Search Results (1,177)

The rapid growth of electric vehicles (EVs) is intensifying charging demand in space-constrained parking facilities, where fixed charging piles (FCPs) are often underutilized due to parking–charging coupling and stall blocking. This study develops a coordinated planning framework for a hybrid charging system that integrates FCPs and mobile charging robots (MCRs). Two optimization models—operator profit maximization and social welfare maximization—are formulated to jointly determine the capacity configuration (numbers of FCPs and MCRs) and the spatial layout of FCPs and MCR base stations, subject to a queueing-theory-based waiting-time constraint. A nested heuristic solution method combining particle swarm optimization (PSO) and K-means++ is designed for tractable computation. Numerical experiments on a representative parking facility demonstrate a clear complementarity between fixed and mobile chargers: FCPs serve baseload demand economically, while MCRs provide flexible capacity that reduces average waiting time and mitigates congestion. The results further quantify the divergence between private and social objectives; when robot costs are reduced, the social-welfare model deploys approximately 35% more robots than the profit-maximizing solution to reduce user time losses. By improving charger utilization, the proposed hybrid planning approach enhances resource efficiency and supports sustainable EV charging infrastructure in dense urban parking facilities. Full article

Pedestrian safety remains a major concern in rapidly urbanizing cities of developing countries, where road traffic crashes constantly involve vulnerable road users. In Lahore, Pakistan, pedestrian facilities such as signalized crossings often underperform due to limited awareness, inadequate design, poor maintenance, and weak enforcement. This study evaluates pedestrian awareness, perception, and compliance with pedestrian signals along the Mall Road Corridor, a busy urban arterial serving diverse socio-economic groups. Data were collected through a self-administered questionnaire survey, yielding 600 valid responses. Descriptive statistics, Pearson correlation analysis, ordinal logistic regression, and factor analysis were employed to examine the influence of socio-demographic characteristics and perceived infrastructural attributes on pedestrian behavior. Results indicate that gender, age, education, employment status, and income significantly affect compliance with pedestrian signals. Factor analysis identified seven latent constructs related to compliance behavior, safety perception, signal placement, traffic conditions, perceived importance, and user satisfaction. Only 43% of respondents demonstrated full awareness of pedestrian signals, and 54% reported regular or occasional use. The findings highlight that in this perception-based study, both infrastructural quality and perceived safety strongly shape pedestrian compliance, underscoring the need for targeted design improvements and enforcement measures to enhance pedestrian safety in developing urban contexts. Full article

This study evaluates the service quality of smart campus dining services as a core element of sustainable school meal governance and health-promoting campus environments. A structured questionnaire grounded in the five SERVQUAL dimensions—tangibles, reliability, responsiveness, assurance, and empathy—was administered to 375 users of a smart campus catering platform, including students, faculty and staff, and education administrators from 20 counties and cities in Taiwan. The data were analyzed using gap analysis, confirmatory factor analysis, multiple regression, and Importance–Performance Analysis (IPA) to identify major service quality gaps and sustainability-oriented improvement priorities. The results show that tangibles, reliability, responsiveness, and assurance significantly predict overall service quality, with assurance exerting the strongest effect, while empathy is highly correlated with the other dimensions. IPA further indicates that outdated or insufficient smart facilities fall into the high-importance/low-performance area and thus represent a critical weakness. These findings provide empirical evidence for data-driven and user-centered management of school meal services, supporting more efficient resource allocation, AI-assisted menu planning, and IoT-based food safety monitoring. By linking service quality assessment with sustainable campus governance, the study contributes to efforts to promote healthy eating, reduce food waste, and strengthen localized food supply collaboration, in line with Sustainable Development Goals related to health, education, and responsible consumption. Full article

Pavement markings are critical traffic safety facilities that provide continuous and clear visual guidance to road users, thereby supporting traffic order and driving safety. During long-term service, however, white pavement markings are prone to yellowing under ultraviolet (UV) irradiance and elevated temperatures, which may reduce visibility. This study conducted accelerated aging tests on white thermoplastic and two-component pavement markings under four levels of ultraviolet irradiance (0–1.5 W/m² at 340 nm) and temperature (20–80 °C) to quantitatively characterize the macroscopic evolution of yellowing (YI) under controlled environmental conditions. Generalized linear mixed-effects models (GLMMs) were then used to quantify the effects of UV exposure, temperature, and time on the yellowing behavior of white pavement markings. The results indicate that temperature is a key environmental driver of YI increases. UV irradiance also has a pronounced promoting effect, and the yellowing responses differ markedly between material types. The results clarify how UV irradiance, thermal conditions, and material systems jointly influence the yellowing behavior of white pavement markings, providing a scientific basis for evaluating anti-yellowing performance, improving durability design, and guiding engineering applications under complex environmental conditions. Full article

The emergence of Building Information Modelling, Internet of Things, and Cave Automatic Virtual Environments (CAVEs) has created new opportunities for remote monitoring and decision-making in the operational built environment, yet empirical evidence supporting their use as alternatives to on-site observation remains limited. This study evaluates task and human performance in a controlled experiment comparing a CAVE with a real-world setting (n = 26). Situation awareness, workload, anxiety, presence, usability, and user experience were measured across conditions. Participants in the CAVE demonstrated substantially higher situation awareness (M = 92.1%) than those in the real-world condition (M = 56.8%), alongside significantly lower overall workload (NASA-TLX weighted workload = 38.3 vs. 53.8). Anxiety remained consistently low in the CAVE (ΔSTAI = –1.0), whereas participants in the real-world condition exhibited higher baseline anxiety followed by a large reduction during task execution (ΔSTAI = –13.2). The CAVE also elicited high levels of spatial presence, involvement, and realism relative to comparable projection-based systems, while usability ratings (SUS) were above industry benchmarks (M = 74.2). Together, these findings indicate that controlled immersive representations of built environments can support sensemaking and reduce extraneous cognitive load relative to live, uncontrolled on-site observation, with important implications for remote facilities management and operational decision-making. Full article

Developing the bioeconomy offers a critical sustainable path away from fossil fuels by using renewable biological resources to create feed, food, materials, and energy; fostering decarbonization; and supporting circular economic growth. However, the pivotal role of different demonstration facilities in unlocking viable bio-based products remains to be fully defined and appreciated. This review addresses the importance and added value of developing a novel integrated multi-trophic aquaculture (IMTA) demonstration site in the peatlands as a scalable facility to support companies and end-users who are co-creating and testing appropriate bio-based products for new markets along with de-risking for investments. The operational activities necessary to develop and launch a fully functional IMTA-based bioeconomy demonstration site to meet a diversity of end-user expectations are considerable, including many unforeseen challenges that are addressed in this review. The IMTA site offers considerable potential for building a networked ecosystem of end-users (farmers, start-ups, entrepreneurs, companies, policy-makers), enabling alternative uses of land along with tailoring strategic policies for enhancing regional resilience and competitiveness with a global orientation. Full article

The development of an immersive virtual reality laboratory in the facilities of a private Mexican university is presented. This laboratory contemplates the use of different disciplines and different student profiles, for which it was developed considering technological, ergonomic, educational, and disciplinary requirements. A primary assessment of a selected group of students was developed to find out the initial level of satisfaction with the user experience in the laboratory and the improvements to be proposed for future adaptations. Full article

Hepatitis B virus (HBV) infection is a silent epidemic; many infected people are asymptomatic and not aware of the infection. In 2022, it was reported that approximately 254 million people were living with chronic HBV infection globally, majority being in sub-Saharan Africa and Asia. In Kenya, the national HBV prevalence is estimated to be 3.5%. Our study was aimed at identifying key predictors and transmission trends that could inform the development of sustainable prevention models needed to address existing gaps in the national framework towards HBV elimination. We targeted participants seeking health services in Baringo and Kisumu county health facilities and conducted community mass testing in the two counties. Participants were interviewed using a study questionnaire and were tested for hepatitis B surface antigen (HBsAg) using an HBsAg rapid test. Venous blood was collected from participants who tested HBsAg+ for further infection confirmation and linkage to care. Logistic regression was performed to assess factors correlated with HBV infection. Out of 3034 participants, 192 tested positive for HBsAg and the prevalence of HBV infection was 6.3% (95% CI = 0.055–0.072). Intrafamilial infections in Baringo were 15.0%. HBV infection prevalence exceeded 10% among those aged 25–49 years, peaking at 13.1% in the 45–49-year age group and lowest at 1.8% in the 16–19-year age group. Overall, males had a higher prevalence in younger ages, while females above 60 years old were more affected. In multivariable logistic regression, individuals residing in Baringo (aPR = 8.1; 95% CI = 2.2–29.4), users of other injectable drugs (aPR = 6.7; 95% CI = 1.3–204.0), those traditionally circumcised (aPR 1.02; 95% CI = 0.56, 1.88), and staying >5 km from a health care facility (aPR = 10.4; 95% CI = 2.2–49.4) had significantly higher prevalence ratios of being infected with HBV. These different infection predictors underscore the need for different care and prevention approach models. Full article

Construction and Demolition Waste (CDW) management represents a growing global challenge due to the large volume and heterogeneous nature of materials involved. This study addresses this issue by developing an automated classification system based on computer vision and deep learning, aiming to enhance efficiency and sustainability compared to manual sorting methods. A representative dataset was collected in a recycling facility, and multiple convolutional architectures were evaluated, with ResNet50 employing transfer learning achieving the best performance. The model was integrated into a web-based prototype capable of processing both still images and real-time video, offering visualization and interpretability tools for users. In addition to performance evaluation, the system’s cybersecurity and resilience were analyzed, focusing on data integrity, secure model deployment, and robustness against potential cyber threats. Experimental results demonstrate competitive classification accuracy and stable operation under realistic conditions. The study confirms the technical feasibility of the approach and emphasizes the importance of incorporating cybersecurity considerations into AI-driven industrial solutions, establishing a foundation for secure, scalable, and sustainable CDW management systems. Full article

The demand for computing power has increased at a rate never seen before due to the quick development of artificial intelligence (AI) technologies and applications. Consequently, AI data centers, referring to computing facilities specifically designed for large-scale artificial intelligence workloads, have become one of the fastest-growing electricity consumers globally. Therefore, it is essential to understand the load characteristics of AI data centers and their impact on the grid. This paper provides a comprehensive review of the evolving energy landscape of AI data centers. Specifically, this paper (i) presents the energy consumption structure in AI data centers and analyzes the key workload features and patterns in four stages, emphasizing how high power density, temporal variability, and cooling requirements shape total energy use, (ii) examines the impacts of AI data centers for power systems, including impacts on grid stability, reliability and power quality, electricity markets and pricing, economic dispatch and reserve scheduling, and infrastructure planning and coordination, (iii) presents key technological, operational and sustainability challenges for AI data centers, including renewable energy integration, waste heat utilization, carbon-neutral operation, and water–energy nexus constraints, (iv) evaluates emerging solutions and opportunities, spanning grid-side measures, data-center-side strategies, and user-side demand-flexibility mechanisms, (v) identifies future research priorities and policy directions to enable the sustainable co-evolution of AI infrastructure and electric power systems. The review aims to support utilities, system operators, and researchers in maintaining reliable, resilient, and sustainable grid operation in the context of the rapid development of AI data centers. Full article

The SCANVIR^® project is a regional initiative aimed at accelerating the elimination of hepatitis C virus (HCV) by reaching high-risk populations outside traditional healthcare settings. Launched in 2017 in Limoges and later expanded to Poitiers and Bordeaux, the project organized dedicated screening and treatment days in 43 facilities taking care of intravenous drug users, migrants, and prisoners in Nouvelle-Aquitaine. These events involved multidisciplinary teams and advanced diagnostic tools, including rapid tests for HCV, HBV, and HIV; FibroScan^® for liver assessment; and GeneXpert^® for on-site HCV RNA detection. Patients also received counseling on risk prevention, addiction, psychosocial support, and treatment when needed. Between 2017 and 2024, SCANVIR^® screened 1664 patients, with 98.9% accepting FibroScan^®. Anti-HCV antibodies were detected in 23.4% of participants, among whom 41.5% (N = 162) had a replicative profile. Of these, 83% initiated treatment and 80% were cured or were still undergoing therapy. FibroScan^® assessments showed advanced fibrosis in 17% of patients, severe fibrosis in 7.2%, and severe steatosis in 18%. By promoting a “Test, Treat, Prevent” strategy, SCANVIR^® proved cost-effective in diagnosing and treating individuals distant from care structures, highlighting the value of integrating education and prevention into liver disease screening. SCANVIR^® is an officially registered European trademark. Full article

Civil defence shelters constitute an essential component of safety systems in emergency situations. The aim of this article is to assess the modernization potential of existing civil defence shelters in Poland, using a representative facility located in Olsztyn (Poland) as a case study. The analysis is based on a review of the current legal framework and identification of legislative gaps that affect the implementation of effective protective solutions. Within the case study, a detailed technical assessment of the protective structure was carried out, focusing on construction, protection against radiation and contamination, fire safety, and user ergonomics. Based on this assessment, a comparative analysis was performed between the surveyed facility and current as well as proposed technical requirements. The results revealed partial compliance with regulations while identifying significant deficiencies. To address these issues, measures such as replacing ventilation units with modern systems featuring automatic control, installing EI120-certified doors, improving emergency exit dimensions, and adding emergency lighting were proposed. Subsequently, risks associated with modernization were identified in accordance with ISO 31000. The findings highlight the need for systematic modernization of existing protective structures, clarification of legal regulations, and increased investment, which are key conditions for improving civilian safety. Full article

In the digital tourism marketplace, online reviews have become a decisive source of information for travelers who cannot directly assess the quality of hospitality services before purchase. However, it remains unclear how service-related and sustainability-related cues interact to shape guest perceptions in sustainable hotel contexts. This study investigates how intrinsic and extrinsic cues are reflected in online user reviews of sustainable hotels. Drawing on Cue Utilization Theory, a longitudinal content analysis was conducted on a worldwide online travel platform’s (OTP) reviews of hotels certified for their sustainability practices (2004–2024) by user selection. A coding framework was developed deductively based on prior studies on hotel service quality and sustainability practices, and data were analyzed using MAXQDA, Leximancer, and VADER sentiment analysis. Findings indicated that reviews primarily emphasize service quality attributes—particularly staff efficiency, food quality, and accommodation facilities—while sustainability themes appear less frequently, often in nature-related contexts. Sentiment analysis revealed a predominantly positive emotional tone shaped by service quality experiences. Overall, intrinsic cues play a central role in forming guest perceptions, highlighting the need for emotionally engaging sustainability communication strategies. Full article

Accurate measurement of wall shear stress (WSS) is essential for both fundamental and applied fluid dynamics, where it governs boundary-layer behavior, drag generation, and the performance of flow-control systems. Yet, existing WSS sensing methods remain limited by low spatial resolution, complex instrumentation, or the need for user-dependent calibration. This work introduces a method based on artificial intelligence (AI) and Oil-Film Interferometry, referred to as AI-OFI, that transforms a classical optical technique into an automated and sensor-like platform for local WSS detection. The method combines the non-intrusive precision of Oil-Film Interferometry with modern deep-learning tools to achieve fast and fully autonomous data interpretation. Interference patterns generated by a thinning oil film are first segmented in real time using a YOLO-based object detection network and subsequently analyzed through a modified VGG16 regression model to estimate the local film thickness and the corresponding WSS. A smart interrogation-window selection algorithm, based on 2D Fourier analysis, ensures robust fringe detection under varying illumination and oil distribution conditions. The AI-OFI system was validated in the high-Reynolds-number Long Pipe Facility at the Centre for International Cooperation in Long Pipe Experiments (CICLoPE), showing excellent agreement with reference pressure-drop measurements and conventional OFI, with an average deviation below 5%. The proposed framework enables reliable, real-time, and operator-independent wall shear stress sensing, representing a significant step toward next-generation optical sensors for aerodynamic and industrial flow applications. Full article

The territorial development of the city of Brno during the 19th–21st centuries meant not only the growth of built-up areas (residential, industrial, commercial), but also the absorbing of segments of the ancient rural agricultural landscape. Within the current borders of the city of Brno, a number of green areas have been preserved, which have spontaneously developed from the original agricultural landscape, without being the result of urban planning. In half of the cases (17 out of a total of 34), they have still preserved the traditional small-scale division of land. Among the 10 medium-sized Moravian cities (between 30,000 and 400,000 inhabitants) in the historical region of Moravia in the east of the Czech Republic, the presence of 34 remnants of the ancient rural landscape in the city of Brno is quite exceptional (in Ostrava only 1; in other cities 0). The subject of the research is the inventory of such segments within the city borders and an attempt to explain their location in the city, state, focusing on the role of natural factors, land ownership and personal and recreational interests of residents. Segments of the ancient rural cultural landscape were identified by comparing the current landscape on aerial photographs with the landscape image on cadastral maps from the 1820s–1830s. Additional data on their natural and cultural properties were obtained through archival and field research. The segments were classified according to their degree of preservation and forms of threat. The results show that the remains of the ancient rural cultural landscape in the city of Brno have generally been preserved in locations that, due to the slope of the slopes, unsuitable building subsoil and poor soil, but locally on warm southern slopes, were not suitable for construction for the time being. Urban gardening contributes to their preservation and these areas are part of the city’s greenery. However, urban gardening also contributes to the destruction of these remnants. In 17 cases, the land was completely re-divided, built up with recreational facilities and overgrown with trees due to poor care. Another 17 locations are threatened by this process due to ignorance of their historical value, although this is essentially a positive development in terms of benefits for the city’s residents—land users. Although the Master Plan of the city of Brno foresees the existence of garden colonies in the future, it does not address the importance of the best-preserved segments as historical heritage. Community agriculture can play a positive role in maintaining segments of rural heritage within the city. Full article