Search Results (134)

This comprehensive review maps the fast-evolving landscape in which artificial intelligence (AI) and deep-learning (DL) techniques converge with the Internet of Things (IoT) to manage energy, comfort, and sustainability across smart environments. A PRISMA-guided search of four databases retrieved 1358 records; after applying inclusion criteria, 143 peer-reviewed studies published between January 2019 and April 2025 were analyzed. This review shows that AI-driven controllers—especially deep-reinforcement-learning agents—deliver median energy savings of 18–35% for HVAC and other major loads, consistently outperforming rule-based and model-predictive baselines. The evidence further reveals a rapid diversification of methods: graph-neural-network models now capture spatial interdependencies in dense sensor grids, federated-learning pilots address data-privacy constraints, and early integrations of large language models hint at natural-language analytics and control interfaces for heterogeneous IoT devices. Yet large-scale deployment remains hindered by fragmented and proprietary datasets, unresolved privacy and cybersecurity risks associated with continuous IoT telemetry, the growing carbon and compute footprints of ever-larger models, and poor interoperability among legacy equipment and modern edge nodes. The authors of researches therefore converges on several priorities: open, high-fidelity benchmarks that marry multivariate IoT sensor data with standardized metadata and occupant feedback; energy-aware, edge-optimized architectures that lower latency and power draw; privacy-centric learning frameworks that satisfy tightening regulations; hybrid physics-informed and explainable models that shorten commissioning time; and digital-twin platforms enriched by language-model reasoning to translate raw telemetry into actionable insights for facility managers and end users. Addressing these gaps will be pivotal to transforming isolated pilots into ubiquitous, trustworthy, and human-centered IoT ecosystems capable of delivering measurable gains in efficiency, resilience, and occupant wellbeing at scale. Full article

Eco-migration (EM) constitutes a specialized form of migration aimed at enhancing living environments and alleviating ecological pressure. Nevertheless, large-scale external migration has intensified habitat fragmentation (HF) in resettlement areas. This paper takes the Shule River Resettlement Project (SRRP) as a case, based on the China Land Cover Dataset (CLCD) data of the resettlement area from 1996 to 2020, using the Landscape Pattern Index (LPI) and the land use transfer matrix (LTM) to clearly define the stages of migration and the types of resettlement areas and to quantitative explore how EM affects HF. The results show that (1) EM accelerates the transformation of natural habitats (NHs) to artificial habitats (AHs) and shows the characteristics of sudden changes in the initial stage (1996–2002), with stability in the middle stage (2002–2006) and late stage (2007–2010) and dramatic changes in the post-migration stage (2011–2020). In IS, MS, LS, and PS, AH increased by 26.145 km², 21.573 km², 22.656 km², and 16.983 km², respectively, while NH changed by 73.116 km², −21.575 km², −22.655 km², −121.82 km², and −213.454 km², respectively. The more dispersed the resettlement areas are the more obvious the expansion of AH will be, indicating that the resettlement methods for migrants have a significant effect on habitat changes. (2) During the resettlement process, the total number of plaques (NP), edge density (ED), diversity (SHDI), and dominance index (SHEI) all continued to increase, while the contagion index (C) and aggregation index (AI) continued to decline, indicating that the habitat is transforming towards fragmentation, diversification, and complexity. Compared with large-scale migration bases (LMBs), both small-scale migration bases (SMBs), and scattered migration settlement points (SMSPs) exhibit a higher degree of HF, which reflects how the scale of migration influences the extent of habitat fragmentation. While NHs are experiencing increasing fragmentation, AHs tend to show a decreasing trend in fragmentation. Ecological migrants play a dual role: they contribute to the alteration and fragmentation of natural habitat patterns, while simultaneously promoting the formation and continuity of artificial habitat structures. This study offers valuable practical insights and cautionary lessons for the resettlement of ecological migrants. Full article

Nature-based Solutions (NbS) are increasingly adopted in urban settings to restore ecological functions and enhance biodiversity. This study evaluates the effects of NbS interventions on bird, insect, and plant communities in the Cavalum Valley urban green area, Penafiel (northern Portugal). Over a three-year period, systematic field surveys assessed changes in species richness, abundance, and ecological indicators following actions such as riparian restoration, afforestation, habitat diversification, and invasive species removal. Results revealed a marked increase in bird overall abundance from 538 to 941 individuals and in average pollinator population size from 9.25 to 12.20. Plant diversity also improved, with a rise in native and RELAPE-listed species (5.23%). Functional group analyses underscored the importance of vegetative structure in supporting varied foraging and nesting behaviours. These findings highlight the effectiveness of integrated NbS in enhancing biodiversity and ecological resilience in urban landscapes while reinforcing the need for long-term monitoring to guide adaptive management and conservation planning. Future work could evaluate ecological resilience thresholds and community participation in citizen science monitoring. Full article

Residential segregation remains a persistent challenge in European urban environments and is an increasing focal point in urban policy debates. This study investigates the changing geographies of ethnic diversity and residential segregation in Riga, the capital city of Latvia. The research addresses the complex dynamics of ethnic residential patterns within the distinctive context of post-socialist urban transformation, examining how historical legacies of ethnic diversity interact with contemporary migration flows to reshape neighborhood ethnic composition. Using geo-referenced data from 2000, 2011, and 2021 census rounds, we examined changes in the spatial distribution of five major ethnic groups. Our analysis employs the Dissimilarity Index to measure ethnic residential segregation and the Location Quotient to identify the residential concentration of ethnic groups across the city. The findings reveal that Riga’s ethnic landscape is undergoing a gradual yet impactful transformation. The spatial distribution of ethnic groups is shifting, with the increasing segregation of certain groups, particularly traditional ethnic minorities, coupled with a growing concentration of Europeans and non-Europeans in the inner city. The findings reveal distinctive patterns of ethnic diversification and demographic change, wherein long-term trends intersect with contemporary migration dynamics to produce unique trajectories of ethnic residential segregation, which differ from those observed in Western European contexts. However, the specific dynamics in Riga, particularly the persistence of traditional ethnic minority communities and the emergence of new ethnic groups, highlight the unique context of post-socialist urban landscapes. Full article

Open habitats in forests perform several important functions. In addition to enriching biodiversity, they have an impact on the diversification of the forest landscape, and through complex processes and trophic relationships, they provide greater sustainability in forest communities. It turns out that they are also important not only for the functioning of nature, but also due to their regenerative properties, through which people can improve their well-being and recover their mental balance. The purpose of this study was to determine whether and to what extent mid-forest open dunes and wetlands are able to provide people with feelings of relaxation and mental renewal. The study was conducted in June 2024 in one of the forest complexes located in the suburban zone of Warsaw. The experiment was conducted with the participation of 52 young adult volunteers. The experiment used a pre–posttest method. The subjects’ mood and well-being were determined using four psychological questionnaires: the Positive and Negative Affect Schedule (PANAS), Restorative Outcome Scale (ROS), Subjective Vitality Scale (SVS), and Profile of Mood States (POMSs). The key findings from the research conducted are as follows: compared to the control sample (before entering the forest), exposure to all three variants of greenery had a restorative effect on the experimental participants; the water environment had the most favorable effect compared to the control sample (before entering the forest); and exposure to this environment provided the greatest increase in positive feelings and the greatest decrease in negative feelings. Research has shown that areas important for preserving forest biodiversity are also important for humans because of their high restorative properties. Preserving non-forest enclaves in forests and promoting their regenerative values for humans can be one nature-based solution to improve people’s health and well-being, especially for people living in urban areas. Full article

Concentrated apple juice (AJC) is a globally traded commodity, with major producers such as China, Poland, and the United States supplying AJC to markets worldwide. The aim of this article is to determine the competitive position of the main global exporters of concentrated apple juice. It also seeks to analyze changes in their positions over the period from 2005 to 2023. Assessing competitive position is important for several economic and business reasons, including identifying leading exporters and recognizing both growing and declining markets. The competitive position was measured using Market Share (MS) indicators, Gross and Net Export Orientation indicators (E_gr, E_net), and the Revealed Comparative Advantage (RCA) index. The results reveal significant structural shifts in global AJC trade. Most notably, China’s declining competitiveness, reflected across all indicators, led to its loss of market leadership. This raises questions about the reasons for this decline and whether it presents opportunities for other exporters. This signals a broader reconfiguration in the global AJC supply chain, driven in part by domestic economic changes, such as rising consumption and decreasing export orientation. Simultaneously, other countries, particularly in Eastern Europe, show varying degrees of competitive growth, with Moldova and Ukraine emerging as key players. These trends suggest a diversification of supply sources and a more fragmented competitive landscape. Although national differences persist, the analysis indicates that structural and economic transformations, rather than short-term price signals, are driving the evolving global competitiveness in the AJC market. The observed weak correlations between prior-year apple prices and RCA confirm that broader market and policy factors play a more decisive role. Full article

This study provides a bibliometric analysis of polarity sensitivity research from 1980 to 2023, examining intellectual structure, collaboration patterns, and emerging trends. Analysing 835 documents using Bibliometrix (V.4.1.0), CiteSpace (V.6.1.R6), and VOSviewer (V1.6.18), we identify three evolutionary phases: (1) foundational theoretical development (1980–2000), transitioning from syntactic to semantic-based theories; (2) methodological diversification (2000–2010), incorporating cognitive–pragmatic frameworks and corpus-based studies; and (3) contemporary integration (2010–2023), marked by multidisciplinary approaches. Co-citation analysis reveals three intellectual clusters centred on formal semantics, pragmatic approaches, and minimalist frameworks. Geographic analysis shows the United States as the leading contributor, followed by Germany and the United Kingdom. Collaboration network analysis underscores intensive transatlantic exchanges and emerging computational contributions from Asia. Keyword co-occurrence analysis (165 terms) demonstrates theoretical sophistication and empirical integration, with growing interest in neurocognitive approaches, cross-linguistic variations, and interface phenomena. Challenges include reconciling universal principles with language-specific variations and integrating processing models with formal theories. Promising research directions involve the combination of computational modelling, diachronic studies, and applications in language teaching and natural language processing. This study maps the intellectual landscape of polarity sensitivity research while suggesting future directions toward unified theories that address universal and language-specific patterns. Full article

Retention forestry creates anthropogenic ecotones that diversify forest landscapes in terms of age and biomass. Such diversification can have ambiguous ecological impacts, raising uncertainties, particularly for black alder swamp woodlands, which are considered sensitive and are prioritized in EU conservation policy. This study aimed to examine the effects of adjacent clear-cutting on ground cover vegetation in 12 black alder stands in the hemiboreal zone in Latvia 11 to 120 years since the harvest. Ground cover vegetation was recorded by species along 40 m transects. The effects of the time since adjacent stand harvesting and exposure to the edge on species richness and Shannon diversity were assessed using linear mixed-effects models. A detrended correspondence analysis was used to explore the main environmental gradients. A total of 103 species were recorded: 15 in the tree and shrub layer, 66 in the herbaceous layer, and 22 in the moss and lichen layer. The exposure to the adjacent stand had a moderate positive effect on species diversity, while the effects of edge age were complex and varied by stand type. The scale of disturbance (the absolute length of the analyzed edge), rather than edge age or exposure, had the most pronounced effect on ground cover vegetation composition, suggesting persistent secondary edge effects that should be considered in forest management and conservation planning. Full article

In an increasingly competitive global tourism context, territorial branding plays a key role in enhancing the visibility, identity, and resilience of regions. This study focuses on the Algarve, a region in southern Portugal, and investigates how innovation and competitiveness are reflected in its digital communication strategy. Using a mixed-methods approach, this research combines the quantitative analysis of 689 social media posts published in 2024 on Facebook, Instagram, and YouTube with the qualitative content analysis of 38 documents and the official website of Algarve. The findings reveal a coherent and visually appealing brand narrative centred on the coastal identity of the Algarve, complemented by content related to nature, gastronomy, and cultural heritage. Instagram stands out as the most engaging platform, particularly when posts adopt a participatory tone, emotional storytelling, and references to specific locations. However, only 6.4% of the content surpassed the 1% engagement threshold, suggesting limited audience connection. The website presents a broader thematic range but under-represents intangible heritage and local products.The Algarve brand successfully projects an aspirational image based on landscape and leisure but would benefit from greater content diversification, enhanced stakeholder integration, and expanded narrative strategies to strengthen digital engagement and destination competitiveness. Full article

Population growth and urbanization are straining the limited space in the built environment. The business districts take up a great portion of this built space. These districts face climate change hazards and spatial emptiness due to their profit-driven foundation. Sustainable ambitions and strategic locations offer the potential to rethink business districts and integrate them into the living environment. Understanding business districts as potential workscapes, more socio-ecological inclusive business districts, is a new perspective. This research formulates a method to define the spatial quality of business districts through literature review and spatial analysis. A spatial analysis of forty cases in the Netherlands presents a higher spatial quality on more diverse landscapes. This indicates that diversification of the business districts’ landscape from monotone to multitone is needed to enable workscape development. Landscape-driven urbanism is needed to generate this desired level of quality. The research highlights the strategic location of edge-city business districts, situated between urban and rural areas, showing the potential to strengthen the urban-rural relationship. Further research on and by design is needed to enable workscape development. Full article

Land use change significantly influences landscape pattern adjustments, thereby altering ecosystem functions and service flows, ultimately impacting ecosystem service value (ESV). However, previous studies have often examined the impacts of land use change and landscape patterns on ecosystem services from a one-dimensional perspective, overlooking the complex interactions among these factors. This study proposes a “process–structure–value” response framework and applies it to a case study of the western Sichuan urban agglomeration. Its aim is to identify the spatial and temporal characteristics of land use and landscape pattern evolution. Additionally, it quantitatively evaluates the synergistic effects of these changes on ESV evolution from 2000 to 2020 using a correlation analysis. The results show that, over the past 20 years, the study area experienced a significant expansion of construction land by 184,729.41 hm², leading to the dispersion and fragmentation of arable land, grassland, and waters, resulting in an overall trend of fragmentation and diversification in landscape patterns. The ESV increased by CNY 2.619 billion, primarily due to the increased ESV associated with forest land and waters. This study found that the synergistic effects of land use processes and landscape pattern structures significantly enhanced ESV. The transition from construction land and arable land to forest land and waters notably improved the ESV. Meanwhile, increased landscape diversity and patch connectivity further enhanced the ecosystem service function. Furthermore, the ecological environment of the study area remained vulnerable despite the increased ESV. Overall, the results highlight the significant correlation between changes in land use processes, landscape patterns, and ESV, emphasizing the necessity of integrating the “process–structure–value” framework in future research to comprehensively assess the responses of land use and landscape patterns to ESV, providing a more comprehensive reference for land use planning and policy development. Full article

The rise of Construction 4.0—driven by digitalisation, automation, and data-intensive technologies—is radically reshaping the construction industry. While its technological innovations are widely acknowledged, their implications for industrial relations remain underexplored. In this study, we conduct a systematic literature review (SLR) of 91 peer-reviewed articles published between 2010 and 2024, aiming to synthesise emerging knowledge on how Construction 4.0 is transforming workforce dynamics, employment models, and labour relations. Using NVivo software and an inductive thematic approach, we identify seven key themes: workforce transformation, the attraction of new generations and women, skill requirements and workforce development, supply chain and logistics optimisation, digital twin technology in project management, the emergence of new business models, and safety and risk assessment. Our findings highlight both opportunities—such as improved collaboration, skill diversification, and enhanced productivity—and challenges, including job displacement, digital ethics, and widening disparities between developed and developing countries. Recent studies from 2023 and 2024 underscore routine-biased changes in workforce structure, evolving project management practices through digital twins, and critical skill shortages within the sector. Furthermore, contemporary policy shifts and increasing labour tensions in some regions reveal deeper socio-economic implications of digital construction. This review contributes to a more holistic understanding of how technological innovation intersects with social systems in the built environment. The insights presented offer valuable guidance for policymakers, educators, and industry leaders seeking to navigate the evolving landscape of Construction 4.0. Full article

This study investigates the role of innovation in shaping economic growth across the heterogeneous landscape of the European Union (EU). Through a detailed analysis at the NUTS-3 level, it identifies regions characterized by sustained and above-average growth, thereby providing new insights into the mechanisms through which innovation contributes to regional economic resilience and long-term prosperity. Our methodology employs panel data from the EU27 Member States and the United Kingdom (UK), spanning the period from 2002 to 2022, allowing a more comprehensive understanding of the determinants of regional growth, including Gross Value Added (GVA) across various industries, the unemployment rate, and inflation. Furthermore, the role of innovation as a pivotal force driving economic progress is underscored. The analysis reveals significant differentiation within the cluster, supporting the assumption that innovation plays a crucial role in driving robust and, most notably, sustainable economic growth in a region. The findings further highlight that regions with an industry structure closely resembling the sample average are significantly influenced by innovation. From this, it can be deduced that innovation is a key driver of sustainable growth, especially in regions with the necessary infrastructure, skilled labour, and industry diversification to effectively harness innovative activities. Full article

Livelihood diversification for traditional villages is essential to reducing poverty, addressing rural hollowing, and achieving the Sustainable Development Goals (SDGs). Shanxi Province—with its wealth of ancient villages, diverse cultural heritage, and unique landscapes—serves as a critical case for analyzing livelihood strategies. This research proposes a framework for livelihood diversification in Shanxi Province’s 619 traditional villages. Firstly, we constructed an indicator system to measure livelihood assets, including ecological stability, economic feasibility, land productivity, cultural inheritance, and social service capacity. Then, the trade-offs and synergies between each pair of assets are explored based on the correlation tests and the Geographically Weighted Regression (GWR) model. Finally, the Self-Organizing Map (SOM) model is employed to cluster the dominant livelihood assets of the sample villages. The results indicated that (1) the current sustainable livelihood levels of traditional villages in Shanxi Province exhibit spatial differentiation and imbalance. (2) The analysis confirms significant synergy between cultural inheritance, social service capacity, and economic feasibility, suggesting that appropriate protection and enhancement of local culture positively correlates with sustainable economic and social development in the villages. (3) Utilizing the SOM clustering model, six distinct types of sustainable livelihood strategies for traditional villages in Shanxi Province were successfully identified. Furthermore, a county-scale “multi-livelihood zoning” strategy has been proposed. The findings of this research can serve as a valuable reference for strategic planning and the implementation of rural revitalization. Full article

This paper examines the intersection between entrepreneurship government policy and managerial theory. The context chosen for this study is India. India has experienced a significant global geopolitical shift that is coinciding with India’s domestic policy reforms and notable domestic initiatives. Since 2014, India’s entrepreneurial ecosystem has seen a significant increase in the number of startups and unicorns. This paper presents arguments that the confluence of global realignments, such as the diversification of supply chains away from China and increasing interest in the Indo-Pacific region, along with domestic initiatives like “Make in India”, “Startup India”, and digitalization drives, along with massive investments in infrastructure improvements, have made India a desirable destination for entrepreneurial activity. By examining these factors through the lens of three theories—resource-based view, global value chain, and innovation ecosystem theory—this paper identifies key opportunities and challenges for entrepreneurs across various sectors. It is hoped that this research will contribute to a deeper understanding of India’s evolving entrepreneurial landscape. In addition, entrepreneurs, policymakers, and investors can benefit from this article to understand the opportunities and challenges India poses in order to contribute to India’s continued economic growth and its emergence as a global entrepreneurial powerhouse. Finally, this paper helps to bridge the gap between economic policy and management theory. Full article