualized politeness in salutations and procedural devices that structure discursive moves. After summarizing the key findings, I discuss the hybrid nature of these letters, in which oral and written conventions intertwine. Full article

This paper extends the resource-based view (RBV) of social entrepreneurship by introducing artificial intelligence (AI) as a dynamic, integrative capability that enhances the acquisition and optimization of four foundational forms of capital: human, social, political, and financial. While social ventures have long faced constraints in scaling impact due to resource limitations and institutional barriers, AI technologies—such as predictive analytics, machine learning, and natural language processing—offer new pathways for improving operational efficiency, stakeholder engagement, advocacy strategies, and financial sustainability. Through the development of a conceptual model and a series of theoretical propositions, this study positions AI as a transformative force that not only strengthens individual resource domains but also enables synergistic feedback loops across them. In doing so, the paper contributes to emerging debates on technology adoption in hybrid organizations, scalability in resource-constrained contexts, and the evolution of strategic management theory in the digital age. Practical implications are outlined for social entrepreneurs, policymakers, and funders seeking to responsibly integrate AI into social impact ecosystems, and future research directions are proposed to empirically test the framework across sectors and global settings. Full article

Accurate gold price forecasting is essential for informed financial decision-making, as gold is sensitive to economic, political, and social factors. This study presents a hybrid framework for multivariate gold price prediction that integrates classical econometric modelling, traditional machine learning, modern deep learning methods, and their combinations. The framework incorporates financial, macroeconomic, and sentiment indicators, allowing it to capture complex temporal patterns and cross-variable relationships over time. Empirical validation on an eleven-year dataset (2014–2024) demonstrates the framework effectiveness across diverse market conditions. Results show that advanced supervised techniques outperform traditional econometric models under dynamic market environment. Key advantages of the framework include its ability to handle multiple data types, apply a structured variable selection process, employ diverse model families, and support model hybridisation and meta-modelling, providing practical guidance for investors, institutions, and policymakers. Full article

Angola’s cultural mosaic and ethnolinguistic diversity reflect the multilocational traditional customs and power, which are key to the country’s social organisation. A Soba, a traditional leader whose status is recognised by the Angolan Constitution, exerts political influence, shapes the collective life, and helps to preserve cultural identity. Customary law, entrenched after independence, became central to the political and administrative restructuring of the country, which had an impact on decentralisation efforts and legal pluralism. This study analyses the traditional leadership of Sobas in Angola in the context of placemaking and territorial co-management. Backed by the theory of Afrocentricity, a multidisciplinary approach is adopted towards setting Africans as the subjects of their own history. It is based on a literature review and critical analysis of the interaction between administrative law and customary law, which imply a hybrid model for territorial governance. The results indicate that the influence of Sobas on decision-making directly affects the use of the territory and cultural development, highlighting the importance of institutionalising traditional power. This paper suggests that recognising and strengthening such hybrid models is key to promoting territorial cohesion and fostering community engagement, whilst integrating traditional practices can result in more inclusive and effective public policies. Full article

Transboundary water governance faces persistent challenges due to mismatches between natural hydrological boundaries and political administrative boundaries. This study examines the evolution and mechanisms of intergovernmental cooperation in the Taihu Basin (1987–2024), addressing how cooperation forms, evolves, and sustains amid conflicting priorities. Using a mixed-methods approach, we analyzed 106 policy documents, government reports, and stakeholder interviews to map governance stages, cooperation networks, and policy themes. Results reveal three phases in transboundary water governance in Taihu Basin: (1) a centralized hierarchy (1987–2007) dominated by vertical mandates; (2) a hybrid stage (2008–2018) with rising horizontal cooperation driven by crisis responses like the 2007 cyanobacteria outbreak; and (3) a networked stage (2019–2024) integrating diagonal mechanisms that bridged hierarchical gaps and scaled grassroots innovations. Key findings show diagonal relations reduced bureaucratic delays, enabling bottom-up practices like joint river chief systems to become regional policies. While grounded in the Taihu Basin context, this study provides a compelling case of institutional coupling that may inform governance in other transboundary basins, where vertical authority, horizontal reciprocity, and diagonal experimentation coexist dynamically. This study offers a model for balancing administrative fragmentation and ecological integrity, emphasizing adaptive networks over rigid hierarchies. These insights provide a feasible solution approach for addressing transboundary water resource governance challenges in similar institutional environments. Full article

Background and Objectives: Cervical cancer remains a critical public health challenge in Eastern Europe and Central Asia (EECA), where systemic barriers have hindered prevention efforts. This descriptive regional study evaluates progress toward achieving Target 1 of the WHO Global Strategy for Cervical Cancer Elimination—vaccinating 90% of girls by age 15—in 17 countries and territories. The research is situated within the context of the Regional Alliance for Cervical Cancer Prevention in EECA, a multi-stakeholder platform launched by UNFPA in 2021 to accelerate regional progress toward WHO targets. The Alliance supports countries through technical collaboration, shared learning, and political engagement. Therefore, as a secondary endpoint, the study explores possible correlations between national achievements and the post-2021 scale-up efforts supported by the Alliance. Methods: A standardized questionnaire, consolidated by United Nation Population Fund (UNFPA) technical experts, was disseminated in November 2024 to 17 national focal points, yielding 19 responses due to disaggregated submissions from Bosnia and Herzegovina. The survey collected data on HPV vaccination policies, delivery models, vaccine type, target populations, and coverage. Results: By late 2024, six countries had implemented HPV vaccination before 2021, while six more launched programs after the Regional Alliance’s formation in 2021. Coverage varied widely, from 0.2% in Brčko District to 99.3% in Uzbekistan. Most countries targeted girls aged 9–14, with increasing male inclusion and catch-up cohorts. Gardasil 4 was the most used vaccine, though Gardasil 9 is gaining ground. School-based and hybrid delivery strategies were associated with significantly higher coverage (p = 0.0121). Inferential analysis also showed significant variation by vaccine type (p = 0.0067) and a positive correlation with program maturity (ρ = 0.52, p = 0.067). However, findings should be interpreted considering limitations including reliance on self-reported country data and absence of independent validation. Conclusions: The results offer actionable insights into delivery models, gender inclusion, and regional disparities—supporting efforts to close the gap toward 2030 elimination targets in EECA Countries. Full article

This study explores the concept of hybridity in architecture, shaped by cultural exchange, globalization, and evolving socio-political contexts. In this research, hybridity in architecture is defined as a dynamic process that emerges within boundary spaces, where physical elements interact with evolving cultural, social, and political forces, resulting in adaptable and multilayered architectural environments. Despite the significance of hybridity in architecture, existing research lacks a comprehensive and systematic framework for its analysis. To bridge this gap, the study develops a conceptual framework that integrates archival research, literature synthesis, and an architectural analysis. The methodology combines a qualitative analysis of historical documents and design drawings to identify eight key indicators of hybridity—form, typology, program, mixed-use, multi-layering, user mixing, border spaces, and control/resistance—and applies them to a case study of the University of Baghdad. These indicators embody the interaction between the static and kinetic aspects of hybridity. The Static Aspect refers to the tangible outcomes of hybridity—such as mixed forms and functions—that materialize in built structures. In contrast, the Kinetic Aspect reflects the intangible dimensions, including ongoing social and cultural dynamics and shifts in power relations, which continuously reshape these hybrid forms. Together, these aspects illustrate that hybridity is both a product and a process, where material expressions emerge from social negotiations and, in turn, influence future adaptations. The findings reveal that the hybrid architecture evolves through complex interactions among historical references, contemporary needs, and socio-political forces. By establishing a systematic methodology for analyzing hybridity, this study bridges theoretical discourse with practical applications, providing architects and researchers with a robust analytical tool to assess hybrid architectural spaces within culturally diverse contexts. It also reinforces the understanding of hybridity as a dynamic force—one that not only results in physical architectural expressions but also evolves through ongoing cultural, social, and political interactions. Full article

African immigrants in the UK, especially in places such as London, Birmingham, and Manchester, contend with institutional racism, xenophobia, and socio-economic marginalisation. This study analyses how first- and second-generation African diaspora communities understand Jeremiah 29: 4–7 to create resilience and belonging. This study uses desktop research from African diasporic churches and analyses the UK’s Inclusive Britain Strategy (2023) to contend that biblical tales are reinterpreted to confront modern issues, including the Windrush Scandal and racial inequalities in NHS maternal care. The document emphasises the influence of African-led churches in formulating integration plans and promoting policy reforms in the UK. The findings indicate that African diaspora churches reinterpret Jeremiah 29: 4–5 to promote resilience and structural involvement in combating systemic racism and socio-economic disadvantage in the UK. The paper concludes by reinterpreting biblical tales to connect spiritual resilience with systemic activism, promoting hybrid identities, and integrating legislative reforms with community-driven initiatives for equity. The paper recommends the decolonisation of curricula, the enhancement of culturally competent healthcare training, the expansion of church–state collaborations, and the modification of legislation such as the Hostile Environment to foster inclusiveness. This study enhances academic discourse by merging diaspora theology with policy analysis, presenting an innovative framework for the theological examination of migration and elevating African agency within UK socio-political environments through decolonial hermeneutics and hybrid identity paradigms. Full article

Volatility is a risk indicator for the stock market, and its measurement is important for investors’ decisions; however, few studies have investigated it. Only two systematic reviews focusing on volatility have been identified. In addition, with the advance of artificial intelligence, several machine learning algorithms should be reviewed. This article provides a systematic review of the factors, forecasts and simulations of volatility in the stock market using machine learning (ML) in accordance with PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) review selection guidelines. From the initial 105 articles that were identified from the Scopus and Web of Science databases, 40 articles met the inclusion criteria and, thus, were included in the review. The findings show that publication trends exhibit a growth in interest in stock market volatility; fifteen factors influence volatility in six categories: news, politics, irrationality, health, economics, and war; twenty-seven prediction models based on ML algorithms, many of them hybrid, have been identified, including recurrent neural networks, long short-term memory, support vector machines, support regression machines, and artificial neural networks; and finally, five hybrid simulation models that combine Monte Carlo simulations with other optimization techniques are identified. In conclusion, the review process shows a movement in volatility studies from classic to ML-based simulations owing to the greater precision obtained by hybrid algorithms. Full article

This research focuses on the detection of deepfake images and videos for forensic analysis using deep learning techniques. It highlights the importance of preserving privacy and authenticity in digital media. The background of the study emphasizes the growing threat of deepfakes, which pose significant challenges in various domains, including social media, politics, and entertainment. Current methodologies primarily rely on visual features that are specific to the dataset and fail to generalize well across varying manipulation techniques. However, these techniques focus on either spatial or temporal features individually and lack robustness in handling complex deepfake artifacts that involve fused facial regions such as eyes, nose, and mouth. Key approaches include the use of CNNs, RNNs, and hybrid models like CNN-LSTM, CNN-GRU, and temporal convolutional networks (TCNs) to capture both spatial and temporal features during the detection of deepfake videos and images. The research incorporates data augmentation with GANs to enhance model performance and proposes an innovative fusion of artifact inspection and facial landmark detection for improved accuracy. The experimental results show near-perfect detection accuracy across diverse datasets, demonstrating the effectiveness of these models. However, challenges remain, such as the difficulty of detecting deepfakes in compressed video formats, the need for handling noise and addressing dataset imbalances. The research presents an enhanced hybrid model that improves detection accuracy while maintaining performance across various datasets. Future work includes improving model generalization to detect emerging deepfake techniques better. The experimental results reveal a near-perfect accuracy of over 99% across different architectures, highlighting their effectiveness in forensic investigations. Full article

The shift to sustainable energy requires a thorough understanding of the elements affecting policy adoption, especially regarding political and economic dynamics. Current approaches, such as the technology acceptance model (TAM), theory of planned behavior (TPB), and unified theory of acceptance and use of technology (UTAUT), mainly emphasize individual behavioral aspects, often neglecting macro-level implications. This research uses the hybrid model for energy policy adoption (HMEPA) to bridge this gap, including economic and political factors with behavioral theories to evaluate energy policy acceptability. We propose that social impact, attitudes toward the policy, and financial and political considerations substantially affect stakeholders’ acceptance intentions. We gathered 421 valid answers from people in Taiwan using a questionnaire survey and analyzed the data using structural equation modeling (SEM). The findings demonstrate that whereas effort expectation and enabling circumstances have little impact, social influence and attitude are the most significant determinants of policy adoption intention. Moreover, political variables influence attitudes and social dynamics, while economic policy impacts performance expectations, perceived behavioral control, and enabling circumstances. These results underscore the need to synchronize policy plans with political and economic realities. Policymakers may use these findings to formulate stakeholder-oriented policies that promote sustainable energy transitions. Full article

There is a long and complex history of Christian–Muslim engagement, one which is fraught by socio-political tensions and complicated by fear. Theological tensions likewise contribute to the sibling rivalry between these Abrahamic faiths. Accounting for fundamental theological differences between Islam and Christianity, and noting a potential dichotomy between apologetic-style and interfaith engagement, this article contends that effective Christian–Muslim relations must navigate both opposing truth claims and efforts to seek peace. Consequently, comparative theology is critically evaluated, from an evangelical Christian perspective, as a potential mediating approach. In considering the complex relationship between comparative theology and theology of religion, and indeed, between theology and ‘people of faith’, recommendations are formulated with a view to contributing to effective Christian–Muslim relations. The overall aim of this research therefore is to explore approaches to developing more effective Christian–Muslim relations, with a specific focus on comparative theology. While motivated by and accounting for a personal Christian–Muslim sibling relationship, the research method predominantly references academic literature, with sections structured by an amended version of Osmer’s four-task model of practical theology. Findings from this research discern that comparative theology is not quite the mediating approach sought; however, its potential contribution towards a ‘hybrid approach’ is explored. The implications of this article seek to encourage orthodox Muslims and evangelical Christians to engage in comparative exchanges that employ a balanced and in-depth approach to understanding our respective faiths. Finally, this article emerges from within the UK; therefore, discussions presented may be differently received by evangelical Christians operating out of divergent biographical contexts. Full article

Gardening is a popular pastime for people from all walks of life in Yangon, the most populous city of Myanmar and its former capital. The cultivation of ornamental plants has continued uninterrupted despite decades of social and political crises that have plagued the country, but there are indications that people’s tastes have changed considerably. These changing tastes are documented here through interviews of nursery owners and amateur gardeners from Yangon. This study also investigates the development of naming patterns in Burmese, in particular the names coined for recently introduced plants. A total of 176 older and 156 newer (introduced over the last two decades) ornamental plants grown in Yangon were documented; of the former category, 75% were still available in nurseries, whereas the rest were no longer popular. The newer plants had significantly fewer unanalysable names than the older plants, suggesting a modern preference for descriptive/allusive labels. This also applies to native, wild-harvested orchid species. Many of the newer, introduced orchid hybrids have not been given Burmese names, but are only referred to by shorthand labels like dendro and vanda. This study provides a first, linguistically informed ethnobiological report of ornamental plants in Myanmar. Full article