Search Results (84)

Objectives: This study aimed to compare the clinical, functional, and radiological outcomes of three different fixation techniques—dorsal locking plate, crossed cortical screw, and a combination of both—used in first metatarsophalangeal (MTP) joint arthrodesis for advanced-stage hallux rigidus. The goal was to provide evidence-based guidance for surgical technique selection. Methods: This retrospective cohort study included 52 patients with advanced hallux rigidus (stage III–IV, Coughlin–Shurnas classification) who underwent surgical treatment between 2023 and 2025 at the Department of Orthopedics and Traumatology of Ankara Etlik City Hospital, with a minimum follow-up of one year. Patients were categorized into three groups according to the fixation technique used. Visual Analog Scale (VAS), American Orthopaedic Foot & Ankle Society (AOFAS) score, and Foot Function Index (FFI) were assessed using validated Turkish-language versions of the questionnaires. Radiological parameters included hallux valgus angle, first toe dorsiflexion angle, distal interphalangeal (DIP) arthritis, and radiographic union—defined as trabecular bridging across at least three cortices on weight-bearing anteroposterior and lateral radiographs. ANCOVA was performed with age as a covariate. Results: A total of 52 patients were included: Group 1 (dorsal plate fixation, n = 19), Group 2 (crossed cortical screw fixation, n = 16), and Group 3 (combined fixation, n = 17). Group 1 patients were significantly older (mean age: 64 ± 6 vs. 55 ± 6 and 59 ± 5 years; p < 0.001). After age adjustment, VAS pain scores were significantly higher in Group 1 compared to Group 3 (mean VAS: 2.8 ± 0.6 vs. 1.9 ± 0.5; p = 0.010). AOFAS scores did not differ significantly (p = 0.166), although Group 2 showed the highest median value (90 [70–93]). FFI scores differed significantly (p < 0.001), with Group 1 reporting worse outcomes (19 [17–31]) than Group 2 (15 [13–22], p = 0.03) and Group 3 (15 [11–16], p = 0.01). Dorsiflexion angle was significantly lower in Group 2 than Group 1 (median 19° vs. 27°; p = 0.04), though all remained within the physiological range. Radiographic union was achieved in 50/52 patients (96.2%), without significant intergroup differences (p = 0.612). Complications included two cases of wound dehiscence in Group 1; no infections, symptomatic non-union, malalignment, or hardware irritation were observed. Conclusions: Crossed cortical screw fixation yielded the most favorable functional outcomes, whereas the combined technique achieved the lowest postoperative pain scores. Dorsal plate fixation alone consistently underperformed. While outcomes were adjusted for age, residual confounding cannot be excluded. These results highlight the importance of tailoring fixation strategy to patient profile, with crossed screw and combined methods representing reliable choices for optimizing postoperative outcomes in advanced hallux rigidus. Full article

Building sustainable cities and communities is an important part of the United Nations Sustainable Development Goals. The construction and development of Urban Governance Communities is a Chinese program to respond to this goal. Drawing upon the extant national cases of innovative social governance spearheaded by People’s Daily and analogous organizations, this study elucidates the developmental process and continuous operational mechanism of urban governance community through the grounded theory (GT) approach. The explanatory framework under consideration comprises three aspects. First, it contains the precise identification and typology of traditional governance dilemmas. Secondly, it refines the core element system of “Coupling Dilemma-Cracking Path-Dependent Tools” of urban governance communities. The third objective is to provide a synopsis of the operational and developmental model of the Urban Governance Communities, which is predicated on co-construction, co-governance, and co-sharing. This model of urban governance can be selectively applied in the light of the differentiated resource endowments of the location, thus providing an operational and realistic sample for building sustainable cities and communities. Full article

Glacier retreat due to climate change is accelerating worldwide, yet the phenomenon remains abstract for many people, especially those unfamiliar with mountain environments. The Urban Glaciology experiment, conducted during Milan’s internationally renowned “Fuorisalone” 2024 design event, aimed to bridge this perceptual gap by simulating real glacier melt processes in a busy urban square. Three large ice blocks with contrasting surface conditions (i.e., clean, dirty, and debris-covered) were exposed to springtime urban temperatures, mimicking conditions found on Alpine glaciers during summer. Over one week, the blocks produced a total of 748 L of meltwater, with dirty ice melting up to four times faster than debris-covered ice, consistent with established albedo effects. These results confirmed the thermal analogy between Milan’s spring conditions (+15 to +20 °C) and the ablation season on Alpine glaciers. Visitors observed the differential melting in real time, supported by visual indicators, explanatory panels, immersive virtual experiences, and direct interaction with researchers and students. Informal interviews indicated that more than 60% of participants reported a perceptual shift, recognizing for the first time that urban temperatures can replicate glacier melting conditions. By embedding a science-based installation in a major cultural tourism event, the experiment reached a diverse, non-traditional audience—including tourists, designers, and citizens—and encouraged reflection on the implications of glacier loss. The success of this initiative highlights the potential of replicating similar models in other cities to raise awareness of environmental change through culturally engaging experiences. Full article

Land cover, topography, precipitation, and socio-economic factors exert both direct and indirect influences on urban land surface temperatures. Within the broader context of global climate change, these influences are magnified by the escalating intensity of the urban heat island effect. However, the interplay and underlying mechanisms of natural and socio-economic determinants of land surface temperatures remain inadequately explored, particularly in the context of cold-region cities located in the northern temperate zone of China. This study focuses on Changchun City, employing multispectral remote sensing imagery to derive and spatially map the distribution of land surface temperatures and topographic attributes. Through comprehensive analysis, the research identifies the principal drivers of temperature variations and delineates their seasonal dynamics. The findings indicate that population density, night-time light intensity, land use, GDP (Gross Domestic Product), relief, and elevation exhibit positive correlations with land surface temperature, whereas slope demonstrates a negative correlation. Among natural factors, the correlations of slope, relief, and elevation with land surface temperature are comparatively weak, with determination coefficients (R²) consistently below 0.15. In contrast, socio-economic factors exert a more pronounced influence, ranked as follows: population density (R² = 0.4316) > GDP (R² = 0.2493) > night-time light intensity (R² = 0.1626). The overall hierarchy of the impact of individual factors on the temperature model, from strongest to weakest, is as follows: population, night-time light intensity, land use, GDP, slope, relief, and elevation. In examining Changchun and analogous cold-region cities within the northern temperate zone, the research underscores that socio-economic factors substantially outweigh natural determinants in shaping urban land surface temperatures. Notably, human activities catalyzed by population growth emerge as the most influential factor, profoundly reshaping the urban thermal landscape. These activities not only directly escalate anthropogenic heat emissions, but also alter land cover compositions, thereby undermining natural cooling mechanisms and exacerbating the urban heat island phenomenon. Full article

Contemporary research on electric buses focuses mainly on the following issues: energy efficiency, range and transport costs, and traction battery technology. However, little research has been conducted on operational reliability. This article presents a comparative assessment of the reliability of electric buses in relation to combustion engine buses. The research was conducted under real conditions in the city of Lublin, Poland. The reliability functions of buses and their structural components were determined based on the Weibull distribution. It was shown that electric buses have a shorter distance between failures than combustion engine buses of analogous capacity. The statistical significance of the differences in reliability between electric and combustion engine buses was verified. The suitability of the Weibull model as a model of bus reliability in comparative studies was verified. The results of the research can be used to monitor current sustainable public transport development programs and to improve bus diagnostic and maintenance systems in transport companies. Full article

In various applications, IoT temporal data play a crucial role in accurately predicting future trends. Traditional models, including Rolling Window, SVR-RBF, and ARIMA, suffer from a potential accuracy decrease because they generally use all available data or the most recent data window during training, which can result in the inclusion of noisy data. To address this critical issue, this paper proposes a new forecasting technique called Adaptive Holt–Winters (AHW). The AHW approach utilizes two models grounded in an exponential smoothing methodology. The first model is trained on the most current data window, whereas the second extracts information from a historical data segment exhibiting patterns most analogous to the present. The outputs of the two models are then combined, demonstrating enhanced prediction precision since the focus is on the relevant data patterns. The effectiveness of the AHW model is evaluated against well-known models (Rolling Window, SVR-RBF, ARIMA, LSTM, CNN, RNN, and Holt–Winters), utilizing various metrics, such as RMSE, MAE, p-value, and time performance. A comprehensive evaluation covers various real-world datasets at different granularities (daily and monthly), including temperature from the National Climatic Data Center (NCDC), humidity and soil moisture measurements from the Basel City environmental system, and global intensity and global reactive power from the Individual Household Electric Power Consumption (IHEPC) dataset. The evaluation results demonstrate that AHW constantly attains higher forecasting accuracy across the tested datasets compared to other models. This indicates the efficacy of AHW in leveraging pertinent data patterns for enhanced predictive precision, offering a robust solution for temporal IoT data forecasting. Full article

This work underlines an analogy between urban and biological systems. The dialogic approach of systems biology showed us that parts constitute a whole and, in turn, the whole constitutes the parts. The development of a biological system such as an animal or a plant does not unfold by means of an autonomous internal program. Rather, it stems from the interaction of the organism’s internal response pattern and its external environment. The wide scientific literature on the genome–environment interaction confirms this. Nevertheless, the scientific community still tends to consider the environment as a mere external factor which simply modulates the organism’s program. On the contrary, the environment has a key role in development. For example, when a seed germinates after heavy rain, it does not simply react to an external signal indicating favorable conditions for germination. Rather, it interacts directly with rainwater, which becomes a developmental factor no less important than the seed coat proteins. Similar to what happens during the development of an organism, the interface between any complex system and its environment determines its structural and functional fate. We argue that large cities have blurred the interface with their natural environment and depend on delocalized global sources. They are like organisms kept alive by external devices. Hence, we propose to regenerate a vital interface between cities and their rural and natural environment as the main and promising path towards future urban civilization. Full article

Eusebius transmits a fragment of Porphyry’s Contra Christianos in which the philosopher claimed that a disease or plague (νόσος) had seized the city for many years because there was no longer any sojourn (ἐπιδημία) of Asclepius and the gods there. Since Jesus was honored, no one experienced any public help from the gods. Porphyry’s claim that Asclepius and the gods no longer dwelt in Rome resembles one of the elements of the ancient Roman ritual of evocatio, in which the tutelary deities were called out of a city by a Roman commander. It is only an analogy, since the Christians did not promise the tutelary deities that their images would be carried to their own city and given a cult, and they certainly did not make use of an obscure Roman military ceremony. Whether or not the ritual was practiced in the Imperium is not the central question of this article. Instead I wish to show that the implicit debate between Eusebius and Porphyry alludes to similar arguments between pagans and Christians in antiquity and that there are important analogies between Porphyry’s argument about the departure of Rome’s tutelary gods due to the presence of worship of the Christian deity in the city and the ritual of evocatio. Full article

Rapid urban growth and the spread of the concept of smart cities force an increasing need to understand how cities become “smart” and apply their experience where it will best take root. Understanding which experience will be most suitable is not a trivial task and requires labor-intensive analysis. This study aims to identify smart cities that are most similar to Almaty and Astana in terms of key indicators by applying quantitative methods. Using a sample of smart cities, this paper successively employs three methods—principal component analysis, hierarchical cluster analysis, and t-distributed stochastic neighbor embedding. The results showed that Denver and Ottawa are the closest to Almaty and Astana, followed by Ankara and Phoenix. The proposed methodology allowed us to assess the similarity of urban development conditions, with an assumption that similar development conditions determine approaches to the development of smart cities, and thus the relevance of experiences from other smart cities worldwide could be applied to Almaty and Astana. This approach is intended to contribute to the effectiveness of transferring advanced solutions of smart city development to the context of Kazakhstan. The obtained conclusions can be used to form recommendations for the development strategy of Almaty and Astana, as well as other cities facing similar challenges. Full article

City-building games are very popular, on both digital and analog platforms. However, analog games named after cities are a tradition in modern board games. These games, resulting from the game design innovations of the last decades, are engaging a growing number of players worldwide. We wanted to understand what drives players and game designers to develop games that have a direct connection with cities or urban matters. We intend to explore them and identify their design patterns in order to support game-based planning support tools, mostly for participatory and collaborative planning. Planners have been using game-based processes, and analog games seem to be the easier solution. We analyzed the top-ranking city-building games (CBGs) and games named after cities (GNACs) from Board Game Geek (BGG) and then ran a survey with BGG users (n = 102). The results show that GNACs do not deeply portray cities but tend to focus on a specific dimension. CBGs are better at mimicking an urban planning process but with many simplifications. Despite this, mastering the design of these two types of games is useful for planners who wish to use game-based planning processes. However, the engagement level might depend on the target audience. Full article

Against the background of global climate change, agricultural ecosystems face extreme weather, resource shortages, and carbon emission pressures, necessitating green transitions. Rural tourism, a key driver of rural revitalization, injects momentum into green agriculture through ecological resource monetization, low-carbon technology adoption, and industrial restructuring. This study evaluates rural tourism and agricultural green development levels in Jiangxi Province (2008–2022) using the entropy weight method and explores their spatiotemporal coordination via a coupling coordination degree model and spatial autocorrelation analysis. The study reveals the following: (1) Rural tourism and agricultural green development in Jiangxi Province demonstrate an upward trend overall, though with significant regional disparities. Regions such as Nanchang and Jiujiang exhibit higher coordination levels, while areas like Pingxiang and Xinyu persistently cluster in low-value agglomerations. (2) The coupling coordination degree transitions from “marginal imbalance” to “intermediate coordination”, with Nanchang City achieving “good coordination” status in 2022, forming a high-value radiation zone encompassing Nanchang, Jiujiang, and Yichun. Low-value regions remain constrained by inadequate resource exploitation and technological lag. (3) Global spatial autocorrelation analysis reveals significant positive agglomeration effects (Moran’s I values range from 0.148 to 0.312). Local spatial associations show coexisting patterns of ‘high-high’ synergy and ‘low-low’ lock-in”. The study proposes targeted policy interventions, industrial convergence enhancement, and regional coordination mechanism optimization to mitigate spatial disparities and foster high-quality synergetic development. This study establishes theoretical foundations for agricultural green transition integrated with rural tourism development while offering referential pathways for analogous regions confronting climate change challenges. Full article

This article covers the subject of illusory exposure of non-existent architectural objects in their original location. The authors believe that this specific conservation method is a way to disseminate knowledge about the past architectural landscape and thus to increase the identity of cities and their inhabitants. The concept refers to augmented reality, but the authors use only analog optical means to visualize the virtual component. The visualization consists of projecting the object onto the walls of buildings and the ground. In order to preserve their intact condition, light projection is used. The image creates the illusion of three-dimensionality if it is perceived from the center of the projection. After a preliminary analysis of the available means of light expression, this article presents the results of this research. In the first stage, a simple geometric model was visualized using various techniques in order to evaluate them and select the optimal one. In the second stage, a virtual visualization of a specific architectural object was created. Its form and location were established based on the analysis of historical iconographic material and reports from archaeological works. The influence of local conditions on the practical possibilities of light projection was taken into account. Full article

Ozone (O₃) is a crucial atmospheric component that significantly affects air quality and poses considerable health risks to humans. In the coastal areas of the Yangtze River Delta, typhoons, influenced by the subtropical high-pressure system, can lead to complex ozone pollution situations. This study aimed to explore the causes, sources, and health risks of O₃ pollution during such events. Ground-based data from Jiaxing City’s key ozone precursor (VOCs) composition observations, ERA5 reanalysis data, and models CMAQ-ISAM and PMF were employed. Focusing on the severe ozone pollution event in Jiaxing from 3 to 11 September 2022, the results showed that local ozone production was the main contributor (60.8–81.4%, with an average of 72.3%), while external regional transport was secondary. Concentrations of olefins and aromatic hydrocarbons increased remarkably, playing a vital role in ozone formation. Meteorological conditions, such as reduced cloud cover during typhoon periphery transit, promoted ozone accumulation. By considering the unique respiratory exposure habits of the Chinese population, refined health risk assessments were conducted. Acrolein was found to be the main cause of chronic non-carcinogenic risks (NCRs), with NCR values reaching 1.74 and 2.02 during and after pollution. In lifetime carcinogenic risk (LCR) assessment, the mid-pollution LCR was 1.73 times higher, mainly due to 1,2-dichloroethane and benzene. This study presents a methodology that is readily adaptable to analogous pollution incidents, thereby providing a pragmatic framework to guide actionable local government policy-making aimed at safeguarding public health and mitigating urban ozone pollution. Full article

Waste is a complex challenge that requires collaboration between multiple stakeholders to achieve a circular economy. In this context, there is a growing demand for digital solutions that integrate physical and digital infrastructure to create digital waste governance systems. Analog management, without accurate data, is becoming increasingly unfeasible in light of the UN Sustainable Development Goals. Tools such as online geographic information systems (WebGIS) allow the collection and integration of large volumes of physical and human data and the establishment of a digital governance structure that brings together different technologies, tools and methods in the same environment. This article aims to present the State of the Art on the topics of zero-waste cities, WebGIS, and disruptive innovation. The article starts from the hypothesis that only a process of disruptive and systemic innovation in the value chain and urban solid waste management (MSWMS), supported by the principle of zero-waste cities, circular economy and webGIS, can effectively help to solve this problem. The research uses an exploratory literature review on the concepts of zero-waste cities, systemic innovation and webGIS applied to waste management, linking them to the theoretical framework of sustainability as a science and to Brazilian public policies, such as the National Solid Waste Policy (Law 12.305/2010), the National Circular Economy Policy (Law 1.874/2022) and the National Digital Government Strategy of Brazil 2024–2027 (ENGD). As a result, scientific publications on zero-waste cities increased from 2018 to 2023 and several countries have adopted zero-waste guidelines in waste management policies. WebGIS, remote sensing, geoprocessing and different technologies are increasingly being incorporated into waste management, generating significant impacts on the diversion of resources from landfills, mitigating climate change, and generating and/or adding value to the useful life of waste and garbage resources, in addition to the optimization and efficiency of collection operators and citizen engagement in public policies. Disruptive innovation has proven to be a concrete process to enable the transition from obsolete sociotechnical systems (such as the linear economy), where sustainable finance and environmental entities play a fundamental role in orchestrating and coordinating the convergence of private, public and civil society actors towards this new sustainable development paradigm. The case study proved to be fruitful in proposing and encouraging the adoption of such methods and principles in municipal waste management, allowing us to outline a first conception of a digital government structure and digitalization of public services for zero-waste cities, as well as pointing out the difficulties of implementing and transforming these systems. This digital governance structure demonstrates the possibility of being replicable and scalable to other cities around the world, which can materialize an important tool for the implementation, articulation and development of a long-term sustainable development paradigm, based on the vision of the circular economy and zero-waste cities. Full article

This study presents a Generative AI-Enhanced Cybersecurity Framework designed to strengthen enterprise data privacy management while improving threat detection accuracy and scalability. By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. At its core, the anomaly detection engine integrates machine learning models, such as Random Forest and Support Vector Machines (SVMs), alongside deep learning techniques like Long Short-Term Memory (LSTM) networks, delivering robust performance across diverse domains. Experimental results demonstrate the framework’s adaptability and high performance in the financial sector (accuracy: 94%, recall: 95%), healthcare (accuracy: 96%, precision: 93%), and smart city infrastructures (accuracy: 91%, F1 score: 90%). The framework achieves a balanced trade-off between accuracy (0.96) and computational efficiency (processing time: 1.5 s per transaction), making it ideal for real-time enterprise deployments. Unlike analog systems that achieve > 0.99 accuracy at the cost of higher resource consumption and limited scalability, this framework emphasizes practical applications in diverse sectors. Additionally, it employs differential privacy, encryption, and data masking to ensure data security while addressing modern cybersecurity challenges. Future work aims to enhance real-time scalability further and explore reinforcement learning to advance proactive threat mitigation measures. This research provides a scalable, adaptive, and practical solution for enterprise-level cybersecurity and data privacy management. Full article